From 835f506c19b2b2f7f315d363a9acc7c7bb6cf10a Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 29 Jun 2026 22:38:57 +0200
Subject: [PATCH 01/54] new cylindrical tumor shape

---
 README.md                   |  4 ++--
 abm_calibration/optimize.py |  2 +-
 params.json                 | 11 +++++++----
 src/cart_tumor.cc           | 23 +++++++++++++++++++----
 src/params/hyperparams.cc   | 27 ++++++++++++++++++++++++---
 src/params/hyperparams.h    | 21 +++++++++++++++++----
 src/utils/utils_aux.cc      | 21 +++++++++++++++++++++
 src/utils/utils_aux.h       | 12 ++++++++++++
 8 files changed, 103 insertions(+), 18 deletions(-)

diff --git a/README.md b/README.md
index 5541760..3616e47 100644
--- a/README.md
+++ b/README.md
@@ -252,7 +252,7 @@ These are basic parameters that are commonly changed when designing a treatment
 | `seed` | 1 | - | Seed for random number generation to ensure reproducibility |
 | `output_performance_statistics` | false | - | Enable/disable performance statistics output |
 | `total_minutes_to_simulate` | 43200 | minutes | Total simulation time (default: 30 days) |
-| `initial_tumor_radius` | 150 | μm | Initial radius of the spherical tumor |
+| `initial_spherical_tumor_radius` | 150 | μm | Initial radius of the spherical tumor |
 | `bounded_space_length` | 1000 | μm | Length of the cubic simulation domain |
 | `treatment` | `{0: 3957, 8: 3957}` | day:cells | Map of treatment days to CAR-T cell counts. Key = day, Value = number of cells |
 
@@ -389,7 +389,7 @@ To modify parameters, edit the [`params.json`](params.json) file. Only include p
   "seed": 1,
   "output_performance_statistics": true,
   "total_minutes_to_simulate": 43200,
-  "initial_tumor_radius": 150.0,
+  "initial_spherical_tumor_radius": 150.0,
   "treatment": {
     "0": 3957,
     "8": 3957
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 1d13237..e8c2e6c 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -65,7 +65,7 @@ def run_ABM(params, seed):
         "seed": seed,
         "output_performance_statistics": False,
         "total_minutes_to_simulate": 1440,
-        "initial_tumor_radius": 40.0,
+        "initial_spherical_tumor_radius": 40.0,
         "treatment": {"0": 50},
         "initial_oxygen_level": initial_oxygen_level,
         "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
diff --git a/params.json b/params.json
index 89c8178..99498d8 100644
--- a/params.json
+++ b/params.json
@@ -1,10 +1,13 @@
 {
   "seed": 42,
   "output_performance_statistics": true,
-  "total_minutes_to_simulate": 43200,
-  "initial_tumor_radius": 150.0,
+  "total_minutes_to_simulate": 5,
+  "bounded_space_length": 7000.0,
+  "tumor_shape": "sphere",
+  "cylindrical_tumor_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
   "treatment": {
-    "0": 3957,
-    "8": 3957
+    "0": 0
   }
 }
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index 724ed08..8b2423f 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -133,10 +133,25 @@ int Simulate(int argc, const char** argv) {
         return sparam->initial_oxygen_level;
       });
 
-  // One spherical tumor of radius initial_tumor_radius in the center of the
-  // simulation space
-  const std::vector<Real3> positions =
-      CreateSphereOfTumorCells(sparam->initial_tumor_radius);
+  // Tumor cells initialization
+  const std::string tumor_shape = sparam->tumor_shape;
+  std::vector<Real3> positions;
+  if (tumor_shape == "sphere") {
+    // One spherical tumor of radius initial_spherical_tumor_radius in the center of the
+    // simulation space
+    positions = CreateSphereOfTumorCells(sparam->initial_spherical_tumor_radius);
+  } else if (tumor_shape == "cylinder") {
+    // One cylindrical tumor of radius initial_spherical_tumor_radius and height
+    // cylindrical_tumor_height in the center of the simulation space
+    positions = CreateCylinderOfTumorCells(
+        sparam->cylindrical_tumor_radius, sparam->cylindrical_tumor_height,
+        sparam->initial_number_of_cylindrical_tumor_cells);
+  } else {
+    Log::Error("Simulate", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+    // Exit with an error code
+    return 1;
+  }
+
   for (const auto& pos : positions) {
     std::unique_ptr<TumorCell> tumor_cell = std::make_unique<TumorCell>(pos);
     std::unique_ptr<StateControlGrowProliferate> state_control =
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 03568f1..285ea45 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -69,11 +69,22 @@ void SimParam::LoadParams(const std::string& filename) {
     }
   };
 
+  auto load_string = [&](const std::string& key, std::string& var) {
+    if (jfile.contains(key)) {
+      var = jfile[key].get<std::string>();
+    }
+  };
+
   // Load parameters from JSON file
   load_int("seed", seed);
   load_bool("output_performance_statistics", output_performance_statistics);
   load_int("total_minutes_to_simulate", total_minutes_to_simulate);
-  load_double("initial_tumor_radius", initial_tumor_radius);
+  load_string("tumor_shape", tumor_shape);
+  load_double("initial_spherical_tumor_radius", initial_spherical_tumor_radius);
+  load_double("cylindrical_tumor_radius", cylindrical_tumor_radius);
+  load_double("cylindrical_tumor_height", cylindrical_tumor_height);
+  load_int("initial_number_of_cylindrical_tumor_cells",
+           initial_number_of_cylindrical_tumor_cells);
   load_int("bounded_space_length", bounded_space_length);
 
   if (jfile.contains("treatment")) {
@@ -312,8 +323,18 @@ void SimParam::PrintParams() const {
             << (output_performance_statistics ? "true" : "false") << "\n";
   std::cout << "Total simulation time in minutes (30 days): "
             << total_minutes_to_simulate << "\n";
-  std::cout << "Initial radius of the spherical tumor (micrometers): "
-            << initial_tumor_radius << "\n";
+  std::cout << "Tumor shape: " << tumor_shape << "\n";
+  if (tumor_shape == "spherical") {
+    std::cout << "Initial radius of the spherical tumor (micrometers): "
+              << initial_spherical_tumor_radius << "\n";
+  } else if (tumor_shape == "cylindrical") {
+    std::cout << "Initial radius of the cylindrical tumor (micrometers): "
+              << cylindrical_tumor_radius << "\n";
+    std::cout << "Initial height of the cylindrical tumor (micrometers): "
+              << cylindrical_tumor_height << "\n";
+    std::cout << "Initial number of cylindrical tumor cells: "
+              << initial_number_of_cylindrical_tumor_cells << "\n";
+  }
   std::cout << "Length of the bounded space (micrometers): "
             << bounded_space_length << "\n\n";
 
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index f8711b5..4ecdd73 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -69,20 +69,33 @@ struct SimParam : public ParamGroup {
 
   /// Seed for random number generation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  int seed = 1;
+  int seed = 42;
   /// Output Performance Statistics
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   bool output_performance_statistics = false;
   /// Total simulation time in minutes (30 days by default)
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int total_minutes_to_simulate = 43200;
+  /// Length of the bounded space in micrometers
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  int bounded_space_length = 1000;
+
+  /// Tumor topology
+  /// Tumor shape: "sphere" or "cylinder"
+  std::string tumor_shape = "sphere";
   /// Initial radius of the spherical tumor (group of cancer cells) in
   /// micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t initial_tumor_radius = 150;
-  /// Length of the bounded space in micrometers
+  real_t initial_spherical_tumor_radius = 150;
+  /// Initial radius of the cylindrical tumor in micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  int bounded_space_length = 1000;
+  real_t cylindrical_tumor_radius = 3000;
+  /// Initial height of the cylindrical tumor in micrometers
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t cylindrical_tumor_height = 100;
+  /// Initial number of cylindrical tumor cells
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  int initial_number_of_cylindrical_tumor_cells = 2800;
 
   /// Treatment Dosages
   ///
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 2f4e08b..f6d45e6 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -97,6 +97,27 @@ std::vector<Real3> CreateSphereOfTumorCells(real_t sphere_radius) {
   return positions;
 }
 
+/// Create a cylindrical arrangement of tumor cells randomly distributed within its volume
+std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cylinder_height, size_t number_of_cells) {
+  std::vector<Real3> positions;
+  positions.reserve(number_of_cells);
+
+  Random* random = Simulation::GetActive()->GetRandom();
+
+  for (size_t i = 0; i < number_of_cells; ++i) {
+    // sqrt ensures uniform distribution over the disk area (area element = r dr dθ)
+    real_t angle  = random->Uniform(0.0, kTwicePi);
+    real_t radius = cylinder_radius * std::sqrt(random->Uniform(0.0, 1.0));
+    real_t height = random->Uniform(-cylinder_height / 2.0, cylinder_height / 2.0);
+
+    positions.push_back({radius * std::cos(angle),
+                         radius * std::sin(angle),
+                         height});
+  }
+
+  return positions;
+}
+
 // Function to compute the number of tumor cells of each type, the radius of the
 // tumor, the average oncoprotein level and the average oxygen level of the
 // cancer cells.
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index 3cc7a53..5900cb0 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -56,6 +56,18 @@ real_t SamplePositiveGaussian(real_t mean, real_t sigma);
 /// @return Vector of 3D positions where tumor cells should be placed
 std::vector<Real3> CreateSphereOfTumorCells(real_t sphere_radius);
 
+/// Create a cylindrical arrangement of tumor cells
+///
+/// Generates a vector of 3D positions for tumor cells arranged in a cylindrical
+/// pattern with the specified radius and height. The cells are positioned randomly 
+/// uniformly distributed within the cylinder's volume.
+///
+/// @param cylinder_radius Radius of the cylindrical tumor in micrometers
+/// @param cylinder_height Height of the cylindrical tumor in micrometers
+/// @param number_of_cells Number of tumor cells to place
+/// @return Vector of 3D positions where tumor cells should be placed
+std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cylinder_height, size_t number_of_cells);
+
 /// Compute tumor statistics and characteristics
 ///
 /// Analyzes the current tumor population to compute the number of tumor cells

From ca45f49310e8e665574ad1ea35e4268af742e7e5 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 2 Jul 2026 13:46:10 +0200
Subject: [PATCH 02/54] fix: resolve bug preventing tumor cell type export from
 TOML function mappings in some BioDynamo versions

---
 bdm.toml                 |  6 +++---
 params.json              |  2 +-
 src/agents/tumor_cell.cc | 10 +++++-----
 src/agents/tumor_cell.h  |  8 +++++---
 4 files changed, 14 insertions(+), 12 deletions(-)

diff --git a/bdm.toml b/bdm.toml
index d8a720b..7ef42e7 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -5,9 +5,9 @@ interval = 7200
 [[visualize_agent]]
 name = "TumorCell"
 additional_data_members = [
-	{name = "diameter_", function = "diameter_"},
-	{name = "volume_", function = "volume_"},
-	{name = "cell_type", function = "GetTypeAsInt"}
+  "diameter_",
+  "volume_",
+  "cell_type_"
 ]
 
 [[visualize_agent]]
diff --git a/params.json b/params.json
index 99498d8..5d35e13 100644
--- a/params.json
+++ b/params.json
@@ -3,7 +3,7 @@
   "output_performance_statistics": true,
   "total_minutes_to_simulate": 5,
   "bounded_space_length": 7000.0,
-  "tumor_shape": "sphere",
+  "tumor_shape": "cylinder",
   "cylindrical_tumor_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 2800,
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 7651754..879857c 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -152,19 +152,19 @@ void TumorCell::SetOncoproteinLevel(real_t level) {
   // cell type
   if (level >= sparams->threshold_cancer_cell_type1) {
     // between 1.5 and 2.0
-    type_ = TumorCellType::kType1;
+    SetType(TumorCellType::kType1);
   } else if (level >= sparams->threshold_cancer_cell_type2 &&
              level < sparams->threshold_cancer_cell_type1) {
-    type_ = TumorCellType::kType2;
+    SetType(TumorCellType::kType2);
   } else if (level >= sparams->threshold_cancer_cell_type3 &&
              level < sparams->threshold_cancer_cell_type2) {
-    type_ = TumorCellType::kType3;
+    SetType(TumorCellType::kType3);
   } else if (level >= sparams->threshold_cancer_cell_type4 &&
              level < sparams->threshold_cancer_cell_type3) {
-    type_ = TumorCellType::kType4;
+    SetType(TumorCellType::kType4);
   } else {
     // undefined type
-    type_ = TumorCellType::kType0;
+    SetType(TumorCellType::kType0);
   }
 }
 
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 982f9d2..86113cc 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -152,8 +152,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   void SetAttachedToCart(bool attached) { attached_to_cart_ = attached; }
   bool IsAttachedToCart() const { return attached_to_cart_; }
 
-  void SetType(TumorCellType type) { type_ = type; }
+  void SetType(TumorCellType type) { type_ = type; cell_type_ = static_cast<int>(type_); }
   TumorCellType GetType() const { return type_; }
+  int GetTypeAsInt() const { return cell_type_; }
 
   Real3 GetOlderVelocity() const { return older_velocity_; }
   void SetOlderVelocity(const Real3& velocity) { older_velocity_ = velocity; }
@@ -174,8 +175,6 @@ class TumorCell : public Cell, public ISubstanceInteractor {
 
   bool IsDead() const { return type_ == TumorCellType::kType5; }
 
-  int GetTypeAsInt() const { return static_cast<int>(type_); }
-
   /// Returns the diffusion grid for oxygen
   DiffusionGrid* GetOxygenDiffusionGrid() const { return oxygen_dgrid_; }
   /// Returns the diffusion grid for immunostimulatory factors
@@ -285,6 +284,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// aggressive. Type 5 means the cell is dead.
   TumorCellType type_ = TumorCellType::kType0;
 
+  /// Cell type as int for exporting to paraview
+  int cell_type_ = 0;
+
   /// Velocity of the cell in the previous time step
   Real3 older_velocity_ = {0, 0, 0};
 

From acff8dc68440741a35ed675434098b1fc82bc10c Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 2 Jul 2026 18:58:32 +0200
Subject: [PATCH 03/54] New Dirichlet boundaty contitions with modifiable z
 boundaries to mimic a cylindrical capsule

---
 params.json                                   |  1 +
 src/cart_tumor.cc                             | 22 +++++-
 .../cylinder_wall_boundary_condition.cc       | 39 ++++++++++
 .../cylinder_wall_boundary_condition.h        | 74 +++++++++++++++++++
 src/params/hyperparams.cc                     | 22 ++++++
 src/params/hyperparams.h                      | 35 +++++++++
 6 files changed, 190 insertions(+), 3 deletions(-)
 create mode 100644 src/diffusion/cylinder_wall_boundary_condition.cc
 create mode 100644 src/diffusion/cylinder_wall_boundary_condition.h

diff --git a/params.json b/params.json
index 5d35e13..a2c36b0 100644
--- a/params.json
+++ b/params.json
@@ -7,6 +7,7 @@
   "cylindrical_tumor_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 2800,
+  "oncoprotein_standard_deviation": 0.0,
   "treatment": {
     "0": 0
   }
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index 8b2423f..579ddd9 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -21,6 +21,7 @@
 
 #include "cart_tumor.h"
 #include "agents/tumor_cell.h"
+#include "diffusion/cylinder_wall_boundary_condition.h"
 #include "diffusion/diffusion_thomas_algorithm.h"
 #include "forces/forces_tumor_cart.h"
 #include "params/hyperparams.h"
@@ -113,13 +114,28 @@ int Simulate(int argc, const char** argv) {
 
   // Boundary Conditions Dirichlet: simulating absorption or total loss at the
   // boundaries of the space.
-  // Oxygen comming from the borders (capillary vessels)
+  // Oxygen comming from the borders (capillary vessels).
+  // The boundary condition secretes oxygen wherever z falls within
+  // [min_z_voxel_diffusion_wall_boundary, max_z_voxel_diffusion_wall_boundary],
+  // regardless of which face of the domain is being evaluated (x, y, or z
+  // faces). Depending on how these two parameters are set, this results in
+  // either:
+  //  - Oxygen produced only from a horizontal strip of the side walls, if
+  //    min_z_voxel_diffusion_wall_boundary, max_z_voxel_diffusion_wall_boundary
+  //    are set strictly inside the domain (floor and roof fall outside the
+  //    range and produce no oxygen), or
+  //  - Oxygen also produced from the floor and/or roof, if
+  //    min_z_voxel_diffusion_wall_boundary equals the domain's minimum z
+  //    (floor) and/or max_z_voxel_diffusion_wall_boundary equals the
+  //    domain's maximum z (roof).
   ModelInitializer::AddBoundaryConditions(
       kOxygen, BoundaryConditionType::kDirichlet,
       // oxygen_reference_level mmHg is the physiological level of oxygen in
       // tissues, o2 saturation is 100% at this level
-      std::make_unique<ConstantBoundaryCondition>(
-          sparam->oxygen_reference_level));
+      std::make_unique<CylinderWallBoundaryCondition>(
+          sparam->oxygen_reference_level,
+          sparam->min_z_voxel_diffusion_wall_boundary,
+          sparam->max_z_voxel_diffusion_wall_boundary));
 
   // This is useless now but should be added this way in a future version of
   // BioDynaMo
diff --git a/src/diffusion/cylinder_wall_boundary_condition.cc b/src/diffusion/cylinder_wall_boundary_condition.cc
new file mode 100644
index 0000000..8f642aa
--- /dev/null
+++ b/src/diffusion/cylinder_wall_boundary_condition.cc
@@ -0,0 +1,39 @@
+/*
+ * Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *     SPDX-License-Identifier: Apache-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ * This file contains a model developed under Google Summer of Code (GSoC)
+ * for the compiler-research.org organization.
+ */
+
+#include "diffusion/cylinder_wall_boundary_condition.h"
+
+namespace bdm {
+
+CylinderWallBoundaryCondition::CylinderWallBoundaryCondition(real_t value,
+                                                              real_t min_z,
+                                                              real_t max_z)
+    : value_(value), min_z_(min_z), max_z_(max_z) {}
+
+real_t CylinderWallBoundaryCondition::Evaluate(real_t /*x*/, real_t /*y*/,
+                                               real_t z,
+                                               real_t /*time*/) const {
+  if (z < min_z_ || z > max_z_) {
+    return 0.0;
+  }
+  return value_;
+}
+
+}  // namespace bdm
\ No newline at end of file
diff --git a/src/diffusion/cylinder_wall_boundary_condition.h b/src/diffusion/cylinder_wall_boundary_condition.h
new file mode 100644
index 0000000..b22086f
--- /dev/null
+++ b/src/diffusion/cylinder_wall_boundary_condition.h
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *     SPDX-License-Identifier: Apache-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ * This file contains a model developed under Google Summer of Code (GSoC)
+ * for the compiler-research.org organization.
+ */
+
+#ifndef CYLINDER_WALL_BOUNDARY_CONDITION_H_
+#define CYLINDER_WALL_BOUNDARY_CONDITION_H_
+
+#include "core/diffusion/diffusion_grid.h"
+#include "core/real_t.h"
+#include "core/util/root.h"
+
+namespace bdm {
+
+/// @brief Dirichlet boundary condition that secretes a substance wherever
+/// z falls within [min_z_, max_z_], regardless of which face of the domain
+/// is being evaluated (x, y, or z faces). Outside that range, the boundary
+/// condition evaluates to 0.
+///
+/// In the typical use case — modeling secretion through the side walls of
+/// a cylindrical capillary region — min_z_ and max_z_ are set strictly
+/// inside the domain, so the top and bottom faces (z = domain min / domain
+/// max) naturally fall outside [min_z_, max_z_] and evaluate to 0.
+///
+/// However, this is a consequence of the chosen z-range, not a hardcoded
+/// exclusion: if min_z_ is set exactly to the domain's minimum z (the
+/// floor), the floor will also secrete value_ at that layer. Likewise, if
+/// max_z_ is set exactly to the domain's maximum z (the roof), the roof
+/// will also secrete value_ at that layer. Callers who need to guarantee
+/// that floor/roof never secrete, regardless of the configured range,
+/// should choose min_z_/max_z_ strictly inside the domain bounds.
+class CylinderWallBoundaryCondition : public BoundaryCondition {
+  using BoundaryCondition::BoundaryCondition;
+
+ public:
+  /// @param value Constant value secreted when min_z <= z <= max_z
+  /// @param min_z Lower bound (inclusive) of the z-range where value_ is
+  /// secreted. If set to the domain's minimum z, the floor also secretes.
+  /// @param max_z Upper bound (inclusive) of the z-range where value_ is
+  /// secreted. If set to the domain's maximum z, the roof also secretes.
+  CylinderWallBoundaryCondition(real_t value, real_t min_z, real_t max_z);
+
+  /// @brief see BoundaryCondition::Evaluate()
+  real_t Evaluate(real_t x, real_t y, real_t z, real_t time) const final;
+
+ private:
+  /// Constant value of the boundary condition within [min_z_, max_z_]
+  real_t value_ = 0.0;
+  /// Lower z-bound (inclusive) where the boundary condition is active
+  real_t min_z_ = 0.0;
+  /// Upper z-bound (inclusive) where the boundary condition is active
+  real_t max_z_ = 0.0;
+
+  BDM_CLASS_DEF_OVERRIDE(CylinderWallBoundaryCondition, 1);
+};
+
+}  // namespace bdm
+
+#endif  // CORE_DIFFUSION_CYLINDER_WALL_BOUNDARY_CONDITION_H_
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 285ea45..04db031 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -126,6 +126,11 @@ void SimParam::LoadParams(const std::string& filename) {
               reduction_consumption_dead_cells);
   load_int("resolution_grid_substances", resolution_grid_substances);
 
+  load_double("lateral_oxygen_production_min_height",
+              lateral_oxygen_production_min_height);
+  load_double("lateral_oxygen_production_max_height",
+              lateral_oxygen_production_max_height);
+
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
   load_double("decay_constant_oxygen", decay_constant_oxygen);
   load_double("diffusion_coefficient_immunostimulatory_factor",
@@ -265,6 +270,19 @@ void SimParam::LoadParams(const std::string& filename) {
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances);
+  
+  // Calculate the minimum z index for the lateral oxygen production boundary condition
+  min_z_voxel_diffusion_wall_boundary = static_cast<int>(std::floor(
+      (lateral_oxygen_production_min_height + bounded_space_length / 2) *
+      (resolution_grid_substances - 1) / bounded_space_length));
+  // Calculate the maximum z index for the lateral oxygen production boundary condition
+  max_z_voxel_diffusion_wall_boundary = static_cast<int>(std::ceil(
+      (lateral_oxygen_production_max_height + bounded_space_length / 2) *
+      (resolution_grid_substances - 1) / bounded_space_length));
+  // Determine if diffusion from the floor and roof dirichlet boundaries different than zero should be applied
+  diffuse_from_floor = lateral_oxygen_production_min_height <= -bounded_space_length / 2;
+  diffuse_from_roof = lateral_oxygen_production_max_height >= bounded_space_length / 2;
+
   // 1-migration_bias_cart
   migration_one_minus_bias_cart = 1.0 - migration_bias_cart;
   // Probability of a CAR-T cell to migrate in a given
@@ -383,6 +401,10 @@ void SimParam::PrintParams() const {
   std::cout << "///\n\n";
   std::cout << "Number of voxels per axis for the substances grid: "
             << resolution_grid_substances << "\n";
+  std::cout << "Minimum height for lateral oxygen production (micrometers): "
+            << lateral_oxygen_production_min_height << "\n";
+  std::cout << "Maximum height for lateral oxygen production (micrometers): "
+            << lateral_oxygen_production_max_height << "\n";
   std::cout << "Diffusion coefficient of oxygen (μm²/min): "
             << diffusion_coefficient_oxygen << "\n";
   std::cout << "Decay constant of oxygen (min⁻¹): " << decay_constant_oxygen
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 4ecdd73..bfadadf 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -145,6 +145,22 @@ struct SimParam : public ParamGroup {
   ///  Number of voxels per axis for the substances grid
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int resolution_grid_substances = 50;
+  /// Minimum height (μm) at which lateral Dirichlet oxygen boundary conditions
+  /// are applied. Heights are expressed in the simulation coordinate system,
+  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
+  /// along the z-axis. Setting this value equal to the minimum domain height
+  /// (-bounded_space_length / 2) causes the floor boundary (z = -bounded_space_length / 2)
+  /// to also act as an oxygen-producing Dirichlet boundary.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t lateral_oxygen_production_min_height = -500.0;
+  /// Maximum height (μm) at which lateral Dirichlet oxygen boundary conditions
+  /// are applied. Heights are expressed in the simulation coordinate system,
+  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
+  /// along the z-axis. Setting this value equal to the maximum domain height
+  /// (+bounded_space_length / 2) causes the roof boundary (z = +bounded_space_length / 2)
+  /// to also act as an oxygen-producing Dirichlet boundary.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t lateral_oxygen_production_max_height = 500.0;
   /// Diffusion coefficient of oxygen in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_oxygen = 100000;
@@ -381,9 +397,28 @@ struct SimParam : public ParamGroup {
   /// Steps in one day
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   size_t steps_in_one_day = 14400;
+  
   /// Volume of a single voxel in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t voxel_volume = 8000;
+  /// Minimum voxel index (z) considered for oxygen diffusion from the wall
+  /// boundaries. It is computed as:
+  /// floor((lateral_oxygen_production_min_height + bounded_space_length / 2)
+  ///       * (resolution_grid_substances - 1) / bounded_space_length)
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  int min_z_voxel_diffusion_wall_boundary = 0;
+  /// Maximum voxel index (z) considered for oxygen diffusion from the wall
+  /// ceil((lateral_oxygen_production_max_height + bounded_space_length / 2)
+  ///       * (resolution_grid_substances - 1) / bounded_space_length)
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  int max_z_voxel_diffusion_wall_boundary = 49;
+  /// Diffusion from floor: if lateral_oxygen_production_min_height is less or equal to -bounded_space_length / 2, the floor boundary (z = -bounded_space_length / 2) will also act as an oxygen-producing Dirichlet boundary.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_from_floor = true;
+  /// Diffusion from roof: if lateral_oxygen_production_max_height is less or equal to +bounded_space_length / 2, the roof boundary (z = +bounded_space_length / 2) will also act as an oxygen-producing Dirichlet boundary.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_from_roof = true;
+
   /// 1-migration_bias_cart
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t migration_one_minus_bias_cart = 0.5;

From 2eac90421a6dd135b9258a8cb730344f6379c785 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 2 Jul 2026 19:05:21 +0200
Subject: [PATCH 04/54] Delete unecessary parameters for the Dirichlet boundary
 condition

---
 src/cart_tumor.cc         | 12 ++++++------
 src/params/hyperparams.cc | 28 ++++++++--------------------
 src/params/hyperparams.h  | 21 ++-------------------
 3 files changed, 16 insertions(+), 45 deletions(-)

diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index 579ddd9..d7a841e 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -116,17 +116,17 @@ int Simulate(int argc, const char** argv) {
   // boundaries of the space.
   // Oxygen comming from the borders (capillary vessels).
   // The boundary condition secretes oxygen wherever z falls within
-  // [min_z_voxel_diffusion_wall_boundary, max_z_voxel_diffusion_wall_boundary],
+  // [lateral_oxygen_production_min_z, lateral_oxygen_production_max_z],
   // regardless of which face of the domain is being evaluated (x, y, or z
   // faces). Depending on how these two parameters are set, this results in
   // either:
   //  - Oxygen produced only from a horizontal strip of the side walls, if
-  //    min_z_voxel_diffusion_wall_boundary, max_z_voxel_diffusion_wall_boundary
+  //    lateral_oxygen_production_min_z, lateral_oxygen_production_max_z
   //    are set strictly inside the domain (floor and roof fall outside the
   //    range and produce no oxygen), or
   //  - Oxygen also produced from the floor and/or roof, if
-  //    min_z_voxel_diffusion_wall_boundary equals the domain's minimum z
-  //    (floor) and/or max_z_voxel_diffusion_wall_boundary equals the
+  //    lateral_oxygen_production_min_z equals the domain's minimum z
+  //    (floor) and/or lateral_oxygen_production_max_z equals the
   //    domain's maximum z (roof).
   ModelInitializer::AddBoundaryConditions(
       kOxygen, BoundaryConditionType::kDirichlet,
@@ -134,8 +134,8 @@ int Simulate(int argc, const char** argv) {
       // tissues, o2 saturation is 100% at this level
       std::make_unique<CylinderWallBoundaryCondition>(
           sparam->oxygen_reference_level,
-          sparam->min_z_voxel_diffusion_wall_boundary,
-          sparam->max_z_voxel_diffusion_wall_boundary));
+          sparam->lateral_oxygen_production_min_z,
+          sparam->lateral_oxygen_production_max_z));
 
   // This is useless now but should be added this way in a future version of
   // BioDynaMo
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 04db031..1167044 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -126,10 +126,10 @@ void SimParam::LoadParams(const std::string& filename) {
               reduction_consumption_dead_cells);
   load_int("resolution_grid_substances", resolution_grid_substances);
 
-  load_double("lateral_oxygen_production_min_height",
-              lateral_oxygen_production_min_height);
-  load_double("lateral_oxygen_production_max_height",
-              lateral_oxygen_production_max_height);
+  load_double("lateral_oxygen_production_min_z",
+              lateral_oxygen_production_min_z);
+  load_double("lateral_oxygen_production_max_z",
+              lateral_oxygen_production_max_z);
 
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
   load_double("decay_constant_oxygen", decay_constant_oxygen);
@@ -270,18 +270,6 @@ void SimParam::LoadParams(const std::string& filename) {
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances);
-  
-  // Calculate the minimum z index for the lateral oxygen production boundary condition
-  min_z_voxel_diffusion_wall_boundary = static_cast<int>(std::floor(
-      (lateral_oxygen_production_min_height + bounded_space_length / 2) *
-      (resolution_grid_substances - 1) / bounded_space_length));
-  // Calculate the maximum z index for the lateral oxygen production boundary condition
-  max_z_voxel_diffusion_wall_boundary = static_cast<int>(std::ceil(
-      (lateral_oxygen_production_max_height + bounded_space_length / 2) *
-      (resolution_grid_substances - 1) / bounded_space_length));
-  // Determine if diffusion from the floor and roof dirichlet boundaries different than zero should be applied
-  diffuse_from_floor = lateral_oxygen_production_min_height <= -bounded_space_length / 2;
-  diffuse_from_roof = lateral_oxygen_production_max_height >= bounded_space_length / 2;
 
   // 1-migration_bias_cart
   migration_one_minus_bias_cart = 1.0 - migration_bias_cart;
@@ -401,10 +389,10 @@ void SimParam::PrintParams() const {
   std::cout << "///\n\n";
   std::cout << "Number of voxels per axis for the substances grid: "
             << resolution_grid_substances << "\n";
-  std::cout << "Minimum height for lateral oxygen production (micrometers): "
-            << lateral_oxygen_production_min_height << "\n";
-  std::cout << "Maximum height for lateral oxygen production (micrometers): "
-            << lateral_oxygen_production_max_height << "\n";
+  std::cout << "Minimum z-coordinate for lateral oxygen production (micrometers): "
+            << lateral_oxygen_production_min_z << "\n";
+  std::cout << "Maximum z-coordinate for lateral oxygen production (micrometers): "
+            << lateral_oxygen_production_max_z << "\n";
   std::cout << "Diffusion coefficient of oxygen (μm²/min): "
             << diffusion_coefficient_oxygen << "\n";
   std::cout << "Decay constant of oxygen (min⁻¹): " << decay_constant_oxygen
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index bfadadf..bd48441 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -152,7 +152,7 @@ struct SimParam : public ParamGroup {
   /// (-bounded_space_length / 2) causes the floor boundary (z = -bounded_space_length / 2)
   /// to also act as an oxygen-producing Dirichlet boundary.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t lateral_oxygen_production_min_height = -500.0;
+  real_t lateral_oxygen_production_min_z = -500.0;
   /// Maximum height (μm) at which lateral Dirichlet oxygen boundary conditions
   /// are applied. Heights are expressed in the simulation coordinate system,
   /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
@@ -160,7 +160,7 @@ struct SimParam : public ParamGroup {
   /// (+bounded_space_length / 2) causes the roof boundary (z = +bounded_space_length / 2)
   /// to also act as an oxygen-producing Dirichlet boundary.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t lateral_oxygen_production_max_height = 500.0;
+  real_t lateral_oxygen_production_max_z = 500.0;
   /// Diffusion coefficient of oxygen in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_oxygen = 100000;
@@ -401,23 +401,6 @@ struct SimParam : public ParamGroup {
   /// Volume of a single voxel in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t voxel_volume = 8000;
-  /// Minimum voxel index (z) considered for oxygen diffusion from the wall
-  /// boundaries. It is computed as:
-  /// floor((lateral_oxygen_production_min_height + bounded_space_length / 2)
-  ///       * (resolution_grid_substances - 1) / bounded_space_length)
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  int min_z_voxel_diffusion_wall_boundary = 0;
-  /// Maximum voxel index (z) considered for oxygen diffusion from the wall
-  /// ceil((lateral_oxygen_production_max_height + bounded_space_length / 2)
-  ///       * (resolution_grid_substances - 1) / bounded_space_length)
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  int max_z_voxel_diffusion_wall_boundary = 49;
-  /// Diffusion from floor: if lateral_oxygen_production_min_height is less or equal to -bounded_space_length / 2, the floor boundary (z = -bounded_space_length / 2) will also act as an oxygen-producing Dirichlet boundary.
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  bool diffuse_from_floor = true;
-  /// Diffusion from roof: if lateral_oxygen_production_max_height is less or equal to +bounded_space_length / 2, the roof boundary (z = +bounded_space_length / 2) will also act as an oxygen-producing Dirichlet boundary.
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  bool diffuse_from_roof = true;
 
   /// 1-migration_bias_cart
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)

From d7bf4c18d65ce02fed391a75428c8bfbf6a3a3f3 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 2 Jul 2026 20:29:31 +0200
Subject: [PATCH 05/54] delete oxygen saturation, redundant hyperparameter

---
 README.md                 | 1 -
 params.json               | 6 +++++-
 src/params/hyperparams.cc | 3 ---
 src/params/hyperparams.h  | 3 ---
 4 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 3616e47..c12c572 100644
--- a/README.md
+++ b/README.md
@@ -291,7 +291,6 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | `decay_constant_immunostimulatory_factor` | 0.016 | min⁻¹ | Decay constant (λ) for immunostimulatory factor |
 | `oxygen_reference_level` | 38 | mmHg | Boundary condition value for oxygen concentration |
 | `initial_oxygen_level` | 38 | mmHg | Initial oxygen concentration in all voxels |
-| `oxygen_saturation` | 30 | mmHg | Oxygen saturation level in the microenvironment |
 
 #### Mechanical Forces Parameters
 
diff --git a/params.json b/params.json
index a2c36b0..06287c5 100644
--- a/params.json
+++ b/params.json
@@ -1,13 +1,17 @@
 {
   "seed": 42,
   "output_performance_statistics": true,
-  "total_minutes_to_simulate": 5,
+  "total_minutes_to_simulate": 10,
   "bounded_space_length": 7000.0,
   "tumor_shape": "cylinder",
   "cylindrical_tumor_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 2800,
   "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -75.0,
+  "lateral_oxygen_production_max_z": 75.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 38.0,
   "treatment": {
     "0": 0
   }
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 1167044..d8fd03e 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -139,7 +139,6 @@ void SimParam::LoadParams(const std::string& filename) {
               decay_constant_immunostimulatory_factor);
   load_double("oxygen_reference_level", oxygen_reference_level);
   load_double("initial_oxygen_level", initial_oxygen_level);
-  load_double("oxygen_saturation", oxygen_saturation);
 
   load_double("cell_repulsion_between_tumor_tumor",
               cell_repulsion_between_tumor_tumor);
@@ -405,8 +404,6 @@ void SimParam::PrintParams() const {
             << oxygen_reference_level << "\n";
   std::cout << "Initial oxygen concentration in each voxel (mmHg): "
             << initial_oxygen_level << "\n";
-  std::cout << "Oxygen saturation in the microenvironment (mmHg): "
-            << oxygen_saturation << "\n\n";
 
   /// Forces
   ///
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index bd48441..1ffff58 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -179,9 +179,6 @@ struct SimParam : public ParamGroup {
   /// Initial oxygen concentration in each voxel in mmHg
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t initial_oxygen_level = 38;
-  /// Oxygen saturation in the microenvironment in mmHg
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t oxygen_saturation = 30;
 
   /// Forces
   ///  Repulsion coeficient between tumor cells

From bd52981332d18764875457f8dddf17526db792df Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 2 Jul 2026 23:35:41 +0200
Subject: [PATCH 06/54] oxygen diffusion coefficient

---
 params.json | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/params.json b/params.json
index 06287c5..2c77c29 100644
--- a/params.json
+++ b/params.json
@@ -1,7 +1,8 @@
 {
   "seed": 42,
   "output_performance_statistics": true,
-  "total_minutes_to_simulate": 10,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
   "bounded_space_length": 7000.0,
   "tumor_shape": "cylinder",
   "cylindrical_tumor_radius": 3000.0,
@@ -11,7 +12,9 @@
   "lateral_oxygen_production_min_z": -75.0,
   "lateral_oxygen_production_max_z": 75.0,
   "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 38.0,
+  "oxygen_reference_level": 117.0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0,
   "treatment": {
     "0": 0
   }

From 315a5ac63d4721f672b8f43d010f7a366a1f23e8 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 3 Jul 2026 22:28:43 +0200
Subject: [PATCH 07/54] OutputInformationBasedOnRadiusCSV for analysing the
 tumor for different radius

---
 params.json               |   5 +-
 src/params/hyperparams.cc |  18 ++++
 src/params/hyperparams.h  |  10 +++
 src/utils/utils_aux.cc    | 173 +++++++++++++++++++++++++++++++++-----
 src/utils/utils_aux.h     |  22 +++--
 5 files changed, 200 insertions(+), 28 deletions(-)

diff --git a/params.json b/params.json
index 2c77c29..694e546 100644
--- a/params.json
+++ b/params.json
@@ -4,8 +4,11 @@
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 7000.0,
-  "tumor_shape": "cylinder",
+  "tumor_shape": "sphere",
+  "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 10,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 2800,
   "oncoprotein_standard_deviation": 0.0,
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index d8fd03e..9921c82 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -114,6 +114,14 @@ void SimParam::LoadParams(const std::string& filename) {
     output_csv_interval = static_cast<int>(12 * 60 / dt_step);
   }
 
+  load_bool("output_information_dependent_on_radius",
+            output_information_dependent_on_radius);
+
+  load_double("max_radius_analysis_csv_dependent_on_radius",
+              max_radius_analysis_csv_dependent_on_radius);
+
+  load_int("num_radius_intervals", num_radius_intervals);
+
   load_double("volume_relaxation_rate_cytoplasm_apoptotic_cells",
               volume_relaxation_rate_cytoplasm_apoptotic_cells);
   load_double("volume_relaxation_rate_nucleus_apoptotic_cells",
@@ -366,6 +374,16 @@ void SimParam::PrintParams() const {
   std::cout << "Time step for the cell cycle (minutes): " << dt_cycle << "\n";
   std::cout << "General time step for the simulation: " << dt_step << "\n";
   std::cout << "Output CSV interval: " << output_csv_interval << "\n\n";
+  std::cout << "Output information dependent on radius: "
+            << (output_information_dependent_on_radius ? "true"
+                                                                   : "false")
+            << "\n\n";
+  if (output_information_dependent_on_radius) {
+    std::cout << "Number of radius intervals to output the agregated information CSV: "
+              << num_radius_intervals << "\n\n";
+    std::cout << "Maximum radius for the analysis of information dependent on radius: "
+              << max_radius_analysis_csv_dependent_on_radius << "\n\n";
+  }
 
   /// Apoptotic cells volume change
   std::cout << "/// Apoptotic cells volume change\n";
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 1ffff58..c58fd8c 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -127,6 +127,16 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int output_csv_interval = 7200;
 
+  /// Outputs an additional CSV with information dependent on the radius of the tumor if the tumor is spherical its from its center point and if it is cylindrical its from the axis of the cylinder
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool output_information_dependent_on_radius = false;
+  /// Maximum radius for the analysis of information dependent on radius
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t max_radius_analysis_csv_dependent_on_radius = 3000;
+  /// Number of radius intervals to output the agregated information CSV. The concatenation of the intervals goes from 0 (the center of the tumor) to max_radius_analysis_csv_dependent_on_radius. The number of intervals is used to divide the radius into equal parts and output the agregated information for each interval.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  int num_radius_intervals = 10;
+
   /// Apoptotic cells volume change
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t volume_relaxation_rate_cytoplasm_apoptotic_cells = 0.0166667;
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index f6d45e6..0a4a7b9 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -99,6 +99,7 @@ std::vector<Real3> CreateSphereOfTumorCells(real_t sphere_radius) {
 
 /// Create a cylindrical arrangement of tumor cells randomly distributed within its volume
 std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cylinder_height, size_t number_of_cells) {
+  
   std::vector<Real3> positions;
   positions.reserve(number_of_cells);
 
@@ -119,14 +120,18 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 }
 
 // Function to compute the number of tumor cells of each type, the radius of the
-// tumor, the average oncoprotein level and the average oxygen level of the
-// cancer cells.
-std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t>
-AnalyzeTumor() {
+// tumor, the number of alive and dead cart cells, the average oncoprotein level, the average oxygen level of the
+// cancer cells and the average oxygen level of all cells. Only considering cells within the specified inner and outer radius.
+std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
+           real_t, real_t, real_t>
+AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
+  real_t inner_radius_squared = inner_radius_considered * inner_radius_considered;
+  real_t outer_radius_squared = outer_radius_considered * outer_radius_considered;
+  
   Simulation* sim = Simulation::GetActive();
   ResourceManager* rm = sim->GetResourceManager();
   DiffusionGrid* oxygen_dgrid = rm->GetDiffusionGrid("oxygen");
+  const auto* sparams = sim->GetParam()->Get<SimParam>(); 
 
   int total_num_tumor_cells = 0;
   int num_tumor_cells_type1 = 0;
@@ -135,22 +140,47 @@ AnalyzeTumor() {
   int num_tumor_cells_type4 = 0;
   int num_tumor_cells_type5_dead = 0;
   int num_alive_cart = 0;
+  int num_dead_cart = 0;
 
   real_t max_dist_sq = 0.0;
   real_t acumulator_oncoprotein = 0.0;
   real_t acumulator_oxygen_cancer_cells = 0.0;
+  real_t acumulator_oxygen_all_cells = 0.0;
+
+  bool tumor_shape_is_cylindrical = sparams->tumor_shape == "cylinder";
+  bool tumor_shape_is_spherical = sparams->tumor_shape == "sphere";
 
   rm->ForEachAgent([&](const Agent* agent) {
+    // Compute the distance to the center depending on the tumor shape
+    const Real3& pos = agent->GetPosition();
+    real_t dist_sq = 0.0;
+    if (tumor_shape_is_cylindrical) {
+      // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+      dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
+    } else if (tumor_shape_is_spherical) {
+      // Consider all three dimensions for spherical radius
+      dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];  
+    } else{
+      Log::Error("AnalyzeTumor", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+    } 
+
+    //If the cell is outside the considered radius range, skip it
+    if (dist_sq < inner_radius_squared || dist_sq >= outer_radius_squared) {
+      return;
+    }
+
+    // Accumulate oxygen level for average calculation
+    acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
+
+    // The agent is within the considered radius range, analyze it
     if (const auto* tumor_cell = dynamic_cast<const TumorCell*>(agent)) {
+
       total_num_tumor_cells++;
-      const Real3& pos = agent->GetPosition();
 
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_cancer_cells += oxygen_dgrid->GetValue(pos);
 
       // computing tumor radius
-      const real_t dist_sq =
-          pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];
       if (dist_sq > max_dist_sq) {
         max_dist_sq = dist_sq;
       }
@@ -183,6 +213,9 @@ AnalyzeTumor() {
     } else if (const auto* cart_cell = dynamic_cast<const CarTCell*>(agent)) {
       if (cart_cell->GetState() == CarTCellState::kAlive) {
         num_alive_cart++;
+      } else if (cart_cell->GetState() == CarTCellState::kApoptotic) {
+        //Dead CART cell
+        num_dead_cart++;
       }
     }
   });
@@ -195,11 +228,15 @@ AnalyzeTumor() {
       (total_num_tumor_cells > 0)
           ? (acumulator_oxygen_cancer_cells / total_num_tumor_cells)
           : 0.0;
+  const real_t average_oxygen_all_cells =
+      (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0)
+          ? (acumulator_oxygen_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
+          : 0.0;
   return {total_num_tumor_cells, num_tumor_cells_type1,
           num_tumor_cells_type2, num_tumor_cells_type3,
           num_tumor_cells_type4, num_tumor_cells_type5_dead,
-          num_alive_cart,        std::sqrt(max_dist_sq),
-          average_oncoprotein,   average_oxygen_cancer_cells};
+          num_alive_cart, num_dead_cart, std::sqrt(max_dist_sq),
+          average_oncoprotein,   average_oxygen_cancer_cells, average_oxygen_all_cells};
 }
 
 // Function to output summary CSV
@@ -210,6 +247,11 @@ void OutputSummary::operator()() {
   const uint64_t current_step = scheduler->GetSimulatedSteps();
 
   if (current_step % frequency_ == 0) {
+    // Calculate time in days, hours, minutes
+    const double total_minutes = static_cast<double>(current_step) * sparams->dt_step;
+    const double total_hours = total_minutes / kMinutesInAnHour;
+    const double total_days = total_hours / kHoursInADay;
+
     // Delete csv content current_step == 0 to, otherwise append mode
     std::ofstream file("output/final_data.csv",
                        current_step == 0 ? std::ios::trunc : std::ios::app);
@@ -219,18 +261,12 @@ void OutputSummary::operator()() {
             << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
                "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
                "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_"
-               "cart,average_oncoprotein,average_oxygen_cancer_cells\n";  // Header
+               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells\n";  // Header
                                                                           // for
                                                                           // CSV
                                                                           // file
       }
 
-      // Calculate time in days, hours, minutes
-      const double total_minutes =
-          static_cast<double>(current_step) * sparams->dt_step;
-      const double total_hours = total_minutes / kMinutesInAnHour;
-      const double total_days = total_hours / kHoursInADay;
-
       // Count total cells, tumor cells of each type and tumor radius
       int total_num_tumor_cells = 0;
       int num_tumor_cells_type1 = 0;
@@ -239,14 +275,17 @@ void OutputSummary::operator()() {
       int num_tumor_cells_type4 = 0;
       int num_tumor_cells_type5_dead = 0;
       int num_alive_cart = 0;
+      int num_dead_cart = 0;
       real_t tumor_radius = 0.0;
       real_t average_oncoprotein = 0.0;
       real_t average_oxygen_cancer_cells = 0.0;
+      real_t average_oxygen_all_cells = 0.0;
+      // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
-               num_alive_cart, tumor_radius, average_oncoprotein,
-               average_oxygen_cancer_cells) = AnalyzeTumor();
+               num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
+               average_oxygen_cancer_cells, average_oxygen_all_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
       size_t total_num_cells = simulation->GetResourceManager()->GetNumAgents();
 
       // If a dosage is administred this exact time the numbers are not seen in
@@ -269,12 +308,104 @@ void OutputSummary::operator()() {
            << total_num_tumor_cells << "," << num_tumor_cells_type1 << ","
            << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
-           << num_alive_cart << "," << average_oncoprotein << ","
-           << average_oxygen_cancer_cells << "\n";
+           << num_alive_cart << ","<< num_dead_cart << "," << average_oncoprotein << ","
+           << average_oxygen_cancer_cells << "," << average_oxygen_all_cells << "\n";
+    }
+
+    if (sparams->output_information_dependent_on_radius) {
+      OutputInformationBasedOnRadiusCSV(current_step, total_minutes, total_hours, total_days);
     }
   }
 }
 
+// Function to output information based on radius to CSV
+void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t total_minutes, const real_t total_hours, const real_t total_days) {
+  const Simulation* simulation = Simulation::GetActive();
+  const auto* sparams = simulation->GetParam()->Get<SimParam>();
+  const real_t interval_size = sparams->max_radius_analysis_csv_dependent_on_radius / sparams->num_radius_intervals;
+
+  // Delete csv content current_step == 0 to, otherwise append mode
+  std::ofstream file("output/data_dependent_on_radius_tumor.csv",
+                      current_step == 0 ? std::ios::trunc : std::ios::app);
+  if (file.is_open()) {
+    if (current_step == 0) {
+      // Header for CSV file
+      file << "total_days,total_hours,total_minutes";
+      for (int i = 0; i < sparams->num_radius_intervals; ++i) {
+        file << ",num_alive_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",num_dead_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",total_num_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",num_alive_tumor_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",total_num_tumor_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",num_alive_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",num_dead_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",tumor_cells_type1_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",tumor_cells_type2_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",tumor_cells_type3_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",tumor_cells_type4_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",tumor_cells_type5_dead_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",average_oncoprotein_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",average_oxygen_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",average_oxygen_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;  
+      }
+      // End of header line
+      file << "\n";
+    }
+
+    for (int i = 0; i < sparams->num_radius_intervals; ++i) {
+
+
+      real_t inner_radius_considered = i * interval_size;
+      real_t outer_radius_considered = (i + 1) * interval_size;
+
+      // Count total cells, tumor cells of each type and tumor radius
+      int total_num_tumor_cells = 0;
+      int num_tumor_cells_type1 = 0;
+      int num_tumor_cells_type2 = 0;
+      int num_tumor_cells_type3 = 0;
+      int num_tumor_cells_type4 = 0;
+      int num_tumor_cells_type5_dead = 0;
+      int num_alive_cart = 0;
+      int num_dead_cart = 0;
+      real_t tumor_radius = 0.0;
+      real_t average_oncoprotein = 0.0;
+      real_t average_oxygen_cancer_cells = 0.0;
+      real_t average_oxygen_all_cells = 0.0;
+      // Analyze tumor with no limits on inner and outer radius
+      std::tie(total_num_tumor_cells, num_tumor_cells_type1,
+              num_tumor_cells_type2, num_tumor_cells_type3,
+              num_tumor_cells_type4, num_tumor_cells_type5_dead,
+              num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
+              average_oxygen_cancer_cells, average_oxygen_all_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
+
+      const int num_alive_tumor_cells = num_tumor_cells_type1 + num_tumor_cells_type2 + num_tumor_cells_type3 + num_tumor_cells_type4;
+      const int num_alive_cells = num_alive_cart + num_alive_tumor_cells;
+      const int num_dead_cells = num_dead_cart + num_tumor_cells_type5_dead;
+      const int total_num_cells = num_alive_cells + num_dead_cells;
+
+      // Write data to CSV file
+      file << total_days << "," << total_hours << "," << total_minutes;
+      file << "," << num_alive_cells
+            << "," << num_dead_cells 
+            << "," << total_num_cells
+            << "," << num_alive_tumor_cells
+            << "," << total_num_tumor_cells
+            << "," << num_alive_cart
+            << "," << num_dead_cart
+            << "," << num_tumor_cells_type1
+            << "," << num_tumor_cells_type2
+            << "," << num_tumor_cells_type3
+            << "," << num_tumor_cells_type4
+            << "," << num_tumor_cells_type5_dead
+            << "," << average_oncoprotein
+            << "," << average_oxygen_cancer_cells
+            << "," << average_oxygen_all_cells;
+    }  
+    // End of line for the current step
+    file << "\n";
+  }
+}; 
+
 // Function to spawn CAR-T cell dosages
 void SpawnCart::operator()() {
   Simulation* simulation = Simulation::GetActive();
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index 5900cb0..6a82ff5 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -1,5 +1,5 @@
 /*
- * Copyright 2025 compiler-research.org, Salvador de la Torre Gonzalez, Luciana
+ * Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez, Luciana
  * Melina Luque
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
@@ -70,9 +70,10 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 
 /// Compute tumor statistics and characteristics
 ///
-/// Analyzes the current tumor population to compute the number of tumor cells
+/// Analyzes the current tumor population to compute the number of cells
 /// of each type and the overall radius of the tumor mass. In addition, it
-/// computes the average oncoprotein level and oxygen across all tumor cells.
+/// computes the average oncoprotein level and oxygen across all tumor cells and all cells.
+/// Only cells within the specified inner and outer radius are considered for the analysis.
 ///
 /// @return Tuple containing:
 ///   - Total number of tumor cells
@@ -82,12 +83,14 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 ///   - Number of type 4 tumor cells (least aggressive)
 ///   - Number of type 5 tumor cells (dead)
 ///   - Number of living CAR-T cells (not apoptotic)
+///   - Number of dead CAR-T cells (apoptotic)
 ///   - Current tumor radius in micrometers
 ///   - Average oncoprotein level across all tumor cells
 ///   - Average oxygen level across all tumor cells
-std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t>
-AnalyzeTumor();
+///   - Average oxygen level across all cells
+std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
+           real_t, real_t, real_t>
+AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered);
 
 /// Generates a random direction unitary vector
 ///
@@ -145,6 +148,13 @@ struct OutputSummary : public StandaloneOperationImpl {
 // NOLINTNEXTLINE(cppcoreguidelines-owning-memory)
 inline BDM_REGISTER_OP(OutputSummary, "OutputSummary", kCpu);
 
+/// Function to output information based on radius to CSV, agregate values for each radius from the center of the cylindrical tumor
+/// @param current_step Current simulation step
+/// @param total_minutes Total simulation time in minutes
+/// @param total_hours Total simulation time in hours
+/// @param total_days Total simulation time in days
+void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t total_minutes, const real_t total_hours, const real_t total_days);
+
 }  // namespace bdm
 
 #endif  // CORE_UTIL_UTILS_AUX_H_

From f88dbf85894cbd0e1c9991119c76e5521b74374e Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 3 Jul 2026 23:40:29 +0200
Subject: [PATCH 08/54] Fix in OutputInformationBasedOnRadiusCSV, stoere the
 time just once. python draft file to analyse the csv

---
 draft/analysis_radius_oxygen.py | 41 +++++++++++++++++++++++++++++++++
 params.json                     |  2 +-
 src/utils/utils_aux.cc          |  3 ++-
 3 files changed, 44 insertions(+), 2 deletions(-)
 create mode 100644 draft/analysis_radius_oxygen.py

diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
new file mode 100644
index 0000000..2981cd7
--- /dev/null
+++ b/draft/analysis_radius_oxygen.py
@@ -0,0 +1,41 @@
+import re
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# ---- settings ----
+CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
+MINUTE = 3780  # change this to the minute you want to plot
+
+# ---- load data ----
+df = pd.read_csv(CSV_PATH)
+print(df.head())
+row = df[df["total_minutes"] == MINUTE].iloc[0]
+
+# ---- find radius columns ----
+pattern = re.compile(r"^average_oxygen_all_cells_radius_(\d+)_to_(\d+)$")
+points = []
+for col in df.columns:
+    m = pattern.match(col)
+    if m and pd.notna(row[col]):
+        x_start, x_end = int(m.group(1)), int(m.group(2))
+        radius = (x_start + x_end) / 2
+        points.append((radius, row[col]))
+
+points.sort()
+radii = [p[0] for p in points]
+oxygen = [p[1] for p in points]
+
+print(f"Minute: {MINUTE}")
+print(f"Radius range with data: {radii[0]} to {radii[-1]}")
+print(f"Number of points: {len(radii)}")
+
+# ---- plot ----
+plt.figure(figsize=(8, 5))
+plt.plot(radii, oxygen, marker="o")
+plt.xlabel("Radius (um)")
+plt.ylabel("Average oxygen (all cells)")
+plt.title(f"Average oxygen vs radius - minute {MINUTE}")
+plt.grid(True, alpha=0.3)
+plt.tight_layout()
+plt.savefig("oxygen_vs_radius.png", dpi=150)
+plt.show()
\ No newline at end of file
diff --git a/params.json b/params.json
index 694e546..57aaeef 100644
--- a/params.json
+++ b/params.json
@@ -4,7 +4,7 @@
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 7000.0,
-  "tumor_shape": "sphere",
+  "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 0a4a7b9..2e8155d 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -351,6 +351,8 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
       // End of header line
       file << "\n";
     }
+    // Write the time information for the current step
+    file << total_days << "," << total_hours << "," << total_minutes;
 
     for (int i = 0; i < sparams->num_radius_intervals; ++i) {
 
@@ -384,7 +386,6 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
       const int total_num_cells = num_alive_cells + num_dead_cells;
 
       // Write data to CSV file
-      file << total_days << "," << total_hours << "," << total_minutes;
       file << "," << num_alive_cells
             << "," << num_dead_cells 
             << "," << total_num_cells

From 8737900d2763c18aab8c2ceaa8a63a53098f0ac7 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 3 Jul 2026 23:50:46 +0200
Subject: [PATCH 09/54] atribute analysis

---
 draft/analysis_radius_oxygen.py |  26 ++++++++++++++++----------
 draft/oxygen_vs_radius.png      | Bin 0 -> 49197 bytes
 params.json                     |   4 ++--
 3 files changed, 18 insertions(+), 12 deletions(-)
 create mode 100644 draft/oxygen_vs_radius.png

diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 2981cd7..c8a9bf7 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,15 +4,17 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 3780  # change this to the minute you want to plot
+MINUTE = 300  # change this to the minute you want to plot
+ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+# other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
+# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
-print(df.head())
 row = df[df["total_minutes"] == MINUTE].iloc[0]
 
-# ---- find radius columns ----
-pattern = re.compile(r"^average_oxygen_all_cells_radius_(\d+)_to_(\d+)$")
+# ---- find columns for the chosen attribute ----
+pattern = re.compile(rf"^{re.escape(ATTRIBUTE)}_(\d+)_to_(\d+)$")
 points = []
 for col in df.columns:
     m = pattern.match(col)
@@ -21,21 +23,25 @@
         radius = (x_start + x_end) / 2
         points.append((radius, row[col]))
 
+if not points:
+    raise SystemExit(f"No columns found matching attribute '{ATTRIBUTE}'")
+
 points.sort()
 radii = [p[0] for p in points]
-oxygen = [p[1] for p in points]
+values = [p[1] for p in points]
 
+print(f"Attribute: {ATTRIBUTE}")
 print(f"Minute: {MINUTE}")
 print(f"Radius range with data: {radii[0]} to {radii[-1]}")
 print(f"Number of points: {len(radii)}")
 
 # ---- plot ----
 plt.figure(figsize=(8, 5))
-plt.plot(radii, oxygen, marker="o")
+plt.plot(radii, values, marker="o")
 plt.xlabel("Radius (um)")
-plt.ylabel("Average oxygen (all cells)")
-plt.title(f"Average oxygen vs radius - minute {MINUTE}")
+plt.ylabel(ATTRIBUTE)
+plt.title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
 plt.grid(True, alpha=0.3)
 plt.tight_layout()
-plt.savefig("oxygen_vs_radius.png", dpi=150)
-plt.show()
\ No newline at end of file
+plt.savefig("./draft/oxygen_vs_radius.png", dpi=150)
+print("Saved plot to oxygen_vs_radius.png")
\ No newline at end of file
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
new file mode 100644
index 0000000000000000000000000000000000000000..cb7edc5cfe3e5bae32dee138dd99948c725a1282
GIT binary patch
literal 49197
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index 57aaeef..939f780 100644
--- a/params.json
+++ b/params.json
@@ -8,9 +8,9 @@
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 10,
+  "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -75.0,
   "lateral_oxygen_production_max_z": 75.0,

From 90edaacf2a7e0741e071f80831cdaa21a4dff477 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 4 Jul 2026 13:35:20 +0200
Subject: [PATCH 10/54] change units from mmHg to mol/m3

---
 draft/analysis_radius_oxygen.py |   5 +++--
 draft/oxygen_vs_radius.png      | Bin 49197 -> 56450 bytes
 draft/oxygen_vs_radius2800.png  | Bin 0 -> 49197 bytes
 draft/oxygen_vs_radius28000.png | Bin 0 -> 51703 bytes
 4 files changed, 3 insertions(+), 2 deletions(-)
 create mode 100644 draft/oxygen_vs_radius2800.png
 create mode 100644 draft/oxygen_vs_radius28000.png

diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index c8a9bf7..720b6af 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,8 +4,9 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 300  # change this to the minute you want to plot
+MINUTE = 60  # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 
@@ -28,7 +29,7 @@
 
 points.sort()
 radii = [p[0] for p in points]
-values = [p[1] for p in points]
+values = [p[1]/DIVIDING_FACTOR for p in points]
 
 print(f"Attribute: {ATTRIBUTE}")
 print(f"Minute: {MINUTE}")
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
index cb7edc5cfe3e5bae32dee138dd99948c725a1282..1c985a558df42d61ea4d8dacdf69b8a1baf84a8e 100644
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literal 0
HcmV?d00001


From a5eda8467bfb623796f59f93dd946519b75d2f5a Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 6 Jul 2026 19:19:26 +0200
Subject: [PATCH 11/54] solve bug of exygen increasing with the number of
 newborn cells

---
 abm_calibration/optimize.py                 | 128 ++++++++++++++------
 delete_me.py                                |  12 --
 draft/analysis_radius_oxygen.py             |   2 +-
 draft/oxygen_vs_radius.png                  | Bin 56450 -> 52265 bytes
 draft/oxygen_vs_radius_mol28000.png         | Bin 0 -> 55541 bytes
 params.json                                 |  19 +--
 src/diffusion/diffusion_thomas_algorithm.cc |   8 +-
 src/params/hyperparams.cc                   |  19 ++-
 src/params/hyperparams.h                    |   4 +
 src/utils/utils_aux.cc                      |  11 +-
 10 files changed, 137 insertions(+), 66 deletions(-)
 delete mode 100644 delete_me.py
 create mode 100644 draft/oxygen_vs_radius_mol28000.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index e8c2e6c..3e2906d 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -32,7 +32,7 @@
 EXPERIMENT_ID = 1
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 8
+NUMBER_OF_TRIALS = 200000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -55,20 +55,38 @@
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
-    initial_oxygen_level = params["initial_oxygen_level"]
-    default_oxygen_consumption_tumor_cell = params[
-        "default_oxygen_consumption_tumor_cell"
+    oxygen_reference_level = params[
+        "oxygen_reference_level"
+    ]
+    bounded_space_length = params[
+        "bounded_space_length"
     ]
 
     # Change this configuration for the ABM run
     config = {
         "seed": seed,
         "output_performance_statistics": False,
-        "total_minutes_to_simulate": 1440,
-        "initial_spherical_tumor_radius": 40.0,
-        "treatment": {"0": 50},
-        "initial_oxygen_level": initial_oxygen_level,
-        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+        "total_minutes_to_simulate": 60,
+        "output_csv_interval": 600,
+        "bounded_space_length": bounded_space_length,
+        "tumor_shape": "cylinder",
+        "output_information_dependent_on_radius": True,
+        "cylindrical_tumor_radius": 3000.0,
+        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+        "num_radius_intervals": 20,
+        "cylindrical_tumor_height": 100.0,
+        "initial_number_of_cylindrical_tumor_cells": 2800,
+        "oncoprotein_standard_deviation": 0.0,
+        "lateral_oxygen_production_min_z": -75.0,
+        "lateral_oxygen_production_max_z": 75.0,
+        "initial_oxygen_level": 0.0,
+        "oxygen_reference_level": oxygen_reference_level,
+        "diffusion_coefficient_oxygen": 180000.0,
+        "decay_constant_oxygen": 0,
+        "treatment": {
+            "0": 0
+        },
+        "default_oxygen_consumption_tumor_cell": 0
     }
 
     # Save the config parameters for the run to the params.json file
@@ -81,50 +99,79 @@ def run_ABM(params, seed):
 
 # Change This: Function to compute the error between the ABM simulation results and the experimental data
 def compute_error():
-    target = Path(__file__).resolve().parent / "target_data" / "final_data.csv"
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
-
-    if not target.exists():
-        logging.error("Missing target CSV: %s", target)
-        return float("inf")
+    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
 
     if not sim_dir.exists():
         logging.error("Missing simulation CSV: %s", sim_dir)
         return float("inf")
 
-    df_t = pd.read_csv(target, usecols=["total_minutes", "average_oxygen_cancer_cells"])
     df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "average_oxygen_cancer_cells"]
+        sim_dir,
+        usecols=[
+            "total_minutes",
+            "average_oxygen_all_cells_radius_2850_to_3000",
+            "average_oxygen_all_cells_radius_0_to_150",
+        ],
     )
 
-    # Merge the target and simulation dataframes on the "total_minutes" column to align the data for error computation
-    merged = pd.merge(
-        df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
-    )
+    # See the value at the minute 60 for the average oxygen level in the simulation data
+    row = df_s[df_s["total_minutes"] == 60].iloc[0]
+    value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
+    value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
+    target_value_border = 0.2
+    value_center = row["average_oxygen_all_cells_radius_0_to_150"]
+    value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
+    target_value_center = 0.9
+
+   # MSE
+    mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
+    
+    return float(mse)
 
-    if merged.empty:
-        logging.error("No common minutes between target and simulation")
-        return float("inf")
 
-    # Compute the mean squared error (MSE) between the average oxygen levels in the target and simulation data
-    mse = (
-        (
-            merged["average_oxygen_cancer_cells_s"]
-            - merged["average_oxygen_cancer_cells_t"]
-        )
-        ** 2
-    ).mean()
-    return float(mse)
+    # dafault 
+    # target = Path(__file__).resolve().parent / "target_data" / "final_data.csv"
+    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
+
+    # if not target.exists():
+    #     logging.error("Missing target CSV: %s", target)
+    #     return float("inf")
+
+    # if not sim_dir.exists():
+    #     logging.error("Missing simulation CSV: %s", sim_dir)
+    #     return float("inf")
+
+    # df_t = pd.read_csv(target, usecols=["total_minutes", "average_oxygen_cancer_cells"])
+    # df_s = pd.read_csv(
+    #     sim_dir, usecols=["total_minutes", "average_oxygen_cancer_cells"]
+    # )
+
+    # # Merge the target and simulation dataframes on the "total_minutes" column to align the data for error computation
+    # merged = pd.merge(
+    #     df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
+    # )
+
+    # if merged.empty:
+    #     logging.error("No common minutes between target and simulation")
+    #     return float("inf")
+
+    # # Compute the mean squared error (MSE) between the average oxygen levels in the target and simulation data
+    # mse = (
+    #     (
+    #         merged["average_oxygen_cancer_cells_s"]
+    #         - merged["average_oxygen_cancer_cells_t"]
+    #     )
+    #     ** 2
+    # ).mean()
+    # return float(mse)
 
 
 # Objective function for the Optuna optimization process
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "initial_oxygen_level": trial.suggest_float("initial_oxygen_level", 30, 40),
-        "default_oxygen_consumption_tumor_cell": trial.suggest_float(
-            "default_oxygen_consumption_tumor_cell", 7, 14
-        ),
+        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 1200.0, 1400.0, step=10.0),
+        "bounded_space_length": trial.suggest_float("bounded_space_length", 6500.0, 25000.0, step=100.0),        
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -189,6 +236,13 @@ def set_export_value(path: Path, value: bool):
 
         df = study.trials_dataframe()
         df.to_csv(EXPERIMENT_DIR / "optuna_results.csv", index=False, mode="w")
+        # for t in study.trials:
+        #     print(
+        #         f"Trial {t.number:2d} | "
+        #         f"value={t.value:.6f} | "
+        #         f"params={t.params} | "
+        #         f"state={t.state}"
+        #     )
 
     finally:
         # Restore the original content of the bdm.toml and params.json files always, even if an error occurs during the optimization process
diff --git a/delete_me.py b/delete_me.py
deleted file mode 100644
index 86c71fd..0000000
--- a/delete_me.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import numpy
-import pandas
-
-try:
-    import optuna
-    optuna_version = optuna.__version__
-except ImportError:
-    optuna_version = "NO INSTALADO"
-
-print("numpy:", numpy.__version__)
-print("pandas:", pandas.__version__)
-print("optuna:", optuna_version)
\ No newline at end of file
diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 720b6af..da35b9e 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 60  # change this to the minute you want to plot
+MINUTE = 300 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
index 1c985a558df42d61ea4d8dacdf69b8a1baf84a8e..da1c9f6c230183348405495d43b368db7558d9e2 100644
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index 939f780..d54c978 100644
--- a/params.json
+++ b/params.json
@@ -3,22 +3,25 @@
   "output_performance_statistics": true,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
-  "bounded_space_length": 7000.0,
+  "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
+  "num_radius_intervals": 10,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -75.0,
-  "lateral_oxygen_production_max_z": 75.0,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
   "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 117.0,
+  "oxygen_reference_level": 150.0,
   "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0,
+  "decay_constant_oxygen": 0.1,
   "treatment": {
     "0": 0
-  }
+  },
+  "default_oxygen_consumption_tumor_cell": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0
 }
diff --git a/src/diffusion/diffusion_thomas_algorithm.cc b/src/diffusion/diffusion_thomas_algorithm.cc
index 41b3b26..2fcfbed 100644
--- a/src/diffusion/diffusion_thomas_algorithm.cc
+++ b/src/diffusion/diffusion_thomas_algorithm.cc
@@ -208,9 +208,11 @@ void DiffusionThomasAlgorithm::DiffuseChemical() {
   SolveDirectionThomas(1);
   ApplyBoundaryConditionsIfNeeded();
 
-  // Solve for Z-direction (direction = 2)
-  SolveDirectionThomas(2);
-  ApplyBoundaryConditionsIfNeeded();
+  // Solve for Z-direction (direction = 2) if diffuse_on_z_axis is true
+  if (Simulation::GetActive()->GetParam()->Get<SimParam>()->diffuse_on_z_axis) {
+    SolveDirectionThomas(2);
+    ApplyBoundaryConditionsIfNeeded();
+  }
 
   // Change of concentration levels because of agents
   ComputeConsumptionsSecretions();
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 9921c82..e7c8e4d 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -136,8 +136,8 @@ void SimParam::LoadParams(const std::string& filename) {
 
   load_double("lateral_oxygen_production_min_z",
               lateral_oxygen_production_min_z);
-  load_double("lateral_oxygen_production_max_z",
-              lateral_oxygen_production_max_z);
+
+  load_bool("diffuse_on_z_axis", diffuse_on_z_axis);
 
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
   load_double("decay_constant_oxygen", decay_constant_oxygen);
@@ -148,6 +148,19 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("oxygen_reference_level", oxygen_reference_level);
   load_double("initial_oxygen_level", initial_oxygen_level);
 
+  if (jfile.contains("diffuse_on_z_axis")) {
+    diffuse_on_z_axis = jfile["diffuse_on_z_axis"].get<bool>();
+  } else {
+    // if the tumor shape is cylindrical it should be set to false, otherwise it should be set to true
+    if (tumor_shape == "cylinder") {
+      // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+      diffuse_on_z_axis = false;
+    } else {
+      // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+      diffuse_on_z_axis = true;
+    }
+  }
+
   load_double("cell_repulsion_between_tumor_tumor",
               cell_repulsion_between_tumor_tumor);
   load_double("cell_repulsion_between_cart_cart",
@@ -410,6 +423,8 @@ void SimParam::PrintParams() const {
             << lateral_oxygen_production_min_z << "\n";
   std::cout << "Maximum z-coordinate for lateral oxygen production (micrometers): "
             << lateral_oxygen_production_max_z << "\n";
+  std::cout << "Whether to diffuse Chemicals on the z-axis: "
+            << (diffuse_on_z_axis ? "true" : "false") << "\n";
   std::cout << "Diffusion coefficient of oxygen (μm²/min): "
             << diffusion_coefficient_oxygen << "\n";
   std::cout << "Decay constant of oxygen (min⁻¹): " << decay_constant_oxygen
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index c58fd8c..4a42ee0 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -171,6 +171,10 @@ struct SimParam : public ParamGroup {
   /// to also act as an oxygen-producing Dirichlet boundary.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_max_z = 500.0;
+  /// Wether the Thomas algortithm should also diffuse the Chemicals in the z-axis or not. 
+  /// If false, the diffusion will only be done in the x and y axis.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_on_z_axis = true;
   /// Diffusion coefficient of oxygen in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_oxygen = 100000;
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 2e8155d..650bc35 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -169,17 +169,18 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       return;
     }
 
-    // Accumulate oxygen level for average calculation
-    acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
-
     // The agent is within the considered radius range, analyze it
     if (const auto* tumor_cell = dynamic_cast<const TumorCell*>(agent)) {
 
+      // Accumulate oxygen level for average calculation
+      acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
+
       total_num_tumor_cells++;
 
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_cancer_cells += oxygen_dgrid->GetValue(pos);
 
+
       // computing tumor radius
       if (dist_sq > max_dist_sq) {
         max_dist_sq = dist_sq;
@@ -212,8 +213,12 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       }
     } else if (const auto* cart_cell = dynamic_cast<const CarTCell*>(agent)) {
       if (cart_cell->GetState() == CarTCellState::kAlive) {
+        // Accumulate oxygen level for average calculation
+        acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
         num_alive_cart++;
       } else if (cart_cell->GetState() == CarTCellState::kApoptotic) {
+        // Accumulate oxygen level for average calculation
+        acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
         //Dead CART cell
         num_dead_cart++;
       }

From 3bbac51f06485bd746b780b83032044df0977e78 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 6 Jul 2026 19:43:32 +0200
Subject: [PATCH 12/54] oxygen reference level and consumption rate
 optimization

---
 abm_calibration/optimize.py     |  42 +++++++++++++++++---------------
 draft/analysis_radius_oxygen.py |   2 +-
 draft/oxygen_vs_radius.png      | Bin 52265 -> 49930 bytes
 params.json                     |   4 +--
 4 files changed, 26 insertions(+), 22 deletions(-)

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 3e2906d..c349cba 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -32,7 +32,7 @@
 EXPERIMENT_ID = 1
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 200000
+NUMBER_OF_TRIALS = 2000000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -53,13 +53,13 @@
 
 
 # Function to run the ABM with the given parameters
-def run_ABM(params, seed):
+def run_ABM(params, seed, num_cells):
     # Change this: parameter to be optimized in the ABM simulation
     oxygen_reference_level = params[
         "oxygen_reference_level"
     ]
-    bounded_space_length = params[
-        "bounded_space_length"
+    default_oxygen_consumption_tumor_cell = params[
+        "default_oxygen_consumption_tumor_cell"
     ]
 
     # Change this configuration for the ABM run
@@ -68,26 +68,28 @@ def run_ABM(params, seed):
         "output_performance_statistics": False,
         "total_minutes_to_simulate": 60,
         "output_csv_interval": 600,
-        "bounded_space_length": bounded_space_length,
+        "bounded_space_length": 6500.0,
         "tumor_shape": "cylinder",
         "output_information_dependent_on_radius": True,
         "cylindrical_tumor_radius": 3000.0,
         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
         "num_radius_intervals": 20,
         "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": 2800,
+        "initial_number_of_cylindrical_tumor_cells": num_cells,
         "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -75.0,
-        "lateral_oxygen_production_max_z": 75.0,
+        "lateral_oxygen_production_min_z": -300.0,
+        "lateral_oxygen_production_max_z": 300.0,
         "initial_oxygen_level": 0.0,
         "oxygen_reference_level": oxygen_reference_level,
         "diffusion_coefficient_oxygen": 180000.0,
-        "decay_constant_oxygen": 0,
+        "decay_constant_oxygen": 0.1,
         "treatment": {
             "0": 0
         },
-        "default_oxygen_consumption_tumor_cell": 0
-    }
+        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+        "oxygen_limit_for_necrosis_maximum": 0.0,
+        "oxygen_limit_for_necrosis": 0.0
+        }
 
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -98,7 +100,7 @@ def run_ABM(params, seed):
 
 
 # Change This: Function to compute the error between the ABM simulation results and the experimental data
-def compute_error():
+def compute_error(target_inner, target_outer):
     sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
 
     if not sim_dir.exists():
@@ -118,10 +120,10 @@ def compute_error():
     row = df_s[df_s["total_minutes"] == 60].iloc[0]
     value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
-    target_value_border = 0.2
+    target_value_border = target_outer
     value_center = row["average_oxygen_all_cells_radius_0_to_150"]
     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    target_value_center = 0.9
+    target_value_center = target_inner
 
    # MSE
     mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
@@ -170,8 +172,8 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 1200.0, 1400.0, step=10.0),
-        "bounded_space_length": trial.suggest_float("bounded_space_length", 6500.0, 25000.0, step=100.0),        
+        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 300.0, 1400.0, step=10.0),
+        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 1, 400.0, step=1),        
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -179,9 +181,11 @@ def objective(trial):
     # Compute the error as the average of the errors from multiple Monte Carlo simulations varying the seed
     total_error = 0
     for seed in np.random.randint(0, 10000, NUMBER_MONTE_CARLO):
-        run_ABM(params, int(seed))
-
-        error = compute_error()
+        run_ABM(params, int(seed), num_cells=2800)
+        error = compute_error(target_inner=0.9, target_outer=0.2)
+        total_error += error
+        run_ABM(params, int(seed), num_cells=28000)
+        error = compute_error(target_inner=0.01, target_outer=0.16)
         total_error += error
 
     error = total_error / NUMBER_MONTE_CARLO
diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index da35b9e..8640672 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 300 # change this to the minute you want to plot
+MINUTE = 60 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
index da1c9f6c230183348405495d43b368db7558d9e2..30877ce891f79d12544881a089287c2f1b7210f5 100644
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diff --git a/params.json b/params.json
index d54c978..3fb63cb 100644
--- a/params.json
+++ b/params.json
@@ -10,7 +10,7 @@
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "num_radius_intervals": 10,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -21,7 +21,7 @@
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_tumor_cell": 0.0,
+  "default_oxygen_consumption_tumor_cell": 100.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0
 }

From 3a2e1dec302feabad42836231e444aa31c726ea7 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 9 Jul 2026 16:52:02 +0200
Subject: [PATCH 13/54] tunning oxygen_reference_level and cancer cell oxygen
 consumption

---
 abm_calibration/optimize.py         |  28 +++++++++++++++++---------
 bdm.toml                            |   2 +-
 draft/analysis_radius_oxygen.py     |   2 +-
 draft/generatecsv.py                |  30 ++++++++++++++++++++++++++++
 draft/oxygen_vs_radius.png          | Bin 49930 -> 55404 bytes
 draft/oxygen_vs_radius2800.png      | Bin 49197 -> 54261 bytes
 draft/oxygen_vs_radius28000.png     | Bin 51703 -> 55642 bytes
 draft/oxygen_vs_radius_mol28000.png | Bin 55541 -> 0 bytes
 params.json                         |  16 +++++++--------
 9 files changed, 59 insertions(+), 19 deletions(-)
 create mode 100644 draft/generatecsv.py
 delete mode 100644 draft/oxygen_vs_radius_mol28000.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index c349cba..d925ff2 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -32,7 +32,7 @@
 EXPERIMENT_ID = 1
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 2000000
+NUMBER_OF_TRIALS = 1
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -66,8 +66,8 @@ def run_ABM(params, seed, num_cells):
     config = {
         "seed": seed,
         "output_performance_statistics": False,
-        "total_minutes_to_simulate": 60,
-        "output_csv_interval": 600,
+        "total_minutes_to_simulate": 30,
+        "output_csv_interval": 300,
         "bounded_space_length": 6500.0,
         "tumor_shape": "cylinder",
         "output_information_dependent_on_radius": True,
@@ -116,8 +116,8 @@ def compute_error(target_inner, target_outer):
         ],
     )
 
-    # See the value at the minute 60 for the average oxygen level in the simulation data
-    row = df_s[df_s["total_minutes"] == 60].iloc[0]
+    # See the value at the minute 30 for the average oxygen level in the simulation data
+    row = df_s[df_s["total_minutes"] == 30].iloc[0]
     value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
     target_value_border = target_outer
@@ -125,6 +125,12 @@ def compute_error(target_inner, target_outer):
     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
     target_value_center = target_inner
 
+   # Debug print de los 4 valores 
+    print(f"Value border: {value_border_in_mol_m3}")
+    print(f"Target value border: {target_value_border}")
+    print(f"Value center: {value_center_in_mol_m3}")
+    print(f"Target value center: {target_value_center}")
+
    # MSE
     mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
     
@@ -172,8 +178,8 @@ def compute_error(target_inner, target_outer):
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 300.0, 1400.0, step=10.0),
-        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 1, 400.0, step=1),        
+        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 130.0, 200.0, step=1),
+        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 10.0, 20.0, step=0.1),        
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -181,12 +187,16 @@ def objective(trial):
     # Compute the error as the average of the errors from multiple Monte Carlo simulations varying the seed
     total_error = 0
     for seed in np.random.randint(0, 10000, NUMBER_MONTE_CARLO):
+        print(f"Running ABM with seed {seed} and num_cells=2800") 
         run_ABM(params, int(seed), num_cells=2800)
-        error = compute_error(target_inner=0.9, target_outer=0.2)
+        error = compute_error(target_inner=0.09, target_outer=0.19)
         total_error += error
+        print(f"Error for seed {seed}: {error}")
+        print(f"Running ABM with seed {seed} and num_cells=28000")
         run_ABM(params, int(seed), num_cells=28000)
-        error = compute_error(target_inner=0.01, target_outer=0.16)
+        error = compute_error(target_inner=0.002, target_outer=0.16)
         total_error += error
+        print(f"Error for seed {seed}: {error}")
 
     error = total_error / NUMBER_MONTE_CARLO
 
diff --git a/bdm.toml b/bdm.toml
index 7ef42e7..e2633f0 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = true
+export = false
 interval = 7200
 
 [[visualize_agent]]
diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 8640672..8d16174 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 60 # change this to the minute you want to plot
+MINUTE = 30 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
new file mode 100644
index 0000000..413528e
--- /dev/null
+++ b/draft/generatecsv.py
@@ -0,0 +1,30 @@
+import json
+import logging
+import subprocess
+from pathlib import Path
+
+import numpy as np
+import optuna
+import pandas as pd
+# Change this: File Parameters for the desired experiment
+EXPERIMENT_ID = 1
+SEED = 42
+# You can set the number of trials to 0 to skip the optimization and just load the best result from the database
+NUMBER_OF_TRIALS = 1
+# Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
+NUMBER_MONTE_CARLO = 1
+# BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
+BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
+EXPERIMENT_DIR = Path("abm_calibration") / f"experiment_{EXPERIMENT_ID}"
+
+# Create an Optuna study to optimize the parameters of the ABM
+study = optuna.create_study(
+    study_name="abm_calibration",
+    storage=f"sqlite:///{EXPERIMENT_DIR / 'abm_optuna.db'}",
+    load_if_exists=True,
+    direction="minimize",
+    sampler=optuna.samplers.TPESampler(seed=SEED),
+)
+
+df = study.trials_dataframe()
+df.to_csv(EXPERIMENT_DIR / "optuna_results.csv", index=False, mode="w")
\ No newline at end of file
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
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diff --git a/params.json b/params.json
index 3fb63cb..f95f85c 100644
--- a/params.json
+++ b/params.json
@@ -1,27 +1,27 @@
 {
-  "seed": 42,
-  "output_performance_statistics": true,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
+  "seed": 8322,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 30,
+  "output_csv_interval": 300,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 10,
+  "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 150.0,
+  "oxygen_reference_level": 146.0,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.1,
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_tumor_cell": 100.0,
+  "default_oxygen_consumption_tumor_cell": 14.5,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0
-}
+}
\ No newline at end of file

From 3d096748e2f99a0ad756d852e4a4788d7b71c4bf Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 9 Jul 2026 18:11:49 +0200
Subject: [PATCH 14/54] oxygen diffusion ready

---
 draft/analysis_radius_oxygen.py |   2 +-
 draft/oxygen_vs_radius.png      | Bin 55404 -> 0 bytes
 draft/oxygen_vs_radius2800.png  | Bin 54261 -> 55695 bytes
 draft/oxygen_vs_radius28000.png | Bin 55642 -> 56885 bytes
 params.json                     |   8 ++++----
 5 files changed, 5 insertions(+), 5 deletions(-)
 delete mode 100644 draft/oxygen_vs_radius.png

diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 8d16174..8640672 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 30 # change this to the minute you want to plot
+MINUTE = 60 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
deleted file mode 100644
index 45c6faafa904f09c50b4232cb9dd035da26a81cd..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/params.json b/params.json
index f95f85c..47cd5ad 100644
--- a/params.json
+++ b/params.json
@@ -1,8 +1,8 @@
 {
-  "seed": 8322,
+  "seed": 863,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 30,
-  "output_csv_interval": 300,
+  "total_minutes_to_simulate": 60,
+  "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
@@ -21,7 +21,7 @@
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_tumor_cell": 14.5,
+  "default_oxygen_consumption_tumor_cell": 20.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0
 }
\ No newline at end of file

From 565e5875d6a1ed793164c2a5f50342e1d8d6147b Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 11 Jul 2026 22:28:09 +0200
Subject: [PATCH 15/54] new duplication rate values and new hyperparameter for
 a basal probability of death

---
 draft/analysis_radius_oxygen.py |   2 +-
 draft/oxygen_vs_radius.png      | Bin 0 -> 52360 bytes
 params.json                     |  17 +++++++++++++----
 src/agents/tumor_cell.cc        |   3 ++-
 src/params/hyperparams.cc       |   4 ++++
 src/params/hyperparams.h        |   3 +++
 6 files changed, 23 insertions(+), 6 deletions(-)
 create mode 100644 draft/oxygen_vs_radius.png

diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 8640672..0528047 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 60 # change this to the minute you want to plot
+MINUTE = 4320 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index 47cd5ad..4f830f1 100644
--- a/params.json
+++ b/params.json
@@ -1,16 +1,18 @@
 {
-  "seed": 863,
+  "diffuse_on_z_axis": true,
+  "seed": 42,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 60,
+  "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
+  "num_radius_intervals": 100,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -18,10 +20,17 @@
   "oxygen_reference_level": 146.0,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.1,
+  "time_apoptosis": 6000.0,
   "treatment": {
     "0": 0
   },
   "default_oxygen_consumption_tumor_cell": 20.0,
+  "average_time_transformation_random_rate": 41.0,
+  "standard_deviation_transformation_random_rate": 8.0,
+  "oxygen_saturation_for_proliferation": 46.6,
+  "oxygen_limit_for_proliferation": 0.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 879857c..7612a60 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -580,7 +580,8 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
   // and multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle
   // minutes
   const real_t probability_necrosis =
-      sparams->dt_cycle * sparams->maximum_necrosis_rate * multiplier;
+      sparams->dt_cycle * ( sparams->maximum_necrosis_rate * multiplier +
+                           sparams->basal_necrosis_probability_cancer_cells );
 
   Random* random = sim->GetRandom();
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index e7c8e4d..8c3f09c 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -207,6 +207,8 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("oxygen_limit_for_necrosis", oxygen_limit_for_necrosis);
   load_double("oxygen_limit_for_necrosis_maximum",
               oxygen_limit_for_necrosis_maximum);
+  load_double("basal_necrosis_probability_cancer_cells",
+              basal_necrosis_probability_cancer_cells);
   load_double("time_lysis", time_lysis);
   load_double("maximum_necrosis_rate", maximum_necrosis_rate);
 
@@ -496,6 +498,8 @@ void SimParam::PrintParams() const {
             << oxygen_limit_for_necrosis << "\n";
   std::cout << "Limit of oxygen to maximum necrosis probability: "
             << oxygen_limit_for_necrosis_maximum << "\n";
+  std::cout << "Basal necrosis probability for tumor cells: "
+            << basal_necrosis_probability_cancer_cells << "\n";
   std::cout << "Time in minutes until a lysed necrotic cell is removed: "
             << time_lysis << "\n";
   std::cout << "Maximum rate per minute of necrosis for tumor cells: "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 4a42ee0..7aa81b6 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -272,6 +272,9 @@ struct SimParam : public ParamGroup {
   /// Limit of oxygen to maximum necrosis probability
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_limit_for_necrosis_maximum = 2.5;
+  /// Basal necrosis probability for cancer cells per minute: death due to natural random causes
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t basal_necrosis_probability_cancer_cells = 0.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_lysis = 86400;

From a359901b7cb2d3f314a9f64ec25f18a16f1231c1 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 14 Jul 2026 19:27:04 +0200
Subject: [PATCH 16/54] new parameters for oxygen diffusion

---
 abm_calibration/optimize.py        |  98 ++++++++++++++++++++++++++---
 bdm.toml                           |   2 +-
 draft/analysis_radius_oxygen.py    |   2 +-
 draft/config2_noDecay.json         |  36 +++++++++++
 draft/cylinder_configDecay0_1.json |  36 +++++++++++
 draft/deacay0_01.json              |  36 +++++++++++
 draft/generatecsv.py               |   2 +-
 draft/oxygen_vs_radius.png         | Bin 52360 -> 56471 bytes
 params.json                        |  10 +--
 9 files changed, 205 insertions(+), 17 deletions(-)
 create mode 100644 draft/config2_noDecay.json
 create mode 100644 draft/cylinder_configDecay0_1.json
 create mode 100644 draft/deacay0_01.json

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index d925ff2..5c2cc4e 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,7 +29,7 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 1
+EXPERIMENT_ID = 4
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 1
@@ -82,7 +82,7 @@ def run_ABM(params, seed, num_cells):
         "initial_oxygen_level": 0.0,
         "oxygen_reference_level": oxygen_reference_level,
         "diffusion_coefficient_oxygen": 180000.0,
-        "decay_constant_oxygen": 0.1,
+        "decay_constant_oxygen": 0.01,
         "treatment": {
             "0": 0
         },
@@ -173,13 +173,93 @@ def compute_error(target_inner, target_outer):
     # ).mean()
     # return float(mse)
 
+# Function to run the ABM with the given parameters
+def run_ABM2(params, seed, num_cells):
+    # Change this: parameter to be optimized in the ABM simulation
+    oxygen_reference_level = params[
+        "oxygen_reference_level"
+    ]
+    default_oxygen_consumption_tumor_cell = params[
+        "default_oxygen_consumption_tumor_cell"
+    ]
+
+    # Change this configuration for the ABM run
+    config = {
+        "seed": seed,
+        "output_performance_statistics": False,
+        "total_minutes_to_simulate": 30,
+        "output_csv_interval": 300,
+        "bounded_space_length": 6500.0,
+        "tumor_shape": "cylinder",
+        "output_information_dependent_on_radius": True,
+        "cylindrical_tumor_radius": 3000.0,
+        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+        "num_radius_intervals": 20,
+        "cylindrical_tumor_height": 100.0,
+        "initial_number_of_cylindrical_tumor_cells": num_cells,
+        "oncoprotein_standard_deviation": 0.0,
+        "lateral_oxygen_production_min_z": -6600.0,
+        "lateral_oxygen_production_max_z": 6600.0,
+        "diffuse_on_z_axis": True,
+        "initial_oxygen_level": 0.0,
+        "oxygen_reference_level": oxygen_reference_level,
+        "diffusion_coefficient_oxygen": 180000.0,
+        "decay_constant_oxygen": 0.01,
+        "treatment": {
+            "0": 0
+        },
+        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+        "oxygen_limit_for_necrosis_maximum": 0.0,
+        "oxygen_limit_for_necrosis": 0.0
+        }
+
+    # Save the config parameters for the run to the params.json file
+    with open(PARAMS_PATH, "w") as f:
+        json.dump(config, f, indent=2)
+
+    # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
+    subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
+
+def compute_error2(target_inner):
+    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+
+    if not sim_dir.exists():
+        logging.error("Missing simulation CSV: %s", sim_dir)
+        return float("inf")
+
+    df_s = pd.read_csv(
+        sim_dir,
+        usecols=[
+            "total_minutes",
+            "average_oxygen_all_cells_radius_2850_to_3000",
+            "average_oxygen_all_cells_radius_0_to_150",
+        ],
+    )
+
+    # See the value at the minute 30 for the average oxygen level in the simulation data
+    row = df_s[df_s["total_minutes"] == 30].iloc[0]
+    value_center = row["average_oxygen_all_cells_radius_0_to_150"]
+    value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
+    target_value_center = target_inner
+
+   # Debug print de los 4 valores 
+    print(f"Value center: {value_center_in_mol_m3}")
+    print(f"Target value center: {target_value_center}")
+
+    mse=0.
+   # MSE
+    if value_center_in_mol_m3 < target_value_center:
+        mse = (value_center_in_mol_m3 - target_value_center) ** 2
+    
+    
+    return float(mse)
 
 # Objective function for the Optuna optimization process
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 130.0, 200.0, step=1),
-        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 10.0, 20.0, step=0.1),        
+        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 90.0, 300.0, step=1),
+        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 10.0, 150.0, step=0.1),        
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -187,14 +267,14 @@ def objective(trial):
     # Compute the error as the average of the errors from multiple Monte Carlo simulations varying the seed
     total_error = 0
     for seed in np.random.randint(0, 10000, NUMBER_MONTE_CARLO):
-        print(f"Running ABM with seed {seed} and num_cells=2800") 
-        run_ABM(params, int(seed), num_cells=2800)
-        error = compute_error(target_inner=0.09, target_outer=0.19)
+        print(f"Running ABM with seed {seed} no cup") 
+        run_ABM2(params, int(seed), num_cells=28000)
+        error = compute_error2(target_inner=0.09)
         total_error += error
         print(f"Error for seed {seed}: {error}")
-        print(f"Running ABM with seed {seed} and num_cells=28000")
+        print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
         run_ABM(params, int(seed), num_cells=28000)
-        error = compute_error(target_inner=0.002, target_outer=0.16)
+        error = compute_error(target_inner=0.009, target_outer=0.16)
         total_error += error
         print(f"Error for seed {seed}: {error}")
 
diff --git a/bdm.toml b/bdm.toml
index e2633f0..7ef42e7 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = false
+export = true
 interval = 7200
 
 [[visualize_agent]]
diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
index 0528047..8640672 100644
--- a/draft/analysis_radius_oxygen.py
+++ b/draft/analysis_radius_oxygen.py
@@ -4,7 +4,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 4320 # change this to the minute you want to plot
+MINUTE = 60 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/config2_noDecay.json b/draft/config2_noDecay.json
new file mode 100644
index 0000000..a84a3a2
--- /dev/null
+++ b/draft/config2_noDecay.json
@@ -0,0 +1,36 @@
+{
+  "seed": 42,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 20,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -6600.0,
+  "lateral_oxygen_production_max_z": 6600.0,
+  "diffuse_on_z_axis": true,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 143.0,
+   "default_oxygen_consumption_tumor_cell": 68.7,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.0,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 41.0,
+  "standard_deviation_transformation_random_rate": 8.0,
+  "oxygen_saturation_for_proliferation": 46.6,
+  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0
+}
\ No newline at end of file
diff --git a/draft/cylinder_configDecay0_1.json b/draft/cylinder_configDecay0_1.json
new file mode 100644
index 0000000..acdab6d
--- /dev/null
+++ b/draft/cylinder_configDecay0_1.json
@@ -0,0 +1,36 @@
+{
+  "seed": 42,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 100,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 146.0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.1,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "default_oxygen_consumption_tumor_cell": 20.0,
+  "average_time_transformation_random_rate": 41.0,
+  "standard_deviation_transformation_random_rate": 8.0,
+  "oxygen_saturation_for_proliferation": 46.6,
+  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0
+}
\ No newline at end of file
diff --git a/draft/deacay0_01.json b/draft/deacay0_01.json
new file mode 100644
index 0000000..4598a84
--- /dev/null
+++ b/draft/deacay0_01.json
@@ -0,0 +1,36 @@
+{
+  "seed": 42,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 20,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -6600.0,
+  "lateral_oxygen_production_max_z": 6600.0,
+  "diffuse_on_z_axis": true,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 142.0,
+   "default_oxygen_consumption_tumor_cell": 53.5,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 41.0,
+  "standard_deviation_transformation_random_rate": 8.0,
+  "oxygen_saturation_for_proliferation": 46.6,
+  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0
+}
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 413528e..663c9d5 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -7,7 +7,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 1
+EXPERIMENT_ID = 3
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 1
diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius.png
index a9d7c67ee7eb5e774e2c375f75ea8ba888de9ccf..950b6ec0427a96ce205541e25f8fb7a5406e39d5 100644
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diff --git a/params.json b/params.json
index 4f830f1..3e96773 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,4 @@
 {
-  "diffuse_on_z_axis": true,
   "seed": 42,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
@@ -9,22 +8,23 @@
   "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 100,
+  "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
   "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 146.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 45.6,
   "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.1,
+  "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_tumor_cell": 20.0,
   "average_time_transformation_random_rate": 41.0,
   "standard_deviation_transformation_random_rate": 8.0,
   "oxygen_saturation_for_proliferation": 46.6,

From 1f5ab3ed591978fd36c0d833cd8195591deb9bfc Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sun, 19 Jul 2026 18:42:45 +0200
Subject: [PATCH 17/54] fitting parameter basal necrosis death rate

---
 abm_calibration/optimize.py                   | 131 +++++++++++-------
 draft/analysis_radius_atribute.py             |  66 +++++++++
 draft/analysis_radius_oxygen.py               |  48 -------
 draft/generatecsv.py                          |   6 +-
 draft/oxygen_vs_radius2800.png                | Bin 55695 -> 0 bytes
 draft/oxygen_vs_radius28000.png               | Bin 56885 -> 0 bytes
 draft/oxygen_vs_radius28000_no_cup.png        | Bin 0 -> 57781 bytes
 ...png => oxygen_vs_radius28000_with_cup.png} | Bin
 ...ls_type5_dead_radius_vs_radius2800_24h.png | Bin 0 -> 105413 bytes
 params.json                                   |   8 +-
 10 files changed, 151 insertions(+), 108 deletions(-)
 create mode 100644 draft/analysis_radius_atribute.py
 delete mode 100644 draft/analysis_radius_oxygen.py
 delete mode 100644 draft/oxygen_vs_radius2800.png
 delete mode 100644 draft/oxygen_vs_radius28000.png
 create mode 100644 draft/oxygen_vs_radius28000_no_cup.png
 rename draft/{oxygen_vs_radius.png => oxygen_vs_radius28000_with_cup.png} (100%)
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 5c2cc4e..7593675 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,10 +29,10 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 4
+EXPERIMENT_ID = 7
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 1
+NUMBER_OF_TRIALS = 5000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -53,21 +53,18 @@
 
 
 # Function to run the ABM with the given parameters
-def run_ABM(params, seed, num_cells):
+def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
-    oxygen_reference_level = params[
-        "oxygen_reference_level"
-    ]
-    default_oxygen_consumption_tumor_cell = params[
-        "default_oxygen_consumption_tumor_cell"
+    basal_necrosis_probability_cancer_cells = params[
+        "basal_necrosis_probability_cancer_cells"
     ]
 
     # Change this configuration for the ABM run
     config = {
         "seed": seed,
         "output_performance_statistics": False,
-        "total_minutes_to_simulate": 30,
-        "output_csv_interval": 300,
+        "total_minutes_to_simulate": 4320,
+        "output_csv_interval": 600,
         "bounded_space_length": 6500.0,
         "tumor_shape": "cylinder",
         "output_information_dependent_on_radius": True,
@@ -75,22 +72,30 @@ def run_ABM(params, seed, num_cells):
         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
         "num_radius_intervals": 20,
         "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": num_cells,
+        "initial_number_of_cylindrical_tumor_cells": 2800,
+        "oncoprotein_mean": 1.0,
         "oncoprotein_standard_deviation": 0.0,
         "lateral_oxygen_production_min_z": -300.0,
         "lateral_oxygen_production_max_z": 300.0,
+        "diffuse_on_z_axis": False,
         "initial_oxygen_level": 0.0,
-        "oxygen_reference_level": oxygen_reference_level,
+        "oxygen_reference_level": 165.0,
+        "default_oxygen_consumption_tumor_cell": 45.6,
         "diffusion_coefficient_oxygen": 180000.0,
         "decay_constant_oxygen": 0.01,
+        "time_apoptosis": 6000.0,
         "treatment": {
             "0": 0
         },
-        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+        "average_time_transformation_random_rate": 42.0,
+        "standard_deviation_transformation_random_rate": 8.0,
+        "oxygen_saturation_for_proliferation": 0.0,
+        "oxygen_limit_for_proliferation": 0.0,
         "oxygen_limit_for_necrosis_maximum": 0.0,
-        "oxygen_limit_for_necrosis": 0.0
+        "oxygen_limit_for_necrosis": 0.0,
+        "reduction_consumption_dead_cells": 0.0,
+        "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells
         }
-
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
         json.dump(config, f, indent=2)
@@ -100,40 +105,60 @@ def run_ABM(params, seed, num_cells):
 
 
 # Change This: Function to compute the error between the ABM simulation results and the experimental data
-def compute_error(target_inner, target_outer):
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+def compute_error():
+#     sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+
+#     if not sim_dir.exists():
+#         logging.error("Missing simulation CSV: %s", sim_dir)
+#         return float("inf")
+
+#     df_s = pd.read_csv(
+#         sim_dir,
+#         usecols=[
+#             "total_minutes",
+#             "average_oxygen_all_cells_radius_2850_to_3000",
+#             "average_oxygen_all_cells_radius_0_to_150",
+#         ],
+#     )
+
+#     # See the value at the minute 30 for the average oxygen level in the simulation data
+#     row = df_s[df_s["total_minutes"] == 30].iloc[0]
+#     value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
+#     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
+#     target_value_border = target_outer
+#     value_center = row["average_oxygen_all_cells_radius_0_to_150"]
+#     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
+#     target_value_center = target_inner
+
+#    # Debug print de los 4 valores 
+#     print(f"Value border: {value_border_in_mol_m3}")
+#     print(f"Target value border: {target_value_border}")
+#     print(f"Value center: {value_center_in_mol_m3}")
+#     print(f"Target value center: {target_value_center}")
+
+#    # MSE
+#     mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
+    
+#     return float(mse)
+    sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
+
 
     if not sim_dir.exists():
         logging.error("Missing simulation CSV: %s", sim_dir)
         return float("inf")
 
     df_s = pd.read_csv(
-        sim_dir,
-        usecols=[
-            "total_minutes",
-            "average_oxygen_all_cells_radius_2850_to_3000",
-            "average_oxygen_all_cells_radius_0_to_150",
-        ],
+        sim_dir, usecols=["total_minutes", "tumor_cells_type5_dead"]
     )
 
-    # See the value at the minute 30 for the average oxygen level in the simulation data
-    row = df_s[df_s["total_minutes"] == 30].iloc[0]
-    value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
-    value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
-    target_value_border = target_outer
-    value_center = row["average_oxygen_all_cells_radius_0_to_150"]
-    value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    target_value_center = target_inner
+   # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
+    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
+    value_dead_cells = row["tumor_cells_type5_dead"]
+    target_value_dead_cells = 310
 
-   # Debug print de los 4 valores 
-    print(f"Value border: {value_border_in_mol_m3}")
-    print(f"Target value border: {target_value_border}")
-    print(f"Value center: {value_center_in_mol_m3}")
-    print(f"Target value center: {target_value_center}")
+    # Compute the mean squared error (MSE) between the number of dead tumor cells in the target and simulation data
+    mse = (value_dead_cells - target_value_dead_cells) ** 2
 
-   # MSE
-    mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
-    
     return float(mse)
 
 
@@ -187,8 +212,8 @@ def run_ABM2(params, seed, num_cells):
     config = {
         "seed": seed,
         "output_performance_statistics": False,
-        "total_minutes_to_simulate": 30,
-        "output_csv_interval": 300,
+        "total_minutes_to_simulate": 4320,
+        "output_csv_interval": 600,
         "bounded_space_length": 6500.0,
         "tumor_shape": "cylinder",
         "output_information_dependent_on_radius": True,
@@ -258,8 +283,7 @@ def compute_error2(target_inner):
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "oxygen_reference_level": trial.suggest_float("oxygen_reference_level", 90.0, 300.0, step=1),
-        "default_oxygen_consumption_tumor_cell": trial.suggest_float("default_oxygen_consumption_tumor_cell", 10.0, 150.0, step=0.1),        
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000112, 0.0000195, step=0.0000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -267,14 +291,19 @@ def objective(trial):
     # Compute the error as the average of the errors from multiple Monte Carlo simulations varying the seed
     total_error = 0
     for seed in np.random.randint(0, 10000, NUMBER_MONTE_CARLO):
-        print(f"Running ABM with seed {seed} no cup") 
-        run_ABM2(params, int(seed), num_cells=28000)
-        error = compute_error2(target_inner=0.09)
-        total_error += error
-        print(f"Error for seed {seed}: {error}")
-        print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
-        run_ABM(params, int(seed), num_cells=28000)
-        error = compute_error(target_inner=0.009, target_outer=0.16)
+        # print(f"Running ABM with seed {seed} no cup") 
+        # run_ABM2(params, int(seed), num_cells=28000)
+        # error = compute_error2(target_inner=0.09)
+        # total_error += error
+        # print(f"Error for seed {seed}: {error}")
+        # print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
+        # run_ABM(params, int(seed), num_cells=28000)
+        # error = compute_error(target_inner=0.009, target_outer=0.16)
+        # total_error += error
+        # print(f"Error for seed {seed}: {error}")
+        print(f"Running ABM with seed {seed} and num_cells=2800 with cup")
+        run_ABM(params, int(seed))
+        error = compute_error()
         total_error += error
         print(f"Error for seed {seed}: {error}")
 
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
new file mode 100644
index 0000000..5b9c26f
--- /dev/null
+++ b/draft/analysis_radius_atribute.py
@@ -0,0 +1,66 @@
+import re
+import pandas as pd
+import matplotlib.pyplot as plt
+import re
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# ---- settings ----
+CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
+# MINUTE = 4320 # change this to the minute you want to plot
+MINUTE = 1440 # change this to the minute you want to plot
+# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+# other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
+# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
+APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+
+# ---- load data ----
+df = pd.read_csv(CSV_PATH)
+row = df[df["total_minutes"] == MINUTE].iloc[0]
+
+# ---- find columns for the chosen attribute ----
+pattern = re.compile(rf"^{re.escape(ATTRIBUTE)}_(\d+)_to_(\d+)$")
+points = []
+for col in df.columns:
+    m = pattern.match(col)
+    if m and pd.notna(row[col]):
+        x_start, x_end = int(m.group(1)), int(m.group(2))
+        radius = (x_start + x_end) / 2
+        points.append((radius, x_start, x_end, row[col]))
+
+if not points:
+    raise SystemExit(f"No columns found matching attribute '{ATTRIBUTE}'")
+
+points.sort(key=lambda p: p[0])
+radii = [p[0] for p in points]
+raw_values = np.array([p[3] for p in points], dtype=float)
+
+if APPLY_RADIAL_NORMALIZATION:
+    r_in = np.array([p[1] for p in points], dtype=float)
+    r_out = np.array([p[2] for p in points], dtype=float)
+    ring_area = np.pi * (r_out**2 - r_in**2)
+    raw_values = raw_values / ring_area
+
+values = raw_values / DIVIDING_FACTOR
+
+print(f"Attribute: {ATTRIBUTE}")
+print(f"Minute: {MINUTE}")
+print(f"Radius range with data: {radii[0]} to {radii[-1]}")
+print(f"Number of points: {len(radii)}")
+print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
+
+# ---- plot ----
+plt.figure(figsize=(8, 5))
+plt.plot(radii, values, marker="o")
+plt.xlabel("Radius (um)")
+ylabel = ATTRIBUTE + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else "")
+plt.ylabel(ylabel)
+plt.title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
+plt.grid(True, alpha=0.3)
+plt.tight_layout()
+plt.savefig("./draft/" + ATTRIBUTE + "_vs_radius.png", dpi=150)
+print("Saved plot to " + ATTRIBUTE + "_vs_radius.png")
\ No newline at end of file
diff --git a/draft/analysis_radius_oxygen.py b/draft/analysis_radius_oxygen.py
deleted file mode 100644
index 8640672..0000000
--- a/draft/analysis_radius_oxygen.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import re
-import pandas as pd
-import matplotlib.pyplot as plt
-
-# ---- settings ----
-CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 60 # change this to the minute you want to plot
-ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
-# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-
-# ---- load data ----
-df = pd.read_csv(CSV_PATH)
-row = df[df["total_minutes"] == MINUTE].iloc[0]
-
-# ---- find columns for the chosen attribute ----
-pattern = re.compile(rf"^{re.escape(ATTRIBUTE)}_(\d+)_to_(\d+)$")
-points = []
-for col in df.columns:
-    m = pattern.match(col)
-    if m and pd.notna(row[col]):
-        x_start, x_end = int(m.group(1)), int(m.group(2))
-        radius = (x_start + x_end) / 2
-        points.append((radius, row[col]))
-
-if not points:
-    raise SystemExit(f"No columns found matching attribute '{ATTRIBUTE}'")
-
-points.sort()
-radii = [p[0] for p in points]
-values = [p[1]/DIVIDING_FACTOR for p in points]
-
-print(f"Attribute: {ATTRIBUTE}")
-print(f"Minute: {MINUTE}")
-print(f"Radius range with data: {radii[0]} to {radii[-1]}")
-print(f"Number of points: {len(radii)}")
-
-# ---- plot ----
-plt.figure(figsize=(8, 5))
-plt.plot(radii, values, marker="o")
-plt.xlabel("Radius (um)")
-plt.ylabel(ATTRIBUTE)
-plt.title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
-plt.grid(True, alpha=0.3)
-plt.tight_layout()
-plt.savefig("./draft/oxygen_vs_radius.png", dpi=150)
-print("Saved plot to oxygen_vs_radius.png")
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 663c9d5..b72ad3a 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -7,12 +7,8 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 3
+EXPERIMENT_ID = 7
 SEED = 42
-# You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 1
-# Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 EXPERIMENT_DIR = Path("abm_calibration") / f"experiment_{EXPERIMENT_ID}"
diff --git a/draft/oxygen_vs_radius2800.png b/draft/oxygen_vs_radius2800.png
deleted file mode 100644
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diff --git a/draft/oxygen_vs_radius.png b/draft/oxygen_vs_radius28000_with_cup.png
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diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png b/draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png
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HcmV?d00001

diff --git a/params.json b/params.json
index 3e96773..d38d7f7 100644
--- a/params.json
+++ b/params.json
@@ -10,7 +10,7 @@
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,
@@ -25,12 +25,12 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 41.0,
+  "average_time_transformation_random_rate": 42.0,
   "standard_deviation_transformation_random_rate": 8.0,
-  "oxygen_saturation_for_proliferation": 46.6,
+  "oxygen_saturation_for_proliferation": 0.0,
   "oxygen_limit_for_proliferation": 0.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0
+  "basal_necrosis_probability_cancer_cells": 0.0000185
 }
\ No newline at end of file

From 3aacf258608cc99dabe52fc1a9875485c91515d3 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sun, 19 Jul 2026 19:10:13 +0200
Subject: [PATCH 18/54] fit basal_necrosis_probability_cancer_cells

---
 abm_calibration/optimize.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 7593675..8e868a5 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -283,7 +283,7 @@ def compute_error2(target_inner):
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000112, 0.0000195, step=0.0000001),
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000160, 0.0000195, step=0.0000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")

From 3c301cb39d620c7a5373915b4f5c6e472f1c95bc Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 20 Jul 2026 17:36:21 +0200
Subject: [PATCH 19/54] new parameter for basal death rate in 2800 cells

---
 abm_calibration/optimize.py                    |   6 +++---
 draft/analysis_radius_atribute.py              |   4 ++--
 draft/generatecsv.py                           |   2 +-
 ...lls_type5_dead_radius_vs_radius2800_24h.png | Bin 105413 -> 0 bytes
 ...ead_radius_vs_radius2800_71h_normalized.png | Bin 0 -> 76617 bytes
 ..._dead_radius_vs_radius2800_72h_absolute.png | Bin 0 -> 62001 bytes
 params.json                                    |   2 +-
 7 files changed, 7 insertions(+), 7 deletions(-)
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_71h_normalized.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_72h_absolute.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 8e868a5..d218622 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,7 +29,7 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 7
+EXPERIMENT_ID = 8
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 5000
@@ -154,7 +154,7 @@ def compute_error():
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
     value_dead_cells = row["tumor_cells_type5_dead"]
-    target_value_dead_cells = 310
+    target_value_dead_cells = 208
 
     # Compute the mean squared error (MSE) between the number of dead tumor cells in the target and simulation data
     mse = (value_dead_cells - target_value_dead_cells) ** 2
@@ -283,7 +283,7 @@ def compute_error2(target_inner):
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000160, 0.0000195, step=0.0000001),
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000130, 0.0000190, step=0.0000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 5b9c26f..29dde1f 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -9,14 +9,14 @@
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
 # MINUTE = 4320 # change this to the minute you want to plot
-MINUTE = 1440 # change this to the minute you want to plot
+MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
 ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index b72ad3a..1660d25 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -7,7 +7,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 7
+EXPERIMENT_ID = 8
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png b/draft/tumor_cells_type5_dead_radius_vs_radius2800_24h.png
deleted file mode 100644
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literal 0
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index d38d7f7..7021730 100644
--- a/params.json
+++ b/params.json
@@ -32,5 +32,5 @@
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000185
+  "basal_necrosis_probability_cancer_cells": 0.000012
 }
\ No newline at end of file

From c9f0145084e219dce9fd29432ee851b573ce477c Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 22 Jul 2026 12:41:05 +0200
Subject: [PATCH 20/54] new aging factor for modelling cells natural death and
 trial to fit both the basal necrosis probability and the factor

---
 abm_calibration/optimize.py                   | 198 ++++++++++--------
 draft/analysis_radius_atribute.py             |  14 +-
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 0 -> 53601 bytes
 draft/generatecsv.py                          |   2 +-
 params.json                                   |  13 +-
 src/agents/tumor_cell.cc                      |  13 +-
 src/agents/tumor_cell.h                       |   8 +
 src/params/hyperparams.cc                     |   5 +
 src/params/hyperparams.h                      |   7 +
 9 files changed, 156 insertions(+), 104 deletions(-)
 create mode 100644 draft/average_oxygen_all_cells_radius_vs_radius.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index d218622..0b1a9e7 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,10 +29,10 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 8
+EXPERIMENT_ID = 10
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 5000
+NUMBER_OF_TRIALS = 500000000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -55,6 +55,13 @@
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
+    # basal_necrosis_probability_cancer_cells = params[
+    #     "basal_necrosis_probability_cancer_cells"
+    # ]
+
+    aging_factor_cancer_cells = params[
+        "aging_factor_cancer_cells"
+    ]
     basal_necrosis_probability_cancer_cells = params[
         "basal_necrosis_probability_cancer_cells"
     ]
@@ -72,12 +79,12 @@ def run_ABM(params, seed):
         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
         "num_radius_intervals": 20,
         "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": 2800,
+        "initial_number_of_cylindrical_tumor_cells": 5600,
         "oncoprotein_mean": 1.0,
         "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -300.0,
-        "lateral_oxygen_production_max_z": 300.0,
-        "diffuse_on_z_axis": False,
+        "lateral_oxygen_production_min_z": -6600.0,
+        "lateral_oxygen_production_max_z": 6600.0,
+        "diffuse_on_z_axis": True,
         "initial_oxygen_level": 0.0,
         "oxygen_reference_level": 165.0,
         "default_oxygen_consumption_tumor_cell": 45.6,
@@ -87,14 +94,15 @@ def run_ABM(params, seed):
         "treatment": {
             "0": 0
         },
-        "average_time_transformation_random_rate": 42.0,
-        "standard_deviation_transformation_random_rate": 8.0,
+        "average_time_transformation_random_rate": 72.0,
+        "standard_deviation_transformation_random_rate": 15.0,
         "oxygen_saturation_for_proliferation": 0.0,
         "oxygen_limit_for_proliferation": 0.0,
         "oxygen_limit_for_necrosis_maximum": 0.0,
         "oxygen_limit_for_necrosis": 0.0,
         "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells
+        "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells,
+        "aging_factor_cancer_cells": aging_factor_cancer_cells
         }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -148,18 +156,29 @@ def compute_error():
         return float("inf")
 
     df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "tumor_cells_type5_dead"]
+        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead"]
     )
+   #take at the minute 1440 
+    row = df_s[df_s["total_minutes"] == 1440].iloc[0]
+    tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
+    target_tumor_cells_type5_dead_1440 = 30
+
+   # take at the minute 2880
+    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
+    tumor_cells_type5_dead_2880 = row["tumor_cells_type5_dead"]
+    target_tumor_cells_type5_dead_2880 = 70
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    value_dead_cells = row["tumor_cells_type5_dead"]
-    target_value_dead_cells = 208
+    tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
+    target_tumor_cells_type5_dead_4320 = 413
+    # total_tumor_cells_4320 = row["num_tumor_cells"]
+    # target_total_tumor_cells_4320 = 4130
 
-    # Compute the mean squared error (MSE) between the number of dead tumor cells in the target and simulation data
-    mse = (value_dead_cells - target_value_dead_cells) ** 2
+    # Compute absolute errors
+    error_total_tumor_cells = 10*abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + 8*abs(tumor_cells_type5_dead_1440 - target_tumor_cells_type5_dead_1440) + abs(tumor_cells_type5_dead_2880 - target_tumor_cells_type5_dead_2880)
 
-    return float(mse)
+    return float(error_total_tumor_cells)
 
 
     # dafault 
@@ -198,92 +217,93 @@ def compute_error():
     # ).mean()
     # return float(mse)
 
-# Function to run the ABM with the given parameters
-def run_ABM2(params, seed, num_cells):
-    # Change this: parameter to be optimized in the ABM simulation
-    oxygen_reference_level = params[
-        "oxygen_reference_level"
-    ]
-    default_oxygen_consumption_tumor_cell = params[
-        "default_oxygen_consumption_tumor_cell"
-    ]
-
-    # Change this configuration for the ABM run
-    config = {
-        "seed": seed,
-        "output_performance_statistics": False,
-        "total_minutes_to_simulate": 4320,
-        "output_csv_interval": 600,
-        "bounded_space_length": 6500.0,
-        "tumor_shape": "cylinder",
-        "output_information_dependent_on_radius": True,
-        "cylindrical_tumor_radius": 3000.0,
-        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-        "num_radius_intervals": 20,
-        "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": num_cells,
-        "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -6600.0,
-        "lateral_oxygen_production_max_z": 6600.0,
-        "diffuse_on_z_axis": True,
-        "initial_oxygen_level": 0.0,
-        "oxygen_reference_level": oxygen_reference_level,
-        "diffusion_coefficient_oxygen": 180000.0,
-        "decay_constant_oxygen": 0.01,
-        "treatment": {
-            "0": 0
-        },
-        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
-        "oxygen_limit_for_necrosis_maximum": 0.0,
-        "oxygen_limit_for_necrosis": 0.0
-        }
-
-    # Save the config parameters for the run to the params.json file
-    with open(PARAMS_PATH, "w") as f:
-        json.dump(config, f, indent=2)
-
-    # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
-    subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
-
-def compute_error2(target_inner):
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+# # Function to run the ABM with the given parameters
+# def run_ABM2(params, seed, num_cells):
+#     # Change this: parameter to be optimized in the ABM simulation
+#     oxygen_reference_level = params[
+#         "oxygen_reference_level"
+#     ]
+#     default_oxygen_consumption_tumor_cell = params[
+#         "default_oxygen_consumption_tumor_cell"
+#     ]
+
+#     # Change this configuration for the ABM run
+#     config = {
+#         "seed": seed,
+#         "output_performance_statistics": False,
+#         "total_minutes_to_simulate": 4320,
+#         "output_csv_interval": 600,
+#         "bounded_space_length": 6500.0,
+#         "tumor_shape": "cylinder",
+#         "output_information_dependent_on_radius": True,
+#         "cylindrical_tumor_radius": 3000.0,
+#         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+#         "num_radius_intervals": 20,
+#         "cylindrical_tumor_height": 100.0,
+#         "initial_number_of_cylindrical_tumor_cells": num_cells,
+#         "oncoprotein_standard_deviation": 0.0,
+#         "lateral_oxygen_production_min_z": -6600.0,
+#         "lateral_oxygen_production_max_z": 6600.0,
+#         "diffuse_on_z_axis": True,
+#         "initial_oxygen_level": 0.0,
+#         "oxygen_reference_level": oxygen_reference_level,
+#         "diffusion_coefficient_oxygen": 180000.0,
+#         "decay_constant_oxygen": 0.01,
+#         "treatment": {
+#             "0": 0
+#         },
+#         "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+#         "oxygen_limit_for_necrosis_maximum": 0.0,
+#         "oxygen_limit_for_necrosis": 0.0
+#         }
+
+#     # Save the config parameters for the run to the params.json file
+#     with open(PARAMS_PATH, "w") as f:
+#         json.dump(config, f, indent=2)
+
+#     # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
+#     subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
+
+# def compute_error2(target_inner):
+#     sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
 
-    if not sim_dir.exists():
-        logging.error("Missing simulation CSV: %s", sim_dir)
-        return float("inf")
+#     if not sim_dir.exists():
+#         logging.error("Missing simulation CSV: %s", sim_dir)
+#         return float("inf")
 
-    df_s = pd.read_csv(
-        sim_dir,
-        usecols=[
-            "total_minutes",
-            "average_oxygen_all_cells_radius_2850_to_3000",
-            "average_oxygen_all_cells_radius_0_to_150",
-        ],
-    )
+#     df_s = pd.read_csv(
+#         sim_dir,
+#         usecols=[
+#             "total_minutes",
+#             "average_oxygen_all_cells_radius_2850_to_3000",
+#             "average_oxygen_all_cells_radius_0_to_150",
+#         ],
+#     )
 
-    # See the value at the minute 30 for the average oxygen level in the simulation data
-    row = df_s[df_s["total_minutes"] == 30].iloc[0]
-    value_center = row["average_oxygen_all_cells_radius_0_to_150"]
-    value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    target_value_center = target_inner
+#     # See the value at the minute 30 for the average oxygen level in the simulation data
+#     row = df_s[df_s["total_minutes"] == 30].iloc[0]
+#     value_center = row["average_oxygen_all_cells_radius_0_to_150"]
+#     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
+#     target_value_center = target_inner
 
-   # Debug print de los 4 valores 
-    print(f"Value center: {value_center_in_mol_m3}")
-    print(f"Target value center: {target_value_center}")
+#    # Debug print de los 4 valores 
+#     print(f"Value center: {value_center_in_mol_m3}")
+#     print(f"Target value center: {target_value_center}")
 
-    mse=0.
-   # MSE
-    if value_center_in_mol_m3 < target_value_center:
-        mse = (value_center_in_mol_m3 - target_value_center) ** 2
+#     mse=0.
+#    # MSE
+#     if value_center_in_mol_m3 < target_value_center:
+#         mse = (value_center_in_mol_m3 - target_value_center) ** 2
     
     
-    return float(mse)
+#     return float(mse)
 
 # Objective function for the Optuna optimization process
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000130, 0.0000190, step=0.0000001),
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000001, 0.0000100, step=0.0000001),
+        "aging_factor_cancer_cells": trial.suggest_float("aging_factor_cancer_cells", 1.0000001, 1.0007, step=0.0000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 29dde1f..5cb84d2 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -8,15 +8,17 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
+MINUTE = 2520 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
-MINUTE = 4320 # change this to the minute you want to plot
-# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
-# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+# ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+# APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
diff --git a/draft/average_oxygen_all_cells_radius_vs_radius.png b/draft/average_oxygen_all_cells_radius_vs_radius.png
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diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 1660d25..f2f277a 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -7,7 +7,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 8
+EXPERIMENT_ID = 9
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/params.json b/params.json
index 7021730..acde8f9 100644
--- a/params.json
+++ b/params.json
@@ -13,9 +13,9 @@
   "initial_number_of_cylindrical_tumor_cells": 2800,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
+  "lateral_oxygen_production_min_z": -6600.0,
+  "lateral_oxygen_production_max_z": 6600.0,
+  "diffuse_on_z_axis": true,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 45.6,
@@ -25,12 +25,13 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 42.0,
-  "standard_deviation_transformation_random_rate": 8.0,
+  "average_time_transformation_random_rate": 72.0,
+  "standard_deviation_transformation_random_rate": 15.0,
   "oxygen_saturation_for_proliferation": 0.0,
   "oxygen_limit_for_proliferation": 0.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.000012
+  "basal_necrosis_probability_cancer_cells": 0.0000137,
+  "aging_factor_cancer_cells": 1.0
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 7612a60..53ca953 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -79,6 +79,8 @@ TumorCell::TumorCell(const Real3& position) {
       rm->GetDiffusionGrid("immunostimulatory_factor");
   // Set state transition random rate
   SetTransformationRandomRate();
+  // Set basal death probability
+  SetBasalDeathProbability(sparams->basal_necrosis_probability_cancer_cells);
 
   // Add Consumption and Secretion
   // Set default oxygen consumption rate
@@ -140,6 +142,8 @@ void TumorCell::Initialize(const NewAgentEvent& event) {
 
       // Set state transition random rate
       this->SetTransformationRandomRate();
+      // Set basal death probability
+      this->SetBasalDeathProbability(mother->GetBasalDeathProbability());
       // Initially not attached to a cart
       this->attached_to_cart_ = false;
     }
@@ -579,9 +583,14 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
   // Calculate the probability of necrosis based on oxygen level
   // and multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle
   // minutes
+  const real_t current_basal_death_probability = cell->GetBasalDeathProbability();
+  const real_t maximum_necrosis_rate_multiplier = sparams->maximum_necrosis_rate * multiplier;
   const real_t probability_necrosis =
-      sparams->dt_cycle * ( sparams->maximum_necrosis_rate * multiplier +
-                           sparams->basal_necrosis_probability_cancer_cells );
+      sparams->dt_cycle * ( maximum_necrosis_rate_multiplier + current_basal_death_probability
+                          - maximum_necrosis_rate_multiplier * current_basal_death_probability);
+
+  //increase basal death with aging
+  cell->SetBasalDeathProbability(current_basal_death_probability + sparams->scaled_aging_factor_cancer_cells);
 
   Random* random = sim->GetRandom();
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 86113cc..db8dff9 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -149,6 +149,11 @@ class TumorCell : public Cell, public ISubstanceInteractor {
     return transformation_random_rate_;
   }
 
+  void SetBasalDeathProbability(real_t basal_death_probability) {
+    basal_death_probability_ = basal_death_probability;
+  }
+  real_t GetBasalDeathProbability() const { return basal_death_probability_; }
+
   void SetAttachedToCart(bool attached) { attached_to_cart_ = attached; }
   bool IsAttachedToCart() const { return attached_to_cart_; }
 
@@ -255,6 +260,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// cell. This rate is kept constant during the cell's lifetime.
   real_t transformation_random_rate_ = 0.0;
 
+  /// Current probability of death due to natural causes
+  real_t basal_death_probability_ = 0.0;
+
   /// Flag indicating if the cell is attached to a CAR-T cell
   bool attached_to_cart_ = false;
 
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 8c3f09c..cb9b7be 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -209,6 +209,7 @@ void SimParam::LoadParams(const std::string& filename) {
               oxygen_limit_for_necrosis_maximum);
   load_double("basal_necrosis_probability_cancer_cells",
               basal_necrosis_probability_cancer_cells);
+  load_double("aging_factor_cancer_cells", aging_factor_cancer_cells);
   load_double("time_lysis", time_lysis);
   load_double("maximum_necrosis_rate", maximum_necrosis_rate);
 
@@ -287,6 +288,8 @@ void SimParam::LoadParams(const std::string& filename) {
   // Calculate steps per day. This is always calculated here
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   steps_in_one_day = static_cast<size_t>(24 * 60 / dt_step);
+  // Calculate the scaled aging factor for cancer cells considering the cycle time step
+  scaled_aging_factor_cancer_cells = std::pow(aging_factor_cancer_cells, dt_cycle);
   // Calculate the volume of a single mechanical voxel in μm³
   voxel_volume =
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
@@ -500,6 +503,8 @@ void SimParam::PrintParams() const {
             << oxygen_limit_for_necrosis_maximum << "\n";
   std::cout << "Basal necrosis probability for tumor cells: "
             << basal_necrosis_probability_cancer_cells << "\n";
+  std::cout << "Aging factor for cancer cells: "
+            << aging_factor_cancer_cells << "\n";
   std::cout << "Time in minutes until a lysed necrotic cell is removed: "
             << time_lysis << "\n";
   std::cout << "Maximum rate per minute of necrosis for tumor cells: "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 7aa81b6..9a7d9a0 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -275,6 +275,9 @@ struct SimParam : public ParamGroup {
   /// Basal necrosis probability for cancer cells per minute: death due to natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t basal_necrosis_probability_cancer_cells = 0.0;
+  /// Aging factor (>= 1.0) that multiplies the basal necrosis probability for cancer cells per minute: death due to natural random causes
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t aging_factor_cancer_cells = 1.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_lysis = 86400;
@@ -411,6 +414,10 @@ struct SimParam : public ParamGroup {
   /// Steps in one day
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   size_t steps_in_one_day = 14400;
+
+  /// Scaled aging factor for cencer cells considering the time step
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t scaled_aging_factor_cancer_cells = 1.0;
   
   /// Volume of a single voxel in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)

From 8c5e88f10c913e6fd38ba203c787d89c3cff9a21 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 24 Jul 2026 10:43:39 +0200
Subject: [PATCH 21/54] fit of basal necrosis rate and aging facotr 28000 cells
 no cup

---
 abm_calibration/optimize.py                   |  27 +++++++++---------
 bdm.toml                                      |   2 +-
 draft/analysis_radius_atribute.py             |  16 +++++++----
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 53601 -> 0 bytes
 ...adius_vs_radius28000_cells_no_cup_last.png | Bin 0 -> 54066 bytes
 draft/generatecsv.py                          |   2 +-
 ..._dead_radius_vs_radius24h_28000_no_cup.png | Bin 0 -> 47230 bytes
 ...ead_radius_vs_radius28000_72h_absolute.png | Bin 0 -> 60351 bytes
 ...ad_radius_vs_radius2800_71h_normalized.png | Bin 76617 -> 0 bytes
 ...dead_radius_vs_radius2800_72h_absolute.png | Bin 62001 -> 0 bytes
 ...ad_radius_vs_radius_72h_no_cuprelative.png | Bin 0 -> 67087 bytes
 params.json                                   |   8 +++---
 src/agents/tumor_cell.cc                      |   2 +-
 13 files changed, 31 insertions(+), 26 deletions(-)
 delete mode 100644 draft/average_oxygen_all_cells_radius_vs_radius.png
 create mode 100644 draft/average_oxygen_all_cells_radius_vs_radius28000_cells_no_cup_last.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius24h_28000_no_cup.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius28000_72h_absolute.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_71h_normalized.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius2800_72h_absolute.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius_72h_no_cuprelative.png

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 0b1a9e7..52e492c 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,10 +29,10 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 10
+EXPERIMENT_ID = 12
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 500000000
+NUMBER_OF_TRIALS = 0
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -79,7 +79,7 @@ def run_ABM(params, seed):
         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
         "num_radius_intervals": 20,
         "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": 5600,
+        "initial_number_of_cylindrical_tumor_cells": 28000,
         "oncoprotein_mean": 1.0,
         "oncoprotein_standard_deviation": 0.0,
         "lateral_oxygen_production_min_z": -6600.0,
@@ -102,7 +102,8 @@ def run_ABM(params, seed):
         "oxygen_limit_for_necrosis": 0.0,
         "reduction_consumption_dead_cells": 0.0,
         "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells,
-        "aging_factor_cancer_cells": aging_factor_cancer_cells
+        "aging_factor_cancer_cells": aging_factor_cancer_cells,
+        "dt_substances" : 4320
         }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -161,22 +162,22 @@ def compute_error():
    #take at the minute 1440 
     row = df_s[df_s["total_minutes"] == 1440].iloc[0]
     tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_1440 = 30
+    target_tumor_cells_type5_dead_1440 = 200
 
    # take at the minute 2880
-    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
-    tumor_cells_type5_dead_2880 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_2880 = 70
+    # row = df_s[df_s["total_minutes"] == 2880].iloc[0]
+    # tumor_cells_type5_dead_2880 = row["tumor_cells_type5_dead"]
+    # target_tumor_cells_type5_dead_2880 = 350
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
     tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_4320 = 413
+    target_tumor_cells_type5_dead_4320 = 2066
     # total_tumor_cells_4320 = row["num_tumor_cells"]
     # target_total_tumor_cells_4320 = 4130
 
     # Compute absolute errors
-    error_total_tumor_cells = 10*abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + 8*abs(tumor_cells_type5_dead_1440 - target_tumor_cells_type5_dead_1440) + abs(tumor_cells_type5_dead_2880 - target_tumor_cells_type5_dead_2880)
+    error_total_tumor_cells = abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + abs(tumor_cells_type5_dead_1440 - target_tumor_cells_type5_dead_1440)
 
     return float(error_total_tumor_cells)
 
@@ -302,8 +303,8 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000001, 0.0000100, step=0.0000001),
-        "aging_factor_cancer_cells": trial.suggest_float("aging_factor_cancer_cells", 1.0000001, 1.0007, step=0.0000001),
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000026, 0.0000038, step=0.0000001),
+        "aging_factor_cancer_cells": trial.suggest_float("aging_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -321,7 +322,7 @@ def objective(trial):
         # error = compute_error(target_inner=0.009, target_outer=0.16)
         # total_error += error
         # print(f"Error for seed {seed}: {error}")
-        print(f"Running ABM with seed {seed} and num_cells=2800 with cup")
+        print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
         run_ABM(params, int(seed))
         error = compute_error()
         total_error += error
diff --git a/bdm.toml b/bdm.toml
index 7ef42e7..e2633f0 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = true
+export = false
 interval = 7200
 
 [[visualize_agent]]
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 5cb84d2..16fe41b 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -8,17 +8,18 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 2520 # change this to the minute you want to plot
+MINUTE = 1440 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
-ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-# ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
-DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 # APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
-
+Y_MIN = 0
+Y_MAX = 200
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
@@ -63,6 +64,9 @@
 plt.ylabel(ylabel)
 plt.title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
 plt.grid(True, alpha=0.3)
+if Y_MIN is not None or Y_MAX is not None:
+    plt.ylim(bottom=Y_MIN, top=Y_MAX)
+
 plt.tight_layout()
 plt.savefig("./draft/" + ATTRIBUTE + "_vs_radius.png", dpi=150)
 print("Saved plot to " + ATTRIBUTE + "_vs_radius.png")
\ No newline at end of file
diff --git a/draft/average_oxygen_all_cells_radius_vs_radius.png b/draft/average_oxygen_all_cells_radius_vs_radius.png
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diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index f2f277a..1dd86e1 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -7,7 +7,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 9
+EXPERIMENT_ID = 12
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius24h_28000_no_cup.png b/draft/tumor_cells_type5_dead_radius_vs_radius24h_28000_no_cup.png
new file mode 100644
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diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius2800_71h_normalized.png b/draft/tumor_cells_type5_dead_radius_vs_radius2800_71h_normalized.png
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zc=FucvLB)1zg1gX+js<5*!&X$47IxkQ9Nj0^im91I$3}y7NHzJ)=IMK(7=9H+Urx_
u#DH3T89(%m-)58IzYz2P`75){dp|sPKAiaxK+?*}bN-j}azFoi*S`U^+uNJ~

literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index acde8f9..12305b1 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 42,
+  "seed": 422,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -10,7 +10,7 @@
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -6600.0,
@@ -32,6 +32,6 @@
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000137,
-  "aging_factor_cancer_cells": 1.0
+  "basal_necrosis_probability_cancer_cells": 0.0000031,
+  "aging_factor_cancer_cells": 1.000602
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 53ca953..69b542a 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -590,7 +590,7 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
                           - maximum_necrosis_rate_multiplier * current_basal_death_probability);
 
   //increase basal death with aging
-  cell->SetBasalDeathProbability(current_basal_death_probability + sparams->scaled_aging_factor_cancer_cells);
+  cell->SetBasalDeathProbability(current_basal_death_probability * sparams->scaled_aging_factor_cancer_cells);
 
   Random* random = sim->GetRandom();
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;

From 458016d990832e1cf0b0aa1f3388a791b8a43741 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 27 Jul 2026 10:49:09 +0200
Subject: [PATCH 22/54] new files for experimentation with different seeds.
 model fit with no cup both with and without aging factor. fitting
 oxygen_saturation_for_proliferation

---
 .gitignore                                    |   2 +-
 .../experiment_16/optuna_results.csv          |  17 +++
 abm_calibration/optimize.py                   |  53 ++++---
 draft/analysis_radius_atribute.py             |  30 +++-
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 0 -> 51184 bytes
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 0 -> 57573 bytes
 draft/config_with_aging_factor.json           |  37 +++++
 draft/config_without_aging_factor.json        |  38 +++++
 draft/experimentation.py                      | 144 ++++++++++++++++++
 draft/generatecsv.py                          |  23 ++-
 params.json                                   |  16 +-
 src/agents/tumor_cell.cc                      |   4 +-
 src/params/hyperparams.cc                     |  10 +-
 src/params/hyperparams.h                      |   8 +-
 14 files changed, 332 insertions(+), 50 deletions(-)
 create mode 100644 abm_calibration/experiment_16/optuna_results.csv
 create mode 100644 draft/average_oxygen_all_cells_radius_vs_radius.png
 create mode 100644 draft/average_oxygen_cancer_cells_radius_vs_radius.png
 create mode 100644 draft/config_with_aging_factor.json
 create mode 100644 draft/config_without_aging_factor.json
 create mode 100644 draft/experimentation.py

diff --git a/.gitignore b/.gitignore
index d5b1d28..a743d16 100644
--- a/.gitignore
+++ b/.gitignore
@@ -114,7 +114,7 @@ doc/latex
 
 
 #Debugging and result files
-*.csv
+#*.csv
 *.xyz
 *.dat
 
diff --git a/abm_calibration/experiment_16/optuna_results.csv b/abm_calibration/experiment_16/optuna_results.csv
new file mode 100644
index 0000000..c838601
--- /dev/null
+++ b/abm_calibration/experiment_16/optuna_results.csv
@@ -0,0 +1,17 @@
+number,value,datetime_start,datetime_complete,duration,params_oxygen_saturation_for_proliferation,state
+0,1495.0,2026-07-26 18:37:04.121918,2026-07-26 19:40:28.029122,0 days 01:03:23.907204,20.5,COMPLETE
+1,4542.0,2026-07-26 19:40:28.056530,2026-07-26 20:43:23.528168,0 days 01:02:55.471638,42.2,COMPLETE
+2,3553.0,2026-07-26 20:43:23.552241,2026-07-26 21:46:36.743744,0 days 01:03:13.191503,34.0,COMPLETE
+3,2824.0,2026-07-26 21:46:36.768563,2026-07-26 22:50:17.554188,0 days 01:03:40.785625,29.0,COMPLETE
+4,447.0,2026-07-26 22:50:17.583902,2026-07-26 23:54:56.365641,0 days 01:04:38.781739,12.3,COMPLETE
+5,518.0,2026-07-26 23:54:56.396349,2026-07-27 01:00:16.011635,0 days 01:05:19.615286,12.3,COMPLETE
+6,1625.0,2026-07-27 01:00:16.035878,2026-07-27 02:05:33.139239,0 days 01:05:17.103361,8.6,COMPLETE
+7,4087.0,2026-07-27 02:05:33.162908,2026-07-27 03:08:15.033130,0 days 01:02:41.870222,39.0,COMPLETE
+8,2851.0,2026-07-27 03:08:15.057041,2026-07-27 04:12:20.596805,0 days 01:04:05.539764,29.1,COMPLETE
+9,3525.0,2026-07-27 04:12:20.621757,2026-07-27 05:15:49.849907,0 days 01:03:29.228150,33.1,COMPLETE
+10,1118.0,2026-07-27 05:15:49.873505,2026-07-27 06:19:55.920095,0 days 01:04:06.046590,18.200000000000003,COMPLETE
+11,2293.0,2026-07-27 06:19:55.945436,2026-07-27 07:25:59.173345,0 days 01:06:03.227909,6.6,COMPLETE
+12,28.0,2026-07-27 07:25:59.198817,2026-07-27 08:30:24.331169,0 days 01:04:25.132352,14.2,COMPLETE
+13,709.0,2026-07-27 08:30:24.355557,2026-07-27 09:34:49.026547,0 days 01:04:24.670990,17.200000000000003,COMPLETE
+14,240.0,2026-07-27 09:34:49.049783,2026-07-27 10:39:22.462949,0 days 01:04:33.413166,12.5,COMPLETE
+15,,2026-07-27 10:39:22.487273,,,22.6,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 52e492c..7a059a5 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,10 +29,10 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 12
+EXPERIMENT_ID = 16
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 0
+NUMBER_OF_TRIALS = 1000000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -59,11 +59,14 @@ def run_ABM(params, seed):
     #     "basal_necrosis_probability_cancer_cells"
     # ]
 
-    aging_factor_cancer_cells = params[
-        "aging_factor_cancer_cells"
-    ]
-    basal_necrosis_probability_cancer_cells = params[
-        "basal_necrosis_probability_cancer_cells"
+    # nutrient_starvation_factor_cancer_cells = params[
+    #     "nutrient_starvation_factor_cancer_cells"
+    # # ]
+    # oxygen_limit_for_proliferation = params[
+    #     "oxygen_limit_for_proliferation"
+    # ]
+    oxygen_saturation_for_proliferation = params[
+        "oxygen_saturation_for_proliferation"
     ]
 
     # Change this configuration for the ABM run
@@ -82,9 +85,9 @@ def run_ABM(params, seed):
         "initial_number_of_cylindrical_tumor_cells": 28000,
         "oncoprotein_mean": 1.0,
         "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -6600.0,
-        "lateral_oxygen_production_max_z": 6600.0,
-        "diffuse_on_z_axis": True,
+        "lateral_oxygen_production_min_z": -300.0,
+        "lateral_oxygen_production_max_z": 300.0,
+        "diffuse_on_z_axis": False,
         "initial_oxygen_level": 0.0,
         "oxygen_reference_level": 165.0,
         "default_oxygen_consumption_tumor_cell": 45.6,
@@ -94,16 +97,15 @@ def run_ABM(params, seed):
         "treatment": {
             "0": 0
         },
-        "average_time_transformation_random_rate": 72.0,
+        "average_time_transformation_random_rate": 72.,
         "standard_deviation_transformation_random_rate": 15.0,
-        "oxygen_saturation_for_proliferation": 0.0,
-        "oxygen_limit_for_proliferation": 0.0,
+        "oxygen_saturation_for_proliferation": oxygen_saturation_for_proliferation,
+        "oxygen_limit_for_proliferation": 5.9,
         "oxygen_limit_for_necrosis_maximum": 0.0,
         "oxygen_limit_for_necrosis": 0.0,
         "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells,
-        "aging_factor_cancer_cells": aging_factor_cancer_cells,
-        "dt_substances" : 4320
+        "basal_necrosis_probability_cancer_cells": 0.0000031,
+        "nutrient_starvation_factor_cancer_cells": 1.000602
         }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -160,9 +162,9 @@ def compute_error():
         sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead"]
     )
    #take at the minute 1440 
-    row = df_s[df_s["total_minutes"] == 1440].iloc[0]
-    tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_1440 = 200
+    # row = df_s[df_s["total_minutes"] == 1440].iloc[0]
+    # tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
+    # target_tumor_cells_type5_dead_1440 = 200
 
    # take at the minute 2880
     # row = df_s[df_s["total_minutes"] == 2880].iloc[0]
@@ -171,13 +173,13 @@ def compute_error():
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
+    # tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
     target_tumor_cells_type5_dead_4320 = 2066
-    # total_tumor_cells_4320 = row["num_tumor_cells"]
-    # target_total_tumor_cells_4320 = 4130
+    total_tumor_cells_4320 = row["num_tumor_cells"]
+    target_total_tumor_cells_4320 = 38266
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + abs(tumor_cells_type5_dead_1440 - target_tumor_cells_type5_dead_1440)
+    error_total_tumor_cells = abs(total_tumor_cells_4320 - target_total_tumor_cells_4320)
 
     return float(error_total_tumor_cells)
 
@@ -303,8 +305,9 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000026, 0.0000038, step=0.0000001),
-        "aging_factor_cancer_cells": trial.suggest_float("aging_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
+        # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
+        "oxygen_saturation_for_proliferation": trial.suggest_float("oxygen_saturation_for_proliferation", 6.5, 44, step=0.1),
+        # "nutrient_starvation_factor_cancer_cells": trial.suggest_float("nutrient_starvation_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 16fe41b..1cab825 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -1,3 +1,25 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file contains the Bayesian optimization workflow used to calibrate
+the model parameters, developed under Google Summer of Code (GSoC)
+for the compiler-research.org organization.
+"""
+
+
 import re
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -8,10 +30,10 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 1440 # change this to the minute you want to plot
+MINUTE = 4320 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
-# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+# ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
@@ -19,7 +41,7 @@
 APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 # APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
-Y_MAX = 200
+Y_MAX = None
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
diff --git a/draft/average_oxygen_all_cells_radius_vs_radius.png b/draft/average_oxygen_all_cells_radius_vs_radius.png
new file mode 100644
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vjU<M?nwQCZGjN^p?i+a;Kl}gtyGiweoylTSX>X>bqO^AE?#S4F=<I(2VT)@V

literal 0
HcmV?d00001

diff --git a/draft/config_with_aging_factor.json b/draft/config_with_aging_factor.json
new file mode 100644
index 0000000..7225293
--- /dev/null
+++ b/draft/config_with_aging_factor.json
@@ -0,0 +1,37 @@
+{
+  "seed": 42,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 20,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -6600.0,
+  "lateral_oxygen_production_max_z": 6600.0,
+  "diffuse_on_z_axis": true,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 45.6,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 72.0,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "oxygen_saturation_for_proliferation": 0.0,
+  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0000031,
+  "nutrient_starvation_factor_cancer_cells": 1.000602
+}
\ No newline at end of file
diff --git a/draft/config_without_aging_factor.json b/draft/config_without_aging_factor.json
new file mode 100644
index 0000000..d3b1dd2
--- /dev/null
+++ b/draft/config_without_aging_factor.json
@@ -0,0 +1,38 @@
+{
+  "seed": 422,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "num_radius_intervals": 20,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "lateral_oxygen_production_min_z": -6600.0,
+  "lateral_oxygen_production_max_z": 6600.0,
+  "diffuse_on_z_axis": true,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 45.6,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 72.0,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "oxygen_saturation_for_proliferation": 0.0,
+  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0000165,
+  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "dt_substances": 4320
+}
\ No newline at end of file
diff --git a/draft/experimentation.py b/draft/experimentation.py
new file mode 100644
index 0000000..20f196c
--- /dev/null
+++ b/draft/experimentation.py
@@ -0,0 +1,144 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file contains the Bayesian optimization workflow used to calibrate
+the model parameters, developed under Google Summer of Code (GSoC)
+for the compiler-research.org organization.
+"""
+
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+# --- Adjust these paths/values to your environment ---
+# Directory for the visualization configuration file bdm.toml
+BDM_TOML_PATH = Path("./bdm.toml")
+BASE_DIR = Path(__file__).resolve().parent.parent
+# Directory for the parameters file params.json
+PARAMS_PATH = BASE_DIR / "params.json"
+
+BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
+NUMBER_EXECUTIONS = 10
+
+SIM_DIR = BASE_DIR / "output"        # folder where the ABM writes its results
+DRAFT_DIR = BASE_DIR / "draft"       # base destination folder
+
+
+def run_ABM(seed):
+
+    config = {
+        "seed": seed,
+        "output_performance_statistics": False,
+        "total_minutes_to_simulate": 4320,
+        "output_csv_interval": 600,
+        "bounded_space_length": 6500.0,
+        "tumor_shape": "cylinder",
+        "output_information_dependent_on_radius": True,
+        "cylindrical_tumor_radius": 3000.0,
+        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+        "num_radius_intervals": 20,
+        "cylindrical_tumor_height": 100.0,
+        "initial_number_of_cylindrical_tumor_cells": 28000,
+        "oncoprotein_mean": 1.0,
+        "oncoprotein_standard_deviation": 0.0,
+        "lateral_oxygen_production_min_z": -6600.0,
+        "lateral_oxygen_production_max_z": 6600.0,
+        "diffuse_on_z_axis": True,
+        "initial_oxygen_level": 0.0,
+        "oxygen_reference_level": 165.0,
+        "default_oxygen_consumption_tumor_cell": 45.6,
+        "diffusion_coefficient_oxygen": 180000.0,
+        "decay_constant_oxygen": 0.01,
+        "time_apoptosis": 6000.0,
+        "treatment": {"0": 0},
+        "average_time_transformation_random_rate": 72,
+        "standard_deviation_transformation_random_rate": 15.0,
+        "oxygen_saturation_for_proliferation": 0.0,
+        "oxygen_limit_for_proliferation": 0.0,
+        "oxygen_limit_for_necrosis_maximum": 0.0,
+        "oxygen_limit_for_necrosis": 0.0,
+        "reduction_consumption_dead_cells": 0.0,
+        "basal_necrosis_probability_cancer_cells": 0.0000031,
+        "nutrient_starvation_factor_cancer_cells": 1.000602,
+        "dt_substances": 4320
+    }
+
+    # Save the config parameters for this run to the params.json file
+    with open(PARAMS_PATH, "w") as f:
+        json.dump(config, f, indent=2)
+
+    # Load the BioDynaMo environment and run the ABM simulation using the BioDynaMo executable
+    subprocess.run(
+        ["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True
+    )
+
+
+def copy_output_to_draft(seed):
+    """Copy the contents of SIM_DIR to draft/execution_seed_{seed}."""
+    dest_dir = DRAFT_DIR / f"execution_seed_{seed}"
+
+    if not SIM_DIR.exists():
+        raise FileNotFoundError(f"Results folder not found: {SIM_DIR}")
+
+    if dest_dir.exists():
+        shutil.rmtree(dest_dir)  # avoid mixing results from previous runs
+
+    shutil.copytree(SIM_DIR, dest_dir)
+    print(f"[seed={seed}] Results copied to: {dest_dir}")
+
+
+def run_multiple_seeds(N):
+    """Run the ABM with seeds 0..N-1 and save each result separately."""
+    DRAFT_DIR.mkdir(parents=True, exist_ok=True)
+
+    # for seed in range(N):
+    for seed in[4,5,6,7,8,9]:
+        print(f"--- Running ABM with seed={seed} ---")
+        run_ABM(seed)
+        copy_output_to_draft(seed)
+
+    print(f"Done: {N} runs completed (seeds 0 to {N - 1}).")
+
+# Function to set the export value in the bdm.toml file
+def set_export_value(path: Path, value: bool):
+    lines = path.read_text().splitlines()
+
+    new_lines = []
+    for line in lines:
+        if line.strip().startswith("export"):
+            new_lines.append(f"export = {str(value).lower()}")
+        else:
+            new_lines.append(line)
+
+    path.write_text("\n".join(new_lines))
+
+if __name__ == "__main__":
+
+    # Save the original content of the bdm.toml and params.json files to restore them later
+    original_bdm = BDM_TOML_PATH.read_text()
+    original_params = PARAMS_PATH.read_text()
+
+    try:
+        # Change the export value in the bdm.toml file to False to disable visualization
+        set_export_value(BDM_TOML_PATH, False)
+
+        run_multiple_seeds(N=NUMBER_EXECUTIONS)
+
+    finally:
+        # Restore the original content of the bdm.toml and params.json files always, even if an error occurs during the optimization process
+        BDM_TOML_PATH.write_text(original_bdm)
+        PARAMS_PATH.write_text(original_params)
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 1dd86e1..3dd7644 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -1,3 +1,24 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file contains the Bayesian optimization workflow used to calibrate
+the model parameters, developed under Google Summer of Code (GSoC)
+for the compiler-research.org organization.
+"""
+
 import json
 import logging
 import subprocess
@@ -7,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 12
+EXPERIMENT_ID = 16
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/params.json b/params.json
index 12305b1..f54f7c1 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 422,
+  "seed": 2,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -13,9 +13,9 @@
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -6600.0,
-  "lateral_oxygen_production_max_z": 6600.0,
-  "diffuse_on_z_axis": true,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 45.6,
@@ -25,13 +25,13 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 72.0,
+  "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 0.0,
-  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_saturation_for_proliferation": 14.3,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000031,
-  "aging_factor_cancer_cells": 1.000602
+  "nutrient_starvation_factor_cancer_cells": 1.000602
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 69b542a..7e70092 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -589,8 +589,8 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
       sparams->dt_cycle * ( maximum_necrosis_rate_multiplier + current_basal_death_probability
                           - maximum_necrosis_rate_multiplier * current_basal_death_probability);
 
-  //increase basal death with aging
-  cell->SetBasalDeathProbability(current_basal_death_probability * sparams->scaled_aging_factor_cancer_cells);
+  //increase basal death with nutrient_starvation
+  cell->SetBasalDeathProbability(current_basal_death_probability * sparams->scaled_nutrient_starvation_factor_cancer_cells);
 
   Random* random = sim->GetRandom();
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index cb9b7be..c33d8cc 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -209,7 +209,7 @@ void SimParam::LoadParams(const std::string& filename) {
               oxygen_limit_for_necrosis_maximum);
   load_double("basal_necrosis_probability_cancer_cells",
               basal_necrosis_probability_cancer_cells);
-  load_double("aging_factor_cancer_cells", aging_factor_cancer_cells);
+  load_double("nutrient_starvation_factor_cancer_cells", nutrient_starvation_factor_cancer_cells);
   load_double("time_lysis", time_lysis);
   load_double("maximum_necrosis_rate", maximum_necrosis_rate);
 
@@ -288,8 +288,8 @@ void SimParam::LoadParams(const std::string& filename) {
   // Calculate steps per day. This is always calculated here
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   steps_in_one_day = static_cast<size_t>(24 * 60 / dt_step);
-  // Calculate the scaled aging factor for cancer cells considering the cycle time step
-  scaled_aging_factor_cancer_cells = std::pow(aging_factor_cancer_cells, dt_cycle);
+  // Calculate the scaled nutrient starvation factor for cancer cells considering the cycle time step
+  scaled_nutrient_starvation_factor_cancer_cells = std::pow(nutrient_starvation_factor_cancer_cells, dt_cycle);
   // Calculate the volume of a single mechanical voxel in μm³
   voxel_volume =
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
@@ -503,8 +503,8 @@ void SimParam::PrintParams() const {
             << oxygen_limit_for_necrosis_maximum << "\n";
   std::cout << "Basal necrosis probability for tumor cells: "
             << basal_necrosis_probability_cancer_cells << "\n";
-  std::cout << "Aging factor for cancer cells: "
-            << aging_factor_cancer_cells << "\n";
+  std::cout << "Nutrient starvation factor for cancer cells: "
+            << nutrient_starvation_factor_cancer_cells << "\n";
   std::cout << "Time in minutes until a lysed necrotic cell is removed: "
             << time_lysis << "\n";
   std::cout << "Maximum rate per minute of necrosis for tumor cells: "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 9a7d9a0..0b5fee7 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -275,9 +275,9 @@ struct SimParam : public ParamGroup {
   /// Basal necrosis probability for cancer cells per minute: death due to natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t basal_necrosis_probability_cancer_cells = 0.0;
-  /// Aging factor (>= 1.0) that multiplies the basal necrosis probability for cancer cells per minute: death due to natural random causes
+  /// Nutrient starvation factor (>= 1.0) that multiplies the basal necrosis probability for cancer cells per minute: death due to natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t aging_factor_cancer_cells = 1.0;
+  real_t nutrient_starvation_factor_cancer_cells = 1.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_lysis = 86400;
@@ -415,9 +415,9 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   size_t steps_in_one_day = 14400;
 
-  /// Scaled aging factor for cencer cells considering the time step
+  /// Scaled nutrient starvation factor for cancer cells considering the time step
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t scaled_aging_factor_cancer_cells = 1.0;
+  real_t scaled_nutrient_starvation_factor_cancer_cells = 1.0;
   
   /// Volume of a single voxel in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)

From 29a86267909e60d73b82c437b562e1b563a92693 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 31 Jul 2026 18:45:46 +0200
Subject: [PATCH 23/54] new parameters for model replication under hypoxia

---
 .../experiment_17/optuna_results.csv          |  11 ++++++++
 .../experiment_20/optuna_results.csv          |  14 ++++++++++
 .../experiment_21/optuna_results.csv          |  12 +++++++++
 .../experiment_25/optuna_results.csv          |  11 ++++++++
 abm_calibration/optimize.py                   |  25 +++++++++++-------
 draft/analysis_radius_atribute.py             |   6 ++---
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 51184 -> 51662 bytes
 draft/config_with_aging_factor.json           |  15 ++++++-----
 draft/config_without_aging_factor.json        |  20 +++++++-------
 draft/experimentation.py                      |  12 ++++-----
 draft/generatecsv.py                          |   2 +-
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 0 -> 66002 bytes
 params.json                                   |  13 ++++-----
 13 files changed, 98 insertions(+), 43 deletions(-)
 create mode 100644 abm_calibration/experiment_17/optuna_results.csv
 create mode 100644 abm_calibration/experiment_20/optuna_results.csv
 create mode 100644 abm_calibration/experiment_21/optuna_results.csv
 create mode 100644 abm_calibration/experiment_25/optuna_results.csv
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png

diff --git a/abm_calibration/experiment_17/optuna_results.csv b/abm_calibration/experiment_17/optuna_results.csv
new file mode 100644
index 0000000..362dc52
--- /dev/null
+++ b/abm_calibration/experiment_17/optuna_results.csv
@@ -0,0 +1,11 @@
+number,value,datetime_start,datetime_complete,duration,params_oxygen_saturation_for_proliferation,state
+0,1494.0,2026-07-28 01:53:27.394257,2026-07-28 02:56:34.557503,0 days 01:03:07.163246,20.5,COMPLETE
+1,2961.0,2026-07-28 02:56:34.590680,2026-07-28 04:02:04.873040,0 days 01:05:30.282360,29.3,COMPLETE
+2,2451.0,2026-07-28 04:02:04.897351,2026-07-28 05:07:17.706270,0 days 01:05:12.808919,25.900000000000002,COMPLETE
+3,2083.0,2026-07-28 05:07:17.737656,2026-07-28 06:11:54.920475,0 days 01:04:37.182819,23.9,COMPLETE
+4,790.0,2026-07-28 06:11:54.944145,2026-07-28 07:19:02.984453,0 days 01:07:08.040308,17.1,COMPLETE
+5,748.0,2026-07-28 07:19:03.087925,2026-07-28 08:23:41.672027,0 days 01:04:38.584102,17.1,COMPLETE
+6,458.0,2026-07-28 08:23:41.696289,2026-07-28 09:27:43.025268,0 days 01:04:01.328979,15.600000000000001,COMPLETE
+7,2668.0,2026-07-28 09:27:43.050614,2026-07-28 10:31:03.147312,0 days 01:03:20.096698,28.0,COMPLETE
+8,2038.0,2026-07-28 10:31:03.171425,2026-07-28 11:34:32.388777,0 days 01:03:29.217352,23.9,COMPLETE
+9,,2026-07-28 11:34:32.452591,,,25.6,RUNNING
diff --git a/abm_calibration/experiment_20/optuna_results.csv b/abm_calibration/experiment_20/optuna_results.csv
new file mode 100644
index 0000000..054bf5d
--- /dev/null
+++ b/abm_calibration/experiment_20/optuna_results.csv
@@ -0,0 +1,14 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,state
+0,25130.0,2026-07-29 02:28:14.657903,2026-07-29 03:36:43.996812,0 days 01:08:29.338909,0.3746,COMPLETE
+1,25130.0,2026-07-29 03:36:44.023666,2026-07-29 04:37:24.370047,0 days 01:00:40.346381,0.9508000000000001,COMPLETE
+2,25130.0,2026-07-29 04:37:24.394168,2026-07-29 05:38:21.150072,0 days 01:00:56.755904,0.732,COMPLETE
+3,25130.0,2026-07-29 05:38:21.174305,2026-07-29 06:39:29.052295,0 days 01:01:07.877990,0.5987,COMPLETE
+4,23621.0,2026-07-29 06:39:29.075839,2026-07-29 07:42:11.057654,0 days 01:02:41.981815,0.1561,COMPLETE
+5,23579.0,2026-07-29 07:42:11.082628,2026-07-29 08:43:21.546551,0 days 01:01:10.463923,0.156,COMPLETE
+6,14600.0,2026-07-29 08:43:21.571928,2026-07-29 09:46:10.729746,0 days 01:02:49.157818,0.058100000000000006,COMPLETE
+7,25130.0,2026-07-29 09:46:10.760750,2026-07-29 10:46:47.836250,0 days 01:00:37.075500,0.8662000000000001,COMPLETE
+8,25130.0,2026-07-29 10:46:47.859339,2026-07-29 11:47:59.338586,0 days 01:01:11.479247,0.6012000000000001,COMPLETE
+9,25130.0,2026-07-29 11:47:59.369973,2026-07-29 12:50:18.034200,0 days 01:02:18.664227,0.7081000000000001,COMPLETE
+10,13317.0,2026-07-29 12:50:18.058032,2026-07-29 13:53:32.858946,0 days 01:03:14.800914,0.0298,COMPLETE
+11,11223.0,2026-07-29 13:53:32.883849,2026-07-29 14:57:47.479220,0 days 01:04:14.595371,0.002,COMPLETE
+12,,2026-07-29 14:57:47.504946,,,0.007600000000000001,RUNNING
diff --git a/abm_calibration/experiment_21/optuna_results.csv b/abm_calibration/experiment_21/optuna_results.csv
new file mode 100644
index 0000000..7075931
--- /dev/null
+++ b/abm_calibration/experiment_21/optuna_results.csv
@@ -0,0 +1,12 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,state
+0,25.0,2026-07-29 23:47:05.872707,2026-07-30 00:51:51.035547,0 days 01:04:45.162840,2.1799999999999998e-05,COMPLETE
+1,952.0,2026-07-30 00:51:51.062068,2026-07-30 01:57:37.041491,0 days 01:05:45.979423,4.7799999999999996e-05,COMPLETE
+2,630.0,2026-07-30 01:57:37.065628,2026-07-30 03:03:43.257575,0 days 01:06:06.191947,3.7999999999999995e-05,COMPLETE
+3,282.0,2026-07-30 03:03:43.280884,2026-07-30 04:09:33.352886,0 days 01:05:50.072002,3.19e-05,COMPLETE
+4,402.0,2026-07-30 04:09:33.376630,2026-07-30 05:14:58.896607,0 days 01:05:25.519977,1.2e-05,COMPLETE
+5,470.0,2026-07-30 05:14:58.920315,2026-07-30 06:20:49.166033,0 days 01:05:50.245718,1.2e-05,COMPLETE
+6,486.0,2026-07-30 06:20:49.189613,2026-07-30 07:27:16.037079,0 days 01:06:26.847466,7.6e-06,COMPLETE
+7,856.0,2026-07-30 07:27:16.060272,2026-07-30 08:33:19.225388,0 days 01:06:03.165116,4.4e-05,COMPLETE
+8,377.0,2026-07-30 08:33:19.248573,2026-07-30 09:39:27.533538,0 days 01:06:08.284965,3.21e-05,COMPLETE
+9,402.0,2026-07-30 09:39:27.562680,2026-07-30 10:45:33.445096,0 days 01:06:05.882416,3.6899999999999996e-05,COMPLETE
+10,,2026-07-30 10:45:33.468540,2026-07-30 10:48:11.865198,0 days 00:02:38.396658,2.35e-05,FAIL
diff --git a/abm_calibration/experiment_25/optuna_results.csv b/abm_calibration/experiment_25/optuna_results.csv
new file mode 100644
index 0000000..04e200d
--- /dev/null
+++ b/abm_calibration/experiment_25/optuna_results.csv
@@ -0,0 +1,11 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,params_oxygen_saturation_for_proliferation,state
+0,115.0,2026-07-30 22:28:07.359596,2026-07-31 00:36:38.807418,0 days 02:08:31.447822,2.06e-05,13.799999999999999,COMPLETE
+1,173.0,2026-07-31 00:36:38.834987,2026-07-31 02:46:00.741306,0 days 02:09:21.906319,2.22e-05,13.719999999999999,COMPLETE
+2,104.5,2026-07-31 02:46:00.765186,2026-07-31 04:54:54.575542,0 days 02:08:53.810356,1.9600000000000002e-05,13.62,COMPLETE
+3,116.0,2026-07-31 04:54:54.600885,2026-07-31 07:04:10.501726,0 days 02:09:15.900841,1.9200000000000003e-05,13.78,COMPLETE
+4,75.0,2026-07-31 07:04:10.525508,2026-07-31 09:13:06.404275,0 days 02:08:55.878767,2.16e-05,13.74,COMPLETE
+5,182.0,2026-07-31 09:13:06.429778,2026-07-31 11:22:04.369873,0 days 02:08:57.940095,1.9e-05,13.799999999999999,COMPLETE
+6,,2026-07-31 11:22:04.393221,2026-07-31 12:18:48.572590,0 days 00:56:44.179369,2.2800000000000002e-05,13.639999999999999,FAIL
+7,94.5,2026-07-31 12:18:50.276375,2026-07-31 14:26:47.998566,0 days 02:07:57.722191,2.08e-05,13.76,COMPLETE
+8,155.5,2026-07-31 14:26:48.023735,2026-07-31 16:34:56.552134,0 days 02:08:08.528399,2.1600000000000003e-05,13.72,COMPLETE
+9,,2026-07-31 16:34:56.576747,,,2e-05,13.66,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 7a059a5..e5a872c 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 16
+EXPERIMENT_ID = 25
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 1000000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
+NUMBER_MONTE_CARLO = 2
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -65,6 +65,9 @@ def run_ABM(params, seed):
     # oxygen_limit_for_proliferation = params[
     #     "oxygen_limit_for_proliferation"
     # ]
+    maximum_necrosis_rate = params[
+        "maximum_necrosis_rate"
+    ]
     oxygen_saturation_for_proliferation = params[
         "oxygen_saturation_for_proliferation"
     ]
@@ -97,15 +100,16 @@ def run_ABM(params, seed):
         "treatment": {
             "0": 0
         },
-        "average_time_transformation_random_rate": 72.,
+        "average_time_transformation_random_rate": 72.0,
         "standard_deviation_transformation_random_rate": 15.0,
         "oxygen_saturation_for_proliferation": oxygen_saturation_for_proliferation,
         "oxygen_limit_for_proliferation": 5.9,
         "oxygen_limit_for_necrosis_maximum": 0.0,
-        "oxygen_limit_for_necrosis": 0.0,
+        "oxygen_limit_for_necrosis": 45.0,
+        "maximum_necrosis_rate": maximum_necrosis_rate,
         "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": 0.0000031,
-        "nutrient_starvation_factor_cancer_cells": 1.000602
+        "basal_necrosis_probability_cancer_cells": 0.0000166,
+        "nutrient_starvation_factor_cancer_cells": 1.00
         }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -173,13 +177,13 @@ def compute_error():
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    # tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_4320 = 2066
+    tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
+    target_tumor_cells_type5_dead_4320 = 2870
     total_tumor_cells_4320 = row["num_tumor_cells"]
     target_total_tumor_cells_4320 = 38266
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(total_tumor_cells_4320 - target_total_tumor_cells_4320)
+    error_total_tumor_cells = abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + abs(total_tumor_cells_4320 - target_total_tumor_cells_4320)
 
     return float(error_total_tumor_cells)
 
@@ -306,7 +310,8 @@ def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
-        "oxygen_saturation_for_proliferation": trial.suggest_float("oxygen_saturation_for_proliferation", 6.5, 44, step=0.1),
+        "maximum_necrosis_rate": trial.suggest_float("maximum_necrosis_rate", 0.00002, 0.000022, step=0.0000004),
+        "oxygen_saturation_for_proliferation": trial.suggest_float("oxygen_saturation_for_proliferation", 13.64, 13.76, step=0.02),
         # "nutrient_starvation_factor_cancer_cells": trial.suggest_float("nutrient_starvation_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
     }
 
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 1cab825..56e6f47 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -32,13 +32,13 @@
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
 MINUTE = 4320 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
-ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-# ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 # APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
diff --git a/draft/average_oxygen_all_cells_radius_vs_radius.png b/draft/average_oxygen_all_cells_radius_vs_radius.png
index 84d4b901677c56c4b624ae7203d3ab1c0a1a01b8..d9efa2b27504ceed8a5990248a0d0e48aab50b3c 100644
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diff --git a/draft/config_with_aging_factor.json b/draft/config_with_aging_factor.json
index 7225293..4174d66 100644
--- a/draft/config_with_aging_factor.json
+++ b/draft/config_with_aging_factor.json
@@ -1,5 +1,5 @@
 {
-  "seed": 42,
+  "seed": 2,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -13,9 +13,9 @@
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -6600.0,
-  "lateral_oxygen_production_max_z": 6600.0,
-  "diffuse_on_z_axis": true,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 45.6,
@@ -27,10 +27,11 @@
   },
   "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 0.0,
-  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_saturation_for_proliferation": 13.85,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_rate": 0.00002276,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000031,
   "nutrient_starvation_factor_cancer_cells": 1.000602
diff --git a/draft/config_without_aging_factor.json b/draft/config_without_aging_factor.json
index d3b1dd2..0fb4b36 100644
--- a/draft/config_without_aging_factor.json
+++ b/draft/config_without_aging_factor.json
@@ -1,5 +1,5 @@
 {
-  "seed": 422,
+  "seed": 42,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -13,9 +13,9 @@
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -6600.0,
-  "lateral_oxygen_production_max_z": 6600.0,
-  "diffuse_on_z_axis": true,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 45.6,
@@ -27,12 +27,12 @@
   },
   "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 0.0,
-  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000165,
-  "nutrient_starvation_factor_cancer_cells": 1.00,
-  "dt_substances": 4320
+  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "nutrient_starvation_factor_cancer_cells": 1.00
 }
\ No newline at end of file
diff --git a/draft/experimentation.py b/draft/experimentation.py
index 20f196c..f3c5bdc 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -65,15 +65,15 @@ def run_ABM(seed):
         "decay_constant_oxygen": 0.01,
         "time_apoptosis": 6000.0,
         "treatment": {"0": 0},
-        "average_time_transformation_random_rate": 72,
+        "average_time_transformation_random_rate": 72.0,
         "standard_deviation_transformation_random_rate": 15.0,
-        "oxygen_saturation_for_proliferation": 0.0,
-        "oxygen_limit_for_proliferation": 0.0,
+        "oxygen_saturation_for_proliferation": 0,
+        "oxygen_limit_for_proliferation": 0,
         "oxygen_limit_for_necrosis_maximum": 0.0,
         "oxygen_limit_for_necrosis": 0.0,
         "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": 0.0000031,
-        "nutrient_starvation_factor_cancer_cells": 1.000602,
+        "basal_necrosis_probability_cancer_cells": 0.0000166,
+        "nutrient_starvation_factor_cancer_cells": 1.00,
         "dt_substances": 4320
     }
 
@@ -106,7 +106,7 @@ def run_multiple_seeds(N):
     DRAFT_DIR.mkdir(parents=True, exist_ok=True)
 
     # for seed in range(N):
-    for seed in[4,5,6,7,8,9]:
+    for seed in range(N):
         print(f"--- Running ABM with seed={seed} ---")
         run_ABM(seed)
         copy_output_to_draft(seed)
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 3dd7644..43e8ed2 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 16
+EXPERIMENT_ID = 25
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
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HcmV?d00001

diff --git a/params.json b/params.json
index f54f7c1..0fb4b36 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 2,
+  "seed": 42,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -25,13 +25,14 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 72,
+  "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 14.3,
+  "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000031,
-  "nutrient_starvation_factor_cancer_cells": 1.000602
+  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "nutrient_starvation_factor_cancer_cells": 1.00
 }
\ No newline at end of file

From 0e343c9c6ddd6a3f17464f6f01de53977e9e5dbd Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 1 Aug 2026 21:10:46 +0200
Subject: [PATCH 24/54] new physical barriers to avoid cell movement outside
 the cilinder boundaries z and generalization of CART cell spwan

---
 draft/analysis_radius_atribute.py             |   2 +-
 draft/experimentation.py                      |  72 +++++++++---------
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 66002 -> 57064 bytes
 params.json                                   |   9 ++-
 src/agents/cart_cell.cc                       |  12 +++
 src/agents/tumor_cell.cc                      |  13 ++++
 src/params/hyperparams.cc                     |  22 +++++-
 src/params/hyperparams.h                      |   6 ++
 src/utils/utils_aux.cc                        |  32 ++++++--
 9 files changed, 121 insertions(+), 47 deletions(-)

diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 56e6f47..412237d 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -38,7 +38,7 @@
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 # APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
diff --git a/draft/experimentation.py b/draft/experimentation.py
index f3c5bdc..634c698 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -40,41 +40,43 @@
 
 def run_ABM(seed):
 
-    config = {
-        "seed": seed,
-        "output_performance_statistics": False,
-        "total_minutes_to_simulate": 4320,
-        "output_csv_interval": 600,
-        "bounded_space_length": 6500.0,
-        "tumor_shape": "cylinder",
-        "output_information_dependent_on_radius": True,
-        "cylindrical_tumor_radius": 3000.0,
-        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-        "num_radius_intervals": 20,
-        "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": 28000,
-        "oncoprotein_mean": 1.0,
-        "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -6600.0,
-        "lateral_oxygen_production_max_z": 6600.0,
-        "diffuse_on_z_axis": True,
-        "initial_oxygen_level": 0.0,
-        "oxygen_reference_level": 165.0,
-        "default_oxygen_consumption_tumor_cell": 45.6,
-        "diffusion_coefficient_oxygen": 180000.0,
-        "decay_constant_oxygen": 0.01,
-        "time_apoptosis": 6000.0,
-        "treatment": {"0": 0},
-        "average_time_transformation_random_rate": 72.0,
-        "standard_deviation_transformation_random_rate": 15.0,
-        "oxygen_saturation_for_proliferation": 0,
-        "oxygen_limit_for_proliferation": 0,
-        "oxygen_limit_for_necrosis_maximum": 0.0,
-        "oxygen_limit_for_necrosis": 0.0,
-        "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": 0.0000166,
-        "nutrient_starvation_factor_cancer_cells": 1.00,
-        "dt_substances": 4320
+    config={
+    "seed": seed,
+    "output_performance_statistics": False,
+    "total_minutes_to_simulate": 4320,
+    "output_csv_interval": 600,
+    "bounded_space_length": 6500.0,
+    "tumor_shape": "cylinder",
+    "output_information_dependent_on_radius": True,
+    "cylindrical_tumor_radius": 3000.0,
+    "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+    "num_radius_intervals": 20,
+    "cylindrical_tumor_height": 100.0,
+    "initial_number_of_cylindrical_tumor_cells": 28000,
+    "oncoprotein_mean": 1.0,
+    "oncoprotein_standard_deviation": 0.0,
+    "lateral_oxygen_production_min_z": -300.0,
+    "lateral_oxygen_production_max_z": 300.0,
+    "diffuse_on_z_axis": False,
+    "initial_oxygen_level": 0.0,
+    "oxygen_reference_level": 165.0,
+    "default_oxygen_consumption_tumor_cell": 45.6,
+    "diffusion_coefficient_oxygen": 180000.0,
+    "decay_constant_oxygen": 0.01,
+    "time_apoptosis": 6000.0,
+    "treatment": {
+        "0": 0
+    },
+    "average_time_transformation_random_rate": 72.0,
+    "standard_deviation_transformation_random_rate": 15.0,
+    "oxygen_saturation_for_proliferation": 13.74,
+    "oxygen_limit_for_proliferation": 5.9,
+    "oxygen_limit_for_necrosis_maximum": 0.0,
+    "oxygen_limit_for_necrosis": 45.0,
+    "maximum_necrosis_rate": 0.0000216,
+    "reduction_consumption_dead_cells": 0.0,
+    "basal_necrosis_probability_cancer_cells": 0.0000166,
+    "nutrient_starvation_factor_cancer_cells": 1.00
     }
 
     # Save the config parameters for this run to the params.json file
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
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diff --git a/params.json b/params.json
index 0fb4b36..f67445e 100644
--- a/params.json
+++ b/params.json
@@ -6,7 +6,7 @@
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
+  "cylindrical_tumor_radius": 2875.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
@@ -23,7 +23,7 @@
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "treatment": {
-    "0": 0
+    "0": 560000
   },
   "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
@@ -34,5 +34,8 @@
   "maximum_necrosis_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000166,
-  "nutrient_starvation_factor_cancer_cells": 1.00
+  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 7d7b16b..e9b45b0 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -280,6 +280,18 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
+  // Clamp the movement if it surpasses the z boundaries.
+  const double current_z = current_position[2];
+  double& movement_z = movement_at_next_step[2];
+  const double min_z = sparams->bounded_space_min_allowed_z;
+  const double max_z = sparams->bounded_space_max_allowed_z;
+  const double next_z = current_z + movement_z;
+  if (next_z < min_z) {
+      movement_z = min_z - current_z;
+  } else if (next_z > max_z) {
+      movement_z = max_z - current_z;
+  }
+
   // Displacement
   return movement_at_next_step;
 }
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 7e70092..94a3cf1 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -307,6 +307,19 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
+  // Clamp the movement if it surpasses the z boundaries.
+  Real3 current_position = GetPosition();
+  const double current_z = current_position[2];
+  double& movement_z = movement_at_next_step[2];
+  const double min_z = sparams->bounded_space_min_allowed_z;
+  const double max_z = sparams->bounded_space_max_allowed_z;
+  const double next_z = current_z + movement_z;
+  if (next_z < min_z) {
+      movement_z = min_z - current_z;
+  } else if (next_z > max_z) {
+      movement_z = max_z - current_z;
+  }
+
   // Displacement
   return movement_at_next_step;
 }
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index c33d8cc..fa26d33 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -80,13 +80,25 @@ void SimParam::LoadParams(const std::string& filename) {
   load_bool("output_performance_statistics", output_performance_statistics);
   load_int("total_minutes_to_simulate", total_minutes_to_simulate);
   load_string("tumor_shape", tumor_shape);
-  load_double("initial_spherical_tumor_radius", initial_spherical_tumor_radius);
-  load_double("cylindrical_tumor_radius", cylindrical_tumor_radius);
-  load_double("cylindrical_tumor_height", cylindrical_tumor_height);
   load_int("initial_number_of_cylindrical_tumor_cells",
            initial_number_of_cylindrical_tumor_cells);
   load_int("bounded_space_length", bounded_space_length);
 
+  load_double("initial_spherical_tumor_radius", initial_spherical_tumor_radius);
+  load_double("cylindrical_tumor_radius", cylindrical_tumor_radius);
+  load_double("cylindrical_tumor_height", cylindrical_tumor_height);
+  
+  if (jfile.contains("bounded_space_min_allowed_z")) {
+    bounded_space_min_allowed_z = jfile["bounded_space_min_allowed_z"].get<double>();
+  } else {
+    bounded_space_min_allowed_z = -bounded_space_length/2;
+  }
+  if (jfile.contains("bounded_space_max_allowed_z")) {
+    bounded_space_max_allowed_z = jfile["bounded_space_max_allowed_z"].get<double>();
+  } else {
+    bounded_space_max_allowed_z = bounded_space_length/2;
+  }
+  
   if (jfile.contains("treatment")) {
     treatment.clear();
     // Parse the JSON object to handle string keys
@@ -363,6 +375,10 @@ void SimParam::PrintParams() const {
               << cylindrical_tumor_radius << "\n";
     std::cout << "Initial height of the cylindrical tumor (micrometers): "
               << cylindrical_tumor_height << "\n";
+    std::cout << "Min allowed Z coordinate for cells (micrometers): "
+              << bounded_space_min_allowed_z << "\n";
+    std::cout << "Max allowed Z coordinate for cells (micrometers): "
+              << bounded_space_max_allowed_z << "\n";
     std::cout << "Initial number of cylindrical tumor cells: "
               << initial_number_of_cylindrical_tumor_cells << "\n";
   }
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 0b5fee7..91dc264 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -93,6 +93,12 @@ struct SimParam : public ParamGroup {
   /// Initial height of the cylindrical tumor in micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t cylindrical_tumor_height = 100;
+  /// Min allowed Z coordinate for cells. Used for cylindrical tumors with phisical barriers. By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t bounded_space_min_allowed_z = -500;
+  /// Max allowed Z coordinate for cells. Used for cylindrical tumors with phisical barriers. By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t bounded_space_max_allowed_z = 500;
   /// Initial number of cylindrical tumor cells
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int initial_number_of_cylindrical_tumor_cells = 2800;
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 650bc35..d78d6a9 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -438,16 +438,27 @@ void SpawnCart::operator()() {
     // compute tumor radius
     ResourceManager* rm = simulation->GetResourceManager();
     real_t max_dist_sq = 0.0;
+    bool tumor_shape_is_cylindrical = sparams->tumor_shape == "cylinder";
+    bool tumor_shape_is_spherical = sparams->tumor_shape == "sphere";
 
     rm->ForEachAgent([&](const Agent* agent) {
       if (const auto* cancer_cell = dynamic_cast<const TumorCell*>(agent)) {
+        // Compute the distance to the center depending on the tumor shape
+        real_t dist_sq = 0.0;
         const Real3& pos = cancer_cell->GetPosition();
-        const real_t dist_sq =
-            pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];
+        if (tumor_shape_is_cylindrical) {
+          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+          dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
+        } else if (tumor_shape_is_spherical) {
+          // Consider all three dimensions for spherical radius
+          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];  
+        } else{
+          Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+        }
         if (dist_sq > max_dist_sq) {
           max_dist_sq = dist_sq;
         }
-      }
+      } 
     });
 
     // the car-t spawns at least
@@ -461,8 +472,11 @@ void SpawnCart::operator()() {
     // for generating car-t positions
     Random* rng = simulation->GetRandom();
     const Param* param = simulation->GetParam();
+    const auto* sparams = param->Get<SimParam>();
     const real_t min_b = param->min_bound;
     const real_t max_b = param->max_bound;
+    const real_t min_bz = sparams->bounded_space_min_allowed_z;
+    const real_t max_bz = sparams->bounded_space_max_allowed_z;
     real_t px = 0.0;
     real_t py = 0.0;
     real_t pz = 0.0;
@@ -475,8 +489,16 @@ void SpawnCart::operator()() {
       while (true) {
         px = rng->Uniform(min_b, max_b);
         py = rng->Uniform(min_b, max_b);
-        pz = rng->Uniform(min_b, max_b);
-        radi_sq = px * px + py * py + pz * pz;
+        pz = rng->Uniform(min_bz, max_bz);
+        if (tumor_shape_is_cylindrical) {
+          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+          radi_sq = px * px + py * py; 
+        } else if (tumor_shape_is_spherical) {
+          // Consider all three dimensions for spherical radius
+          radi_sq = px * px + py * py + pz * pz; 
+        } else{
+          Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+        } 
         if (radi_sq >= minimum_squared_radius) {
           break;
         }

From e6b4bb5747eb710293a1eb3a53a88a7d1227bad6 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 3 Aug 2026 22:55:19 +0200
Subject: [PATCH 25/54] new volumes for tumor cells and cart cells

---
 bdm.toml                                        |   4 ++--
 draft/analysis_radius_atribute.py               |   4 ++--
 draft/num_alive_cart_cells_radius_vs_radius.png | Bin 0 -> 40987 bytes
 params.json                                     |   2 ++
 4 files changed, 6 insertions(+), 4 deletions(-)
 create mode 100644 draft/num_alive_cart_cells_radius_vs_radius.png

diff --git a/bdm.toml b/bdm.toml
index e2633f0..0327feb 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,6 +1,6 @@
 [visualization]
-export = false
-interval = 7200
+export = true
+interval = 300
 
 [[visualize_agent]]
 name = "TumorCell"
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 412237d..0a24bc1 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -30,10 +30,10 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 4320 # change this to the minute you want to plot
+MINUTE = 900 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-ATTRIBUTE = "tumor_cells_type5_dead_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
diff --git a/draft/num_alive_cart_cells_radius_vs_radius.png b/draft/num_alive_cart_cells_radius_vs_radius.png
new file mode 100644
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diff --git a/params.json b/params.json
index f67445e..2508922 100644
--- a/params.json
+++ b/params.json
@@ -11,6 +11,8 @@
   "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "lateral_oxygen_production_min_z": -300.0,

From b0457f72012f519d7cdd635c5d5a8202f787d020 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 5 Aug 2026 15:32:53 +0200
Subject: [PATCH 26/54] new glucose gradient, and fit of associated diffusion
 and consumption parameters. Add new parameters to initialize substances in
 restricted areas. New tumoral and cart cell volumes

---
 .../experiment_30/optuna_results.csv          |   3 +
 abm_calibration/optimize.py                   | 122 ++++++++++--------
 bdm.toml                                      |   7 +-
 draft/analysis_radius_atribute.py             |  11 +-
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 0 -> 36166 bytes
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 51662 -> 56299 bytes
 ...adius_vs_radius28000_cells_no_cup_last.png | Bin 54066 -> 0 bytes
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 57573 -> 0 bytes
 draft/config_after_midterm.json               |  48 +++++++
 draft/generatecsv.py                          |   2 +-
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 0 -> 36478 bytes
 .../num_alive_cart_cells_radius_vs_radius.png | Bin 40987 -> 0 bytes
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 57064 -> 0 bytes
 ..._dead_radius_vs_radius24h_28000_no_cup.png | Bin 47230 -> 0 bytes
 ...ead_radius_vs_radius28000_72h_absolute.png | Bin 60351 -> 0 bytes
 ...ad_radius_vs_radius_72h_no_cuprelative.png | Bin 67087 -> 0 bytes
 params.json                                   |  27 ++--
 src/agents/cart_cell.cc                       |  64 ++++++---
 src/agents/cart_cell.h                        |  30 ++++-
 src/agents/tumor_cell.cc                      |  69 +++++++---
 src/agents/tumor_cell.h                       |  29 +++++
 src/cart_tumor.cc                             |  99 ++++++++++----
 src/cart_tumor.h                              |   2 +-
 src/params/hyperparams.cc                     |  73 +++++++++--
 src/params/hyperparams.h                      |  46 ++++++-
 src/utils/utils_aux.cc                        |  59 +++++++--
 src/utils/utils_aux.h                         |   4 +-
 27 files changed, 535 insertions(+), 160 deletions(-)
 create mode 100644 abm_calibration/experiment_30/optuna_results.csv
 create mode 100644 draft/average_glucose_all_cells_radius_vs_radius.png
 delete mode 100644 draft/average_oxygen_all_cells_radius_vs_radius28000_cells_no_cup_last.png
 delete mode 100644 draft/average_oxygen_cancer_cells_radius_vs_radius.png
 create mode 100644 draft/config_after_midterm.json
 create mode 100644 draft/no_margin_average_glucose_all_cells_radius_vs_radius.png
 delete mode 100644 draft/num_alive_cart_cells_radius_vs_radius.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius24h_28000_no_cup.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius28000_72h_absolute.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius_72h_no_cuprelative.png

diff --git a/abm_calibration/experiment_30/optuna_results.csv b/abm_calibration/experiment_30/optuna_results.csv
new file mode 100644
index 0000000..235183f
--- /dev/null
+++ b/abm_calibration/experiment_30/optuna_results.csv
@@ -0,0 +1,3 @@
+number,value,datetime_start,datetime_complete,duration,params_default_glucose_consumption_tumor_cell,state
+0,,2026-08-05 00:39:58.109630,2026-08-05 00:40:02.715461,0 days 00:00:04.605831,0.19,FAIL
+1,,2026-08-05 00:40:45.953539,2026-08-05 01:21:47.307931,0 days 00:41:01.354392,0.19,FAIL
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index e5a872c..ba089a9 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 25
+EXPERIMENT_ID = 30
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 1000000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 2
+NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -65,52 +65,68 @@ def run_ABM(params, seed):
     # oxygen_limit_for_proliferation = params[
     #     "oxygen_limit_for_proliferation"
     # ]
-    maximum_necrosis_rate = params[
-        "maximum_necrosis_rate"
-    ]
-    oxygen_saturation_for_proliferation = params[
-        "oxygen_saturation_for_proliferation"
+    default_glucose_consumption_tumor_cell = params[
+        "default_glucose_consumption_tumor_cell"
     ]
+    # oxygen_saturation_for_proliferation = params[
+    #     "oxygen_saturation_for_proliferation"
+    # ]
 
     # Change this configuration for the ABM run
     config = {
-        "seed": seed,
-        "output_performance_statistics": False,
-        "total_minutes_to_simulate": 4320,
-        "output_csv_interval": 600,
-        "bounded_space_length": 6500.0,
-        "tumor_shape": "cylinder",
-        "output_information_dependent_on_radius": True,
-        "cylindrical_tumor_radius": 3000.0,
-        "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-        "num_radius_intervals": 20,
-        "cylindrical_tumor_height": 100.0,
-        "initial_number_of_cylindrical_tumor_cells": 28000,
-        "oncoprotein_mean": 1.0,
-        "oncoprotein_standard_deviation": 0.0,
-        "lateral_oxygen_production_min_z": -300.0,
-        "lateral_oxygen_production_max_z": 300.0,
-        "diffuse_on_z_axis": False,
-        "initial_oxygen_level": 0.0,
-        "oxygen_reference_level": 165.0,
-        "default_oxygen_consumption_tumor_cell": 45.6,
-        "diffusion_coefficient_oxygen": 180000.0,
-        "decay_constant_oxygen": 0.01,
-        "time_apoptosis": 6000.0,
-        "treatment": {
-            "0": 0
-        },
-        "average_time_transformation_random_rate": 72.0,
-        "standard_deviation_transformation_random_rate": 15.0,
-        "oxygen_saturation_for_proliferation": oxygen_saturation_for_proliferation,
-        "oxygen_limit_for_proliferation": 5.9,
-        "oxygen_limit_for_necrosis_maximum": 0.0,
-        "oxygen_limit_for_necrosis": 45.0,
-        "maximum_necrosis_rate": maximum_necrosis_rate,
-        "reduction_consumption_dead_cells": 0.0,
-        "basal_necrosis_probability_cancer_cells": 0.0000166,
-        "nutrient_starvation_factor_cancer_cells": 1.00
-        }
+  "seed": 42,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_on_z_axis": False,
+  "output_performance_statistics": False,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": True,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 72.0,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_rate": 0.0000216,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": False,
+  "add_glucose": True,
+  "diffusion_coefficient_glucose": 7800,
+  "decay_constant_glucose": 0.000001,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3000.0,
+  "default_glucose_consumption_tumor_cell": 1,
+  "default_glucose_consumption_cart": 0.0
+}
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
         json.dump(config, f, indent=2)
@@ -163,7 +179,7 @@ def compute_error():
         return float("inf")
 
     df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead"]
+        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells"]
     )
    #take at the minute 1440 
     # row = df_s[df_s["total_minutes"] == 1440].iloc[0]
@@ -176,14 +192,14 @@ def compute_error():
     # target_tumor_cells_type5_dead_2880 = 350
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
-    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    tumor_cells_type5_dead_4320 = row["tumor_cells_type5_dead"]
-    target_tumor_cells_type5_dead_4320 = 2870
-    total_tumor_cells_4320 = row["num_tumor_cells"]
-    target_total_tumor_cells_4320 = 38266
+    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
+    average_glucose_all_cells_2880 = row["average_glucose_all_cells"]
+    target_average_glucose_all_cells_2880 = 5.5
+    # total_tumor_cells_4320 = row["num_tumor_cells"]
+    # target_total_tumor_cells_4320 = 38266
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(tumor_cells_type5_dead_4320 - target_tumor_cells_type5_dead_4320) + abs(total_tumor_cells_4320 - target_total_tumor_cells_4320)
+    error_total_tumor_cells = abs(average_glucose_all_cells_2880 - target_average_glucose_all_cells_2880)
 
     return float(error_total_tumor_cells)
 
@@ -310,8 +326,8 @@ def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
-        "maximum_necrosis_rate": trial.suggest_float("maximum_necrosis_rate", 0.00002, 0.000022, step=0.0000004),
-        "oxygen_saturation_for_proliferation": trial.suggest_float("oxygen_saturation_for_proliferation", 13.64, 13.76, step=0.02),
+        # "maximum_necrosis_rate": trial.suggest_float("maximum_necrosis_rate", 0.00002, 0.000022, step=0.0000004),
+        "default_glucose_consumption_tumor_cell": trial.suggest_float("default_glucose_consumption_tumor_cell", 1.4, 1.6, step=0.04),
         # "nutrient_starvation_factor_cancer_cells": trial.suggest_float("nutrient_starvation_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
     }
 
diff --git a/bdm.toml b/bdm.toml
index 0327feb..577e93e 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = true
+export = false
 interval = 300
 
 [[visualize_agent]]
@@ -15,7 +15,4 @@ name = "CarTCell"
 additional_data_members = ["diameter_","volume_"]
 
 [[visualize_diffusion]]
-name = "oxygen"
-
-[[visualize_diffusion]]
-name = "immunostimulatory_factor"
\ No newline at end of file
+name = "oxygen"
\ No newline at end of file
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 0a24bc1..d47058a 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -20,9 +20,6 @@
 """
 
 
-import re
-import pandas as pd
-import matplotlib.pyplot as plt
 import re
 import numpy as np
 import pandas as pd
@@ -30,10 +27,10 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 900 # change this to the minute you want to plot
+MINUTE = 2100 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
-# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot
-ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot
+ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
+ATTRIBUTE = "average_glucose_all_cells_radius"  # change this to the attribute you want to plot
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
@@ -41,7 +38,7 @@
 APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 # APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
-Y_MAX = None
+Y_MAX = 25
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
new file mode 100644
index 0000000000000000000000000000000000000000..b94ab42abfd05ff04acc566d985701834582104e
GIT binary patch
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diff --git a/draft/config_after_midterm.json b/draft/config_after_midterm.json
new file mode 100644
index 0000000..ac196dc
--- /dev/null
+++ b/draft/config_after_midterm.json
@@ -0,0 +1,48 @@
+{
+  "seed": 42,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "diffuse_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 2875.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 560000
+  },
+  "average_time_transformation_random_rate": 72.0,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_rate": 0.0000216,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": false,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "decay_constant_glucose": 0.01,
+  "initial_glucose_level": 24.98
+}
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 43e8ed2..e144220 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 25
+EXPERIMENT_ID = 30
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/no_margin_average_glucose_all_cells_radius_vs_radius.png b/draft/no_margin_average_glucose_all_cells_radius_vs_radius.png
new file mode 100644
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diff --git a/params.json b/params.json
index 2508922..fbfd2f2 100644
--- a/params.json
+++ b/params.json
@@ -1,31 +1,34 @@
 {
   "seed": 42,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_on_z_axis": false,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
   "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 2875.0,
+  "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
   "default_volume_new_cart_cell": 269.0,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 45.6,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "treatment": {
-    "0": 560000
+    "0": 0
   },
   "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
@@ -39,5 +42,13 @@
   "nutrient_starvation_factor_cancer_cells": 1.00,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": false,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "decay_constant_glucose": 0.000001,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,
+  "default_glucose_consumption_tumor_cell": 0.145,
+  "default_glucose_consumption_cart": 0.145
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index e9b45b0..6c8f418 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -51,15 +51,21 @@ CarTCell::CarTCell(const Real3& position) {
   SetVolume(sparams->default_volume_new_cart_cell);
   const ResourceManager& rm = *sim->GetResourceManager();
   oxygen_dgrid_ = rm.GetDiffusionGrid("oxygen");
-  immunostimulatory_factor_dgrid_ =
-      rm.GetDiffusionGrid("immunostimulatory_factor");
+  immunostimulatory_factor_dgrid_ = sparams->add_immunostimulatory_factor
+        ? rm.GetDiffusionGrid("immunostimulatory_factor")
+        : nullptr;
+  glucose_dgrid_ = sparams->add_glucose
+        ? rm.GetDiffusionGrid("glucose")
+        : nullptr;
 
   SetCurrentLiveTime((sparams->dt_cycle + 1) *
                      sparams->average_maximum_time_untill_apoptosis_cart);
   // Add Consumption and Secretion
   //  Set default oxygen consumption rate
   SetOxygenConsumptionRate(sparams->default_oxygen_consumption_cart);
-  // Compute constants for all ConsumptionSecretion of Oxygen
+  // Set default glucose consumption rate
+  SetGlucoseConsumptionRate(sparams->default_glucose_consumption_cart);
+  // Compute constants for all ConsumptionSecretion of Oxygen and glucose
   ComputeConstantsConsumptionSecretion();
 }
 
@@ -141,7 +147,7 @@ void CarTCell::ChangeVolumeExponentialRelaxationEquation(
   // if the volume has changed
   if (new_volume != current_total_volume) {
     SetVolume(new_volume);
-    // Update constants for all ConsumptionSecretion of Oxygen and
+    // Update constants for all ConsumptionSecretion of Oxygen, glucose and
     // Immunostimulatory Factors
     ComputeConstantsConsumptionSecretion();
   }
@@ -176,15 +182,22 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
     if (rng->Uniform(0.0, 1.0) < sparams->motility_probability_cart) {
       // random direction as unitary vector
       const Real3 random_direction = GenerateRandomDirection();
-      Real3 direction_to_immunostimulatory_factor;
-      // returns normalized gradient towards the immunostimulatory factor source
-      immunostimulatory_factor_dgrid_->GetGradient(
-          current_position, &direction_to_immunostimulatory_factor, true);
-      // motility = bias * direction_to_immunostimulatory_factor +
-      // (1-bias)*random_direction
-      motility =
-          sparams->migration_bias_cart * direction_to_immunostimulatory_factor +
-          sparams->migration_one_minus_bias_cart * random_direction;
+      //initialize motility with random direction
+      motility = random_direction;
+
+      if (IsImmunostimulatoryFactorDefined()) {
+        // if there is an immunostimulatory factor gradient set, the CAR-T cell will moves partially towards it, otherwise it will move randomly
+        Real3 direction_to_immunostimulatory_factor;
+        // returns normalized gradient towards the immunostimulatory factor source
+        immunostimulatory_factor_dgrid_->GetGradient(
+            current_position, &direction_to_immunostimulatory_factor, true);
+        // motility = bias * direction_to_immunostimulatory_factor +
+        // (1-bias)*random_direction
+        motility =
+            sparams->migration_bias_cart * direction_to_immunostimulatory_factor +
+            sparams->migration_one_minus_bias_cart * random_direction;
+      }
+      
       const real_t motility_norm_squared = motility[0] * motility[0] +
                                            motility[1] * motility[1] +
                                            motility[2] * motility[2];
@@ -399,10 +412,14 @@ real_t CarTCell::ConsumeSecreteSubstance(int substance_id,
   if (substance_id == oxygen_dgrid_->GetContinuumId()) {
     // consuming oxygen
     res = (old_concentration + constant1_oxygen_) / constant2_oxygen_;
-  } else if (substance_id ==
-             immunostimulatory_factor_dgrid_->GetContinuumId()) {
+  } else if (IsImmunostimulatoryFactorDefined() && substance_id == immunostimulatory_factor_dgrid_->GetContinuumId()) {
+    // There is a definde immunostimulatory factor grid and this is the one being updated
     // CAR-T do not change immunostimulatory factor levels
     res = old_concentration;
+  } else if (IsGlucoseDefined() && substance_id == glucose_dgrid_->GetContinuumId()) {
+    // There is a definde glucose grid and this is the one being updated
+    // CAR-T do not change glucose levels
+    res = (old_concentration + constant1_glucose_) / constant2_glucose_;
   } else {
     throw std::invalid_argument("Unknown substance id: " +
                                 std::to_string(substance_id));
@@ -425,7 +442,7 @@ void CarTCell::ComputeConstantsConsumptionSecretion() {
   const real_t volume = GetVolume();
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // compute the constants for the differential equation explicit solution: for
-  // oxygen and immunostimulatory factor
+  // oxygen and glucose
   // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
   // · (V_k / V_voxel) · S_k · ρ*_k)
   constant1_oxygen_ = 0.;
@@ -435,6 +452,17 @@ void CarTCell::ComputeConstantsConsumptionSecretion() {
   constant2_oxygen_ = 1 + sparams->dt_substances *
                               (volume / sparams->voxel_volume) *
                               (oxygen_consumption_rate_);
+  // Compute constants for glucose consumption if glucose is defined
+  if (IsGlucoseDefined()) {
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
+    // · (V_k / V_voxel) · S_k · ρ*_k)
+    constant1_glucose_ = 0.;
+    // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
+    // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
+    constant2_glucose_ = 1 + sparams->dt_substances *
+                                (volume / sparams->voxel_volume) *
+                                (glucose_consumption_rate_);
+  }
 }
 
 /// Main behavior executed at each simulation step
@@ -471,6 +499,10 @@ void StateControlCart::Run(Agent* agent) {
           cell->SetOxygenConsumptionRate(
               cell->GetOxygenConsumptionRate() *
               sparams->reduction_consumption_dead_cells);
+          // Reduce glucose consumption
+          cell->SetGlucoseConsumptionRate(
+              cell->GetGlucoseConsumptionRate() *
+              sparams->reduction_consumption_dead_cells);
           // Update constants for all Consumption of oxygen
           cell->ComputeConstantsConsumptionSecretion();
           // Detach from tumor cell if it was attached
diff --git a/src/agents/cart_cell.h b/src/agents/cart_cell.h
index f0accc8..9852703 100644
--- a/src/agents/cart_cell.h
+++ b/src/agents/cart_cell.h
@@ -124,6 +124,11 @@ class CarTCell : public Cell, public ISubstanceInteractor {
     oxygen_consumption_rate_ = rate;
   }
 
+  real_t GetGlucoseConsumptionRate() const { return glucose_consumption_rate_; }
+  void SetGlucoseConsumptionRate(real_t rate) {
+    glucose_consumption_rate_ = rate;
+  }
+
   real_t GetCurrentLiveTime() const { return current_live_time_; }
   void SetCurrentLiveTime(real_t time) { current_live_time_ = time; }
 
@@ -145,6 +150,18 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   DiffusionGrid* GetImmunostimulatoryFactorDiffusionGrid() const {
     return immunostimulatory_factor_dgrid_;
   }
+  /// Returns wether the Immunostimulatory factor is defined
+  bool IsImmunostimulatoryFactorDefined() const {
+    return immunostimulatory_factor_dgrid_ != nullptr;
+  }
+  /// Returns the diffusion grid for glucose
+  DiffusionGrid* GetGlucoseDiffusionGrid() const {
+    return glucose_dgrid_;
+  }
+  /// Returns wether the Immunostimulatory factor is defined
+  bool IsGlucoseDefined() const {
+    return glucose_dgrid_ != nullptr;
+  }
 
   /// Change volume using exponential relaxation equation
   ///
@@ -227,6 +244,9 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   /// Pointer to the immunostimulatory factor diffusion grid
   DiffusionGrid* immunostimulatory_factor_dgrid_ = nullptr;
 
+  /// Pointer to the glucose diffusion grid
+  DiffusionGrid* glucose_dgrid_ = nullptr;
+
   /// Flag indicating if the cell is attached to a tumor cell
   bool attached_to_tumor_cell_ = false;
 
@@ -258,8 +278,8 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   /// Rate of oxygen consumption by the cell
   real_t oxygen_consumption_rate_ = 0.0;
 
-  /// Rate of immunostimulatory factor secretion by the cell
-  real_t immunostimulatory_factor_secretion_rate_ = 0.0;
+  /// Rate of glucose consumption by the cell
+  real_t glucose_consumption_rate_ = 0.0;
 
   /// Constant 1 for oxygen consumption/secretion differential equation solution
   real_t constant1_oxygen_ = 0.0;
@@ -267,6 +287,12 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   /// Constant 2 for oxygen consumption/secretion differential equation solution
   real_t constant2_oxygen_ = 0.0;
 
+  /// Constant 1 for glucose consumption/secretion differential equation solution
+  real_t constant1_glucose_ = 0.0;
+
+  /// Constant 2 for glucose consumption/secretion differential equation solution
+  real_t constant2_glucose_ = 0.0;
+
   /// Pointer to the attached tumor cell
   bdm::AgentPointer<TumorCell> attached_cell_ptr_;
 };
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 94a3cf1..dc03a9c 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -74,9 +74,14 @@ TumorCell::TumorCell(const Real3& position) {
   ResourceManager* rm = Simulation::GetActive()->GetResourceManager();
   // Pointer to oxygen diffusion grid
   oxygen_dgrid_ = rm->GetDiffusionGrid("oxygen");
-  // Pointer to immunostimulatory_factor diffusion grid
+  // Pointer to immunostimulatory_factor diffusion grid if it is added in the simulation
   immunostimulatory_factor_dgrid_ =
-      rm->GetDiffusionGrid("immunostimulatory_factor");
+    sparams->add_immunostimulatory_factor
+        ? rm->GetDiffusionGrid("immunostimulatory_factor")
+        : nullptr;
+  glucose_dgrid_ = sparams->add_glucose
+        ? rm->GetDiffusionGrid("glucose")//Debug
+        : nullptr;
   // Set state transition random rate
   SetTransformationRandomRate();
   // Set basal death probability
@@ -88,7 +93,8 @@ TumorCell::TumorCell(const Real3& position) {
   // Set default immunostimulatory factor secretion rate
   SetImmunostimulatoryFactorSecretionRate(
       sparams->rate_secretion_immunostimulatory_factor);
-  // Compute constants for all ConsumptionSecretion of Oxygen and
+  SetGlucoseConsumptionRate(sparams->default_glucose_consumption_tumor_cell);
+  // Compute constants for all ConsumptionSecretion of Oxygen, glucose and
   // Immunostimulatory Factor
   ComputeConstantsConsumptionSecretion();
 }
@@ -108,7 +114,11 @@ void TumorCell::Initialize(const NewAgentEvent& event) {
       // Pointer to the oxygen diffusion grid
       oxygen_dgrid_ = mother->oxygen_dgrid_;
       // Pointer to the immunostimulatory_factor diffusion grid
-      immunostimulatory_factor_dgrid_ = mother->immunostimulatory_factor_dgrid_;
+      immunostimulatory_factor_dgrid_ = mother->IsImmunostimulatoryFactorDefined()
+                                           ? mother->immunostimulatory_factor_dgrid_
+                                           : nullptr;
+      // Pointer to the glucose diffusion grid
+      glucose_dgrid_ = mother->IsGlucoseDefined() ? mother->glucose_dgrid_ : nullptr;
       // inherit oncoprotein level from mother cell
       this->SetOncoproteinLevel(mother->oncoprotein_level_);
       // inherit oxygen consumption from mother cell
@@ -116,6 +126,8 @@ void TumorCell::Initialize(const NewAgentEvent& event) {
       // inherit immunostimulatory factor secretion rate from mother cell
       this->SetImmunostimulatoryFactorSecretionRate(
           mother->GetImmunostimulatoryFactorSecretionRate());
+      // inherit glucose consumption from mother cell
+      this->SetGlucoseConsumptionRate(mother->GetGlucoseConsumptionRate());
 
       // Update the constants for all ConsumptionSecretion
       mother->ComputeConstantsConsumptionSecretion();
@@ -256,7 +268,7 @@ void TumorCell::ChangeVolumeExponentialRelaxationEquation(
   // if the volume has changed
   if (new_volume != current_total_volume) {
     SetVolume(new_volume);
-    // Update constants for all ConsumptionSecretion of Oxygen and
+    // Update constants for all ConsumptionSecretion of Oxygen, Glucose and
     // Immunostimulatory Factors
     ComputeConstantsConsumptionSecretion();
   }
@@ -332,11 +344,15 @@ real_t TumorCell::ConsumeSecreteSubstance(int substance_id,
   if (substance_id == oxygen_dgrid_->GetContinuumId()) {
     // consuming oxygen
     res = (old_concentration + constant1_oxygen_) / constant2_oxygen_;
-  } else if (substance_id ==
-             immunostimulatory_factor_dgrid_->GetContinuumId()) {
+  } else if (IsImmunostimulatoryFactorDefined() && substance_id == immunostimulatory_factor_dgrid_->GetContinuumId()) {
+    // There is a definde immunostimulatory factor grid and this is the one being updated
     // secreting immunostimulatory factor
     res = (old_concentration + constant1_immunostimulatory_factor_) /
           constant2_immunostimulatory_factor_;
+  } else if (IsGlucoseDefined() && substance_id == glucose_dgrid_->GetContinuumId()) {
+    // There is a defined glucose grid and this is the one being updated
+    // CAR-T do not change glucose levels
+    res = (old_concentration + constant1_glucose_) / constant2_glucose_;
   } else {
     throw std::invalid_argument("Unknown substance id: " +
                                 std::to_string(substance_id));
@@ -357,25 +373,42 @@ void TumorCell::ComputeConstantsConsumptionSecretion() {
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   const real_t new_volume = GetVolume();
   // compute the constants for the differential equation explicit solution: for
-  // oxygen and immunostimulatory factor
+  // oxygen glucose and immunostimulatory factor
   // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
   // · (V_k / V_voxel) · S_k · ρ*_k)
   constant1_oxygen_ = 0.;
-  // Scale by the volume of the cell in the Voxel and time step
-  constant1_immunostimulatory_factor_ =
-      immunostimulatory_factor_secretion_rate_ *
-      sparams->saturation_density_immunostimulatory_factor *
-      sparams->dt_substances * (new_volume / sparams->voxel_volume);
   // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
   // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
   //  Scale by the volume of the cell in the Voxel and time step
   constant2_oxygen_ = 1 + sparams->dt_substances *
                               (new_volume / sparams->voxel_volume) *
                               (oxygen_consumption_rate_);
-  // Scale by the volume of the cell in the Voxel and time step
-  constant2_immunostimulatory_factor_ =
-      1 + sparams->dt_substances * (new_volume / sparams->voxel_volume) *
-              (immunostimulatory_factor_secretion_rate_);
+  if (IsImmunostimulatoryFactorDefined()) {
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
+    // · (V_k / V_voxel) · S_k · ρ*_k)
+    // Scale by the volume of the cell in the Voxel and time step
+    constant1_immunostimulatory_factor_ =
+        immunostimulatory_factor_secretion_rate_ *
+        sparams->saturation_density_immunostimulatory_factor *
+        sparams->dt_substances * (new_volume / sparams->voxel_volume);
+    // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
+    // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
+    // Scale by the volume of the cell in the Voxel and time step
+    constant2_immunostimulatory_factor_ =
+        1 + sparams->dt_substances * (new_volume / sparams->voxel_volume) *
+                (immunostimulatory_factor_secretion_rate_);
+  }
+
+  if (IsGlucoseDefined()) {
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
+    // · (V_k / V_voxel) · S_k · ρ*_k)
+    constant1_glucose_ = 0.;
+    // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
+    // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
+    constant2_glucose_ = 1 + sparams->dt_substances *
+                                (new_volume / sparams->voxel_volume) *
+                                (glucose_consumption_rate_);
+  }
 }
 
 void TumorCell::StartApoptosis() {
@@ -620,6 +653,8 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
     // Reduce consumption
     cell->SetOxygenConsumptionRate(cell->GetOxygenConsumptionRate() *
                                    sparams->reduction_consumption_dead_cells);
+    cell->SetGlucoseConsumptionRate(cell->GetGlucoseConsumptionRate() *
+                                   sparams->reduction_consumption_dead_cells);
     // Update constants for all ConsumptionSecretion of Oxygen and
     // Immunostimulatory Factors
     cell->ComputeConstantsConsumptionSecretion();
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index db8dff9..9bdf145 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -169,6 +169,11 @@ class TumorCell : public Cell, public ISubstanceInteractor {
     oxygen_consumption_rate_ = rate;
   }
 
+  real_t GetGlucoseConsumptionRate() const { return glucose_consumption_rate_; }
+  void SetGlucoseConsumptionRate(real_t rate) {
+    glucose_consumption_rate_ = rate;
+  }
+
   real_t GetImmunostimulatoryFactorSecretionRate() const {
     return immunostimulatory_factor_secretion_rate_;
   }
@@ -186,6 +191,18 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   DiffusionGrid* GetImmunostimulatoryFactorDiffusionGrid() const {
     return immunostimulatory_factor_dgrid_;
   }
+    /// Returns wether the Immunostimulatory factor is defined
+  bool IsImmunostimulatoryFactorDefined() const {
+    return immunostimulatory_factor_dgrid_ != nullptr;
+  }
+  /// Returns the diffusion grid for glucose
+  DiffusionGrid* GetGlucoseDiffusionGrid() const {
+    return glucose_dgrid_;
+  }
+  /// Returns wether the Immunostimulatory factor is defined
+  bool IsGlucoseDefined() const {
+    return glucose_dgrid_ != nullptr;
+  }
 
   /// Change volume using exponential relaxation equation
   ///
@@ -252,6 +269,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// Pointer to the immunostimulatory factor diffusion grid
   DiffusionGrid* immunostimulatory_factor_dgrid_ = nullptr;
 
+  /// Pointer to the glucose diffusion grid
+  DiffusionGrid* glucose_dgrid_ = nullptr;
+
   /// Level of oncoprotein expression
   real_t oncoprotein_level_ = 0.0;
 
@@ -304,12 +324,21 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// Rate of immunostimulatory factor secretion by the cell
   real_t immunostimulatory_factor_secretion_rate_ = 0.0;
 
+  /// Rate of glucose consumption by the cell
+  real_t glucose_consumption_rate_ = 0.0;
+
   /// Constant 1 for oxygen consumption/secretion differential equation solution
   real_t constant1_oxygen_ = 0.0;
 
   /// Constant 2 for oxygen consumption/secretion differential equation solution
   real_t constant2_oxygen_ = 0.0;
 
+  /// Constant 1 for glucose consumption/secretion differential equation solution
+  real_t constant1_glucose_ = 0.0;
+
+  /// Constant 2 for glucose consumption/secretion differential equation solution
+  real_t constant2_glucose_ = 0.0;
+
   /// Constant 1 for immunostimulatory factor consumption/secretion differential
   /// equation solution
   real_t constant1_immunostimulatory_factor_ = 0.0;
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index d7a841e..e5edffd 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -90,6 +90,20 @@ int Simulate(int argc, const char** argv) {
   // Define Substances
   ResourceManager* rm = Simulation::GetActive()->GetResourceManager();
 
+  // Obtain the tumor shape from the parameters
+  const std::string tumor_shape = sparam->tumor_shape;
+  bool is_tumor_shape_spherical = false;
+  bool is_tumor_shape_cylindrical = false;
+  if (tumor_shape == "sphere") {
+    is_tumor_shape_spherical = true;
+  } else if (tumor_shape == "cylinder") {
+    is_tumor_shape_cylindrical = true;
+  } else {
+    Log::Error("Simulate", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+    // Exit with an error code
+    return 1;
+  }   
+
   // Oxygen
   // substance_id, name, diffusion_coefficient, decay_constant, resolution,
   // time_step
@@ -101,17 +115,6 @@ int Simulate(int argc, const char** argv) {
           /*dirichlet_border=*/true);
   rm->AddContinuum(oxygen_grid.release());
 
-  // Immunostimulatory Factor
-  // substance_id, name, diffusion_coefficient, decay_constant, resolution
-  std::unique_ptr<DiffusionThomasAlgorithm> immunostimulatory_factor_grid =
-      std::make_unique<DiffusionThomasAlgorithm>(
-          kImmunostimulatoryFactor, "immunostimulatory_factor",
-          sparam->diffusion_coefficient_immunostimulatory_factor,
-          sparam->decay_constant_immunostimulatory_factor,
-          sparam->resolution_grid_substances, sparam->dt_substances,
-          /*dirichlet_border=*/false);
-  rm->AddContinuum(immunostimulatory_factor_grid.release());
-
   // Boundary Conditions Dirichlet: simulating absorption or total loss at the
   // boundaries of the space.
   // Oxygen comming from the borders (capillary vessels).
@@ -137,26 +140,78 @@ int Simulate(int argc, const char** argv) {
           sparam->lateral_oxygen_production_min_z,
           sparam->lateral_oxygen_production_max_z));
 
-  // This is useless now but should be added this way in a future version of
-  // BioDynaMo
-  ModelInitializer::AddBoundaryConditions(
-      kImmunostimulatoryFactor, BoundaryConditionType::kNeumann, nullptr);
-
+  const real_t min_initial_z_substances = sparam->min_initial_z_substances;
+  const real_t max_initial_z_substances = sparam->max_initial_z_substances;
+  const real_t initial_oxygen_level = sparam->initial_oxygen_level;
   // Initialize oxygen voxels
   ModelInitializer::InitializeSubstance(
-      kOxygen, [sparam](real_t /*x*/, real_t /*y*/, real_t /*z*/) {
-        // Set all voxels to initial_oxygen_level mmHg
-        return sparam->initial_oxygen_level;
+      kOxygen, [initial_oxygen_level, min_initial_z_substances, max_initial_z_substances](real_t x, real_t y, real_t z) {
+        if (z <= max_initial_z_substances && z >= min_initial_z_substances) {
+            return initial_oxygen_level;
+        }
+        return 0.0;
       });
 
+  // Immunostimulatory Factor
+  if (sparam->add_immunostimulatory_factor) {
+    // substance_id, name, diffusion_coefficient, decay_constant, resolution
+    std::unique_ptr<DiffusionThomasAlgorithm> immunostimulatory_factor_grid =
+        std::make_unique<DiffusionThomasAlgorithm>(
+            kImmunostimulatoryFactor, "immunostimulatory_factor",
+            sparam->diffusion_coefficient_immunostimulatory_factor,
+            sparam->decay_constant_immunostimulatory_factor,
+            sparam->resolution_grid_substances, sparam->dt_substances,
+            /*dirichlet_border=*/false);
+    rm->AddContinuum(immunostimulatory_factor_grid.release());
+
+    // This is useless now but should be added this way in a future version of BioDynaMo.
+    // Neumann boundary condition: the is not consumed nor produced at the boundaries
+    ModelInitializer::AddBoundaryConditions(
+        kImmunostimulatoryFactor, BoundaryConditionType::kNeumann, nullptr);
+  }
+  // Glucose
+  // substance_id, name, diffusion_coefficient, decay_constant, resolution,
+  // time_step
+  if (sparam->add_glucose) {
+    std::unique_ptr<DiffusionThomasAlgorithm> glucose_grid =
+        std::make_unique<DiffusionThomasAlgorithm>(
+            kGlucose, "glucose", sparam->diffusion_coefficient_glucose,
+            sparam->decay_constant_glucose, sparam->resolution_grid_substances,
+            sparam->dt_substances,
+            /*dirichlet_border=*/false);
+    rm->AddContinuum(glucose_grid.release());
+
+    // This is useless now but should be added this way in a future version of BioDynaMo.
+    // Neumann boundary condition: the is not consumed nor produced at the boundaries
+    ModelInitializer::AddBoundaryConditions(
+        kGlucose, BoundaryConditionType::kNeumann, nullptr);
+    const real_t initial_glucose_level = sparam->initial_glucose_level;
+    const real_t squared_radius_glucose_initialization = sparam->max_radius_glucose_initialization*sparam->max_radius_glucose_initialization;
+    // Initialize oxygen voxels
+     ModelInitializer::InitializeSubstance(
+        kGlucose, [initial_glucose_level, min_initial_z_substances, max_initial_z_substances, is_tumor_shape_spherical, is_tumor_shape_cylindrical, squared_radius_glucose_initialization](real_t x, real_t y, real_t z) {
+        if (z <= max_initial_z_substances &&
+            z >= min_initial_z_substances) { 
+            if(is_tumor_shape_spherical && (x*x + y*y + z*z <= squared_radius_glucose_initialization)){
+                // Its spherical and the voxel is within the maximun spherical radius
+                return initial_glucose_level;
+            } else if(is_tumor_shape_cylindrical && (x*x + y*y <= squared_radius_glucose_initialization)){
+                // Its cylindrical and the voxel is within the maximun cylindrical radius
+                return initial_glucose_level;
+            }
+            return initial_glucose_level;
+        }
+        return 0.0;
+        });
+  }
+  
   // Tumor cells initialization
-  const std::string tumor_shape = sparam->tumor_shape;
   std::vector<Real3> positions;
-  if (tumor_shape == "sphere") {
+  if (is_tumor_shape_spherical) {
     // One spherical tumor of radius initial_spherical_tumor_radius in the center of the
     // simulation space
     positions = CreateSphereOfTumorCells(sparam->initial_spherical_tumor_radius);
-  } else if (tumor_shape == "cylinder") {
+  } else if (is_tumor_shape_cylindrical) {
     // One cylindrical tumor of radius initial_spherical_tumor_radius and height
     // cylindrical_tumor_height in the center of the simulation space
     positions = CreateCylinderOfTumorCells(
diff --git a/src/cart_tumor.h b/src/cart_tumor.h
index a8646fa..83eb872 100644
--- a/src/cart_tumor.h
+++ b/src/cart_tumor.h
@@ -24,7 +24,7 @@
 namespace bdm {
 
 /// List the diffused substances
-enum Substances { kImmunostimulatoryFactor, kOxygen };
+enum Substances { kImmunostimulatoryFactor, kOxygen , kGlucose};
 
 /// Function declaration for the main simulation
 int Simulate(int argc, const char** argv);
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index fa26d33..0d393c5 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -146,19 +146,52 @@ void SimParam::LoadParams(const std::string& filename) {
               reduction_consumption_dead_cells);
   load_int("resolution_grid_substances", resolution_grid_substances);
 
-  load_double("lateral_oxygen_production_min_z",
-              lateral_oxygen_production_min_z);
+  if (jfile.contains("min_initial_z_substances")) {
+    min_initial_z_substances = jfile["min_initial_z_substances"].get<double>();
+  } else {
+    min_initial_z_substances = -bounded_space_length/2;
+  }
+
+  if (jfile.contains("max_initial_z_substances")) {
+    max_initial_z_substances = jfile["max_initial_z_substances"].get<double>();
+  } else {
+    max_initial_z_substances = -bounded_space_length/2;
+  }
+
+  if (jfile.contains("lateral_oxygen_production_min_z")) {
+    lateral_oxygen_production_min_z = jfile["lateral_oxygen_production_min_z"].get<double>();
+  } else {
+    lateral_oxygen_production_min_z = -bounded_space_length/2;
+  }
 
+  if (jfile.contains("lateral_oxygen_production_max_z")) {
+    lateral_oxygen_production_max_z = jfile["lateral_oxygen_production_max_z"].get<double>();
+  } else {
+    lateral_oxygen_production_max_z = -bounded_space_length/2;
+  }
   load_bool("diffuse_on_z_axis", diffuse_on_z_axis);
 
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
   load_double("decay_constant_oxygen", decay_constant_oxygen);
+  load_double("oxygen_reference_level", oxygen_reference_level);
+  load_double("initial_oxygen_level", initial_oxygen_level);
+  load_bool("add_immunostimulatory_factor", add_immunostimulatory_factor);
   load_double("diffusion_coefficient_immunostimulatory_factor",
               diffusion_coefficient_immunostimulatory_factor);
   load_double("decay_constant_immunostimulatory_factor",
               decay_constant_immunostimulatory_factor);
-  load_double("oxygen_reference_level", oxygen_reference_level);
-  load_double("initial_oxygen_level", initial_oxygen_level);
+  load_bool("add_glucose", add_glucose);
+  load_double("diffusion_coefficient_glucose", diffusion_coefficient_glucose);
+  load_double("decay_constant_glucose", decay_constant_glucose);
+  load_double("initial_glucose_level", initial_glucose_level);
+
+  if (jfile.contains("max_radius_glucose_initialization")) {
+    max_radius_glucose_initialization = jfile["max_radius_glucose_initialization"].get<double>();
+  } else {
+    max_radius_glucose_initialization = bounded_space_length;
+  }
+
+
 
   if (jfile.contains("diffuse_on_z_axis")) {
     diffuse_on_z_axis = jfile["diffuse_on_z_axis"].get<bool>();
@@ -227,6 +260,8 @@ void SimParam::LoadParams(const std::string& filename) {
 
   load_double("default_oxygen_consumption_tumor_cell",
               default_oxygen_consumption_tumor_cell);
+  load_double("default_glucose_consumption_tumor_cell",
+              default_glucose_consumption_tumor_cell);
   load_double("default_volume_new_tumor_cell", default_volume_new_tumor_cell);
   load_double("default_volume_nucleus_tumor_cell",
               default_volume_nucleus_tumor_cell);
@@ -280,6 +315,8 @@ void SimParam::LoadParams(const std::string& filename) {
 
   load_double("default_oxygen_consumption_cart",
               default_oxygen_consumption_cart);
+  load_double("default_glucose_consumption_cart",
+              default_glucose_consumption_cart);
   load_double("default_volume_new_cart_cell", default_volume_new_cart_cell);
   load_double("kill_rate_cart", kill_rate_cart);
   load_double("adhesion_rate_cart", adhesion_rate_cart);
@@ -440,6 +477,10 @@ void SimParam::PrintParams() const {
   std::cout << "///\n\n";
   std::cout << "Number of voxels per axis for the substances grid: "
             << resolution_grid_substances << "\n";
+  std::cout << "Minimum initial z-coordinate for substances values different than 0 (micrometers): "
+            << min_initial_z_substances << "\n";
+  std::cout << "Maximum initial z-coordinate for substances values different than 0 (micrometers): "
+            << max_initial_z_substances << "\n";
   std::cout << "Minimum z-coordinate for lateral oxygen production (micrometers): "
             << lateral_oxygen_production_min_z << "\n";
   std::cout << "Maximum z-coordinate for lateral oxygen production (micrometers): "
@@ -450,14 +491,26 @@ void SimParam::PrintParams() const {
             << diffusion_coefficient_oxygen << "\n";
   std::cout << "Decay constant of oxygen (min⁻¹): " << decay_constant_oxygen
             << "\n";
-  std::cout << "Diffusion coefficient of immunostimulatory factor (μm²/min): "
-            << diffusion_coefficient_immunostimulatory_factor << "\n";
-  std::cout << "Decay constant of immunostimulatory factor (min⁻¹): "
-            << decay_constant_immunostimulatory_factor << "\n";
   std::cout << "Reference level of oxygen at the boundaries (mmHg): "
             << oxygen_reference_level << "\n";
   std::cout << "Initial oxygen concentration in each voxel (mmHg): "
             << initial_oxygen_level << "\n";
+  std::cout << "Whether to add immunostimulatory factor: " <<
+            (add_immunostimulatory_factor ? "true" : "false") << "\n";
+  std::cout << "Diffusion coefficient of immunostimulatory factor (μm²/min): "
+            << diffusion_coefficient_immunostimulatory_factor << "\n";
+  std::cout << "Decay constant of immunostimulatory factor (min⁻¹): "
+            << decay_constant_immunostimulatory_factor << "\n";
+  std::cout << "Whether to add glucose: " <<
+            (add_glucose ? "true" : "false") << "\n";
+  std::cout << "Diffusion coefficient of glucose (μm²/min): "
+            << diffusion_coefficient_glucose << "\n";
+  std::cout << "Decay constant of glucose (min⁻¹): " 
+            << decay_constant_glucose << "\n";
+  std::cout << "Initial glucose concentration in each voxel (mM): " 
+            << initial_glucose_level << "\n\n";
+  std::cout << "Maximum radius for glucose initialization (micrometers): "
+            << max_radius_glucose_initialization << "\n\n";
 
   /// Forces
   ///
@@ -527,6 +580,8 @@ void SimParam::PrintParams() const {
             << maximum_necrosis_rate << "\n";
   std::cout << "Default oxygen consumption rate of tumor cell: "
             << default_oxygen_consumption_tumor_cell << "\n";
+  std::cout << "Default glucose consumption rate of tumor cell: "
+            << default_glucose_consumption_tumor_cell << "\n";
 
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new tumor cell (μm³): "
@@ -600,6 +655,8 @@ void SimParam::PrintParams() const {
             << average_maximum_time_untill_apoptosis_cart << "\n";
   std::cout << "Default oxygen consumption rate of CAR-T cell: "
             << default_oxygen_consumption_cart << "\n";
+  std::cout << "Default glucose consumption rate of CAR-T cell: " 
+            << default_glucose_consumption_cart << "\n";
 
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new CAR-T cell (μm³): "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 91dc264..fc765d6 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -161,12 +161,22 @@ struct SimParam : public ParamGroup {
   ///  Number of voxels per axis for the substances grid
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int resolution_grid_substances = 50;
+
+  /// Minimum height (μm) at which the substances grid is initialized to a value different from 0. Heights are expressed in the simulation coordinate system,
+  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2  By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t min_initial_z_substances = -500;
+  /// Maximum height (μm) at which the substances grid is initialized to a value different from 0. Heights are expressed in the simulation coordinate system,
+  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2  By default it is automatically set to +bounded_space_length/2 to avoid any restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t max_initial_z_substances = 500;
+
   /// Minimum height (μm) at which lateral Dirichlet oxygen boundary conditions
   /// are applied. Heights are expressed in the simulation coordinate system,
   /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
   /// along the z-axis. Setting this value equal to the minimum domain height
   /// (-bounded_space_length / 2) causes the floor boundary (z = -bounded_space_length / 2)
-  /// to also act as an oxygen-producing Dirichlet boundary.
+  /// to also act as an oxygen-producing Dirichlet boundary.  By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_min_z = -500.0;
   /// Maximum height (μm) at which lateral Dirichlet oxygen boundary conditions
@@ -174,7 +184,7 @@ struct SimParam : public ParamGroup {
   /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
   /// along the z-axis. Setting this value equal to the maximum domain height
   /// (+bounded_space_length / 2) causes the roof boundary (z = +bounded_space_length / 2)
-  /// to also act as an oxygen-producing Dirichlet boundary.
+  /// to also act as an oxygen-producing Dirichlet boundary.  By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_max_z = 500.0;
   /// Wether the Thomas algortithm should also diffuse the Chemicals in the z-axis or not. 
@@ -187,19 +197,37 @@ struct SimParam : public ParamGroup {
   /// Decay constant of oxygen in min⁻¹
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t decay_constant_oxygen = 0.1;
+  /// Reference level of oxygen at the boundaries in mmHg
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t oxygen_reference_level = 38;
+  /// Initial oxygen concentration in each voxel in mmHg
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t initial_oxygen_level = 38;
+  /// Wether to add immunostimulatory factor grid or not
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool add_immunostimulatory_factor = true;
   /// Diffusion coefficient of immunostimulatory factor in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_immunostimulatory_factor = 1000;
   /// Decay constant of immunostimulatory factor in min⁻¹
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t decay_constant_immunostimulatory_factor = 0.016;
-  /// Reference level of oxygen at the boundaries in mmHg
+  /// Wether to add glucose gradient grid or not
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t oxygen_reference_level = 38;
-  /// Initial oxygen concentration in each voxel in mmHg
+  bool add_glucose = false;
+  /// Diffusion coefficient of immunostimulatory factor in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t initial_oxygen_level = 38;
+  real_t diffusion_coefficient_glucose = 7800;
+  /// Decay constant of immunostimulatory factor in min⁻¹
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t decay_constant_glucose = 0.01;
+  /// Initial glucose concentration in each voxel in mmol/L
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t initial_glucose_level = 24.98;
 
+    /// Maximum radius for glucose initialization in micrometers. If the tumor is spherical, the glucose will be initialized in a sphere of this radius. If the tumor is cylindrical, the glucose will be initialized in a cylinder of this radius. Outside of this radius, the glucose will be initialized to 0. By default it is set to the bounded_space_length to avoid any restrictions.
+  real_t max_radius_glucose_initialization = 1000;
+  
   /// Forces
   ///  Repulsion coeficient between tumor cells
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
@@ -294,6 +322,9 @@ struct SimParam : public ParamGroup {
   /// Default oxygen consumption rate of tumor cell
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_oxygen_consumption_tumor_cell = 10;
+  /// Default glucose consumption rate of tumor cell
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t default_glucose_consumption_tumor_cell = 0.0007;
   /// Volume parameters
   /// Default total volume of a new tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
@@ -371,6 +402,9 @@ struct SimParam : public ParamGroup {
   /// Default oxygen consumption rate of CAR-T cell
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_oxygen_consumption_cart = 1;
+  /// Default glucose consumption rate of CAR-T cell
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t default_glucose_consumption_cart = 0.0007;
   /// Volume parameters
   ///  Default total volume of a new CAR-T cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index d78d6a9..8db86e1 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -121,9 +121,9 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 
 // Function to compute the number of tumor cells of each type, the radius of the
 // tumor, the number of alive and dead cart cells, the average oncoprotein level, the average oxygen level of the
-// cancer cells and the average oxygen level of all cells. Only considering cells within the specified inner and outer radius.
+// cancer cells, the average oxygen level of all cells, the average glucose level of the cancer cells and the average glucose level of all cells. Only considering cells within the specified inner and outer radius.
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t>
+           real_t, real_t, real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t inner_radius_squared = inner_radius_considered * inner_radius_considered;
   real_t outer_radius_squared = outer_radius_considered * outer_radius_considered;
@@ -133,6 +133,12 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   DiffusionGrid* oxygen_dgrid = rm->GetDiffusionGrid("oxygen");
   const auto* sparams = sim->GetParam()->Get<SimParam>(); 
 
+  // Pointer to glucose diffusion grid only if it is added in the simulation
+  DiffusionGrid* glucose_dgrid = nullptr;
+  if (sparams->add_glucose) {
+    glucose_dgrid = rm->GetDiffusionGrid("glucose");
+  }
+
   int total_num_tumor_cells = 0;
   int num_tumor_cells_type1 = 0;
   int num_tumor_cells_type2 = 0;
@@ -146,6 +152,8 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t acumulator_oncoprotein = 0.0;
   real_t acumulator_oxygen_cancer_cells = 0.0;
   real_t acumulator_oxygen_all_cells = 0.0;
+  real_t acumulator_glucose_cancer_cells = 0.0;
+  real_t acumulator_glucose_all_cells = 0.0;
 
   bool tumor_shape_is_cylindrical = sparams->tumor_shape == "cylinder";
   bool tumor_shape_is_spherical = sparams->tumor_shape == "sphere";
@@ -180,6 +188,11 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_cancer_cells += oxygen_dgrid->GetValue(pos);
 
+      if (glucose_dgrid!= nullptr) {
+        // Accumulate glucose level for average calculation
+        acumulator_glucose_all_cells += glucose_dgrid->GetValue(pos);
+        acumulator_glucose_cancer_cells += glucose_dgrid->GetValue(pos);
+      }
 
       // computing tumor radius
       if (dist_sq > max_dist_sq) {
@@ -212,13 +225,15 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
           break;
       }
     } else if (const auto* cart_cell = dynamic_cast<const CarTCell*>(agent)) {
+      // Accumulate oxygen level for average calculation
+      acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
+      if (glucose_dgrid!= nullptr) {
+        // Accumulate glucose level for average calculation
+        acumulator_glucose_all_cells += glucose_dgrid->GetValue(pos);
+      }
       if (cart_cell->GetState() == CarTCellState::kAlive) {
-        // Accumulate oxygen level for average calculation
-        acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
         num_alive_cart++;
       } else if (cart_cell->GetState() == CarTCellState::kApoptotic) {
-        // Accumulate oxygen level for average calculation
-        acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
         //Dead CART cell
         num_dead_cart++;
       }
@@ -237,11 +252,20 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0)
           ? (acumulator_oxygen_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
           : 0.0;
+  const real_t average_glucose_cancer_cells =
+      (total_num_tumor_cells > 0 && glucose_dgrid != nullptr)
+          ? (acumulator_glucose_cancer_cells / total_num_tumor_cells)
+          : 0.0;
+  const real_t average_glucose_all_cells =
+      (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0 && glucose_dgrid != nullptr)
+          ? (acumulator_glucose_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
+          : 0.0;
   return {total_num_tumor_cells, num_tumor_cells_type1,
           num_tumor_cells_type2, num_tumor_cells_type3,
           num_tumor_cells_type4, num_tumor_cells_type5_dead,
           num_alive_cart, num_dead_cart, std::sqrt(max_dist_sq),
-          average_oncoprotein,   average_oxygen_cancer_cells, average_oxygen_all_cells};
+          average_oncoprotein,   average_oxygen_cancer_cells, average_oxygen_all_cells,
+          average_glucose_cancer_cells, average_glucose_all_cells};
 }
 
 // Function to output summary CSV
@@ -266,7 +290,7 @@ void OutputSummary::operator()() {
             << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
                "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
                "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_"
-               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells\n";  // Header
+               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells\n";  // Header
                                                                           // for
                                                                           // CSV
                                                                           // file
@@ -285,12 +309,14 @@ void OutputSummary::operator()() {
       real_t average_oncoprotein = 0.0;
       real_t average_oxygen_cancer_cells = 0.0;
       real_t average_oxygen_all_cells = 0.0;
+      real_t average_glucose_cancer_cells = 0.0;
+      real_t average_glucose_all_cells = 0.0;
       // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
                num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-               average_oxygen_cancer_cells, average_oxygen_all_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
+               average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
       size_t total_num_cells = simulation->GetResourceManager()->GetNumAgents();
 
       // If a dosage is administred this exact time the numbers are not seen in
@@ -314,7 +340,8 @@ void OutputSummary::operator()() {
            << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
            << num_alive_cart << ","<< num_dead_cart << "," << average_oncoprotein << ","
-           << average_oxygen_cancer_cells << "," << average_oxygen_all_cells << "\n";
+           << average_oxygen_cancer_cells << "," << average_oxygen_all_cells << "," 
+           << average_glucose_cancer_cells << "," << average_glucose_all_cells << "\n";
     }
 
     if (sparams->output_information_dependent_on_radius) {
@@ -351,7 +378,9 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
         file << ",tumor_cells_type5_dead_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
         file << ",average_oncoprotein_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
         file << ",average_oxygen_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",average_oxygen_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;  
+        file << ",average_oxygen_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
+        file << ",average_glucose_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",average_glucose_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
       }
       // End of header line
       file << "\n";
@@ -378,12 +407,14 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
       real_t average_oncoprotein = 0.0;
       real_t average_oxygen_cancer_cells = 0.0;
       real_t average_oxygen_all_cells = 0.0;
+      real_t average_glucose_cancer_cells = 0.0;
+      real_t average_glucose_all_cells = 0.0;
       // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
               num_tumor_cells_type2, num_tumor_cells_type3,
               num_tumor_cells_type4, num_tumor_cells_type5_dead,
               num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-              average_oxygen_cancer_cells, average_oxygen_all_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
+              average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
 
       const int num_alive_tumor_cells = num_tumor_cells_type1 + num_tumor_cells_type2 + num_tumor_cells_type3 + num_tumor_cells_type4;
       const int num_alive_cells = num_alive_cart + num_alive_tumor_cells;
@@ -405,7 +436,9 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
             << "," << num_tumor_cells_type5_dead
             << "," << average_oncoprotein
             << "," << average_oxygen_cancer_cells
-            << "," << average_oxygen_all_cells;
+            << "," << average_oxygen_all_cells
+            << "," << average_glucose_cancer_cells
+            << "," << average_glucose_all_cells;
     }  
     // End of line for the current step
     file << "\n";
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index 6a82ff5..9de9604 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -88,8 +88,10 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 ///   - Average oncoprotein level across all tumor cells
 ///   - Average oxygen level across all tumor cells
 ///   - Average oxygen level across all cells
+///   - Average glucose level across all tumor cells
+///   - Average glucose level across all cells
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t>
+           real_t, real_t, real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered);
 
 /// Generates a random direction unitary vector

From c8d33941da5830b85e25fe90feb3841ce2003cca Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 5 Aug 2026 21:17:53 +0200
Subject: [PATCH 27/54] add necrosis probability dempendent on glucose levels

---
 README.md                                     |   2 +-
 .../experiment_31/optuna_results.csv          |  98 ++++++++++++++++++
 abm_calibration/optimize.py                   |  50 ++++-----
 draft/analysis_radius_atribute.py             |   2 +-
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 36166 -> 36281 bytes
 draft/config_after_midterm.json               |   3 +-
 draft/config_with_aging_factor.json           |   2 +-
 draft/config_without_aging_factor.json        |   2 +-
 draft/experimentation.py                      |   3 +-
 draft/generatecsv.py                          |   2 +-
 .../data_dependent_on_radius_tumor.csv        |  74 +++++++++++++
 draft/values_glucose_with_cup/final_data.csv  |  74 +++++++++++++
 params.json                                   |  10 +-
 src/agents/tumor_cell.cc                      |  61 +++++++----
 src/agents/tumor_cell.h                       |   5 +-
 src/params/hyperparams.cc                     |   9 +-
 src/params/hyperparams.h                      |  28 ++---
 17 files changed, 345 insertions(+), 80 deletions(-)
 create mode 100644 abm_calibration/experiment_31/optuna_results.csv
 create mode 100644 draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
 create mode 100644 draft/values_glucose_with_cup/final_data.csv

diff --git a/README.md b/README.md
index c12c572..5e19280 100644
--- a/README.md
+++ b/README.md
@@ -325,7 +325,7 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | `oxygen_limit_for_necrosis` | 5 | mmHg | Oxygen level below which necrosis begins |
 | `oxygen_limit_for_necrosis_maximum` | 2.5 | mmHg | Oxygen level for maximum necrosis probability |
 | `time_lysis` | 86400 | minutes | Time until lysed necrotic cell removal |
-| `maximum_necrosis_rate` | 0.00277778 | min⁻¹ | Maximum necrosis rate at 0 oxygen (1/360 min⁻¹) |
+| `maximum_necrosis_lack_of_oxygen_rate` | 0.00277778 | min⁻¹ | Maximum necrosis rate at 0 oxygen (1/360 min⁻¹) |
 | `default_oxygen_consumption_tumor_cell` | 10 | 1/min | Baseline oxygen consumption rate of tumor cells |
 | `default_volume_new_tumor_cell` | 2494 | μm³ | Total volume of newly created tumor cell |
 | `default_volume_nucleus_tumor_cell` | 540 | μm³ | Nuclear volume of newly created tumor cell |
diff --git a/abm_calibration/experiment_31/optuna_results.csv b/abm_calibration/experiment_31/optuna_results.csv
new file mode 100644
index 0000000..6bec259
--- /dev/null
+++ b/abm_calibration/experiment_31/optuna_results.csv
@@ -0,0 +1,98 @@
+number,value,datetime_start,datetime_complete,duration,params_basal_necrosis_probability_cancer_cells,state
+0,20.0,2026-08-05 17:20:38.698930,2026-08-05 17:22:18.910257,0 days 00:01:40.211327,4.7e-06,COMPLETE
+1,29.666666666666668,2026-08-05 17:22:18.939365,2026-08-05 17:23:57.575722,0 days 00:01:38.636357,5.899999999999999e-06,COMPLETE
+2,27.0,2026-08-05 17:23:57.600820,2026-08-05 17:25:35.089137,0 days 00:01:37.488317,5.5e-06,COMPLETE
+3,17.0,2026-08-05 17:25:35.113987,2026-08-05 17:27:13.748540,0 days 00:01:38.634553,5.199999999999999e-06,COMPLETE
+4,27.333333333333332,2026-08-05 17:27:13.773868,2026-08-05 17:28:51.238018,0 days 00:01:37.464150,4.2999999999999995e-06,COMPLETE
+5,38.333333333333336,2026-08-05 17:28:51.266146,2026-08-05 17:30:34.819715,0 days 00:01:43.553569,4.2999999999999995e-06,COMPLETE
+6,28.666666666666668,2026-08-05 17:30:34.844376,2026-08-05 17:32:13.307650,0 days 00:01:38.463274,4.1e-06,COMPLETE
+7,34.0,2026-08-05 17:32:13.338163,2026-08-05 17:33:48.120415,0 days 00:01:34.782252,5.7999999999999995e-06,COMPLETE
+8,27.666666666666668,2026-08-05 17:33:48.144404,2026-08-05 17:35:21.560684,0 days 00:01:33.416280,5.199999999999999e-06,COMPLETE
+9,28.666666666666668,2026-08-05 17:35:21.585337,2026-08-05 17:36:54.389493,0 days 00:01:32.804156,5.4e-06,COMPLETE
+10,4.333333333333333,2026-08-05 17:36:54.415422,2026-08-05 17:38:28.793672,0 days 00:01:34.378250,4.9e-06,COMPLETE
+11,3.6666666666666665,2026-08-05 17:38:28.822492,2026-08-05 17:40:01.965196,0 days 00:01:33.142704,4.9e-06,COMPLETE
+12,9.333333333333334,2026-08-05 17:40:01.990619,2026-08-05 17:41:34.792095,0 days 00:01:32.801476,4.8e-06,COMPLETE
+13,13.333333333333334,2026-08-05 17:41:34.817016,2026-08-05 17:43:07.194628,0 days 00:01:32.377612,4.8e-06,COMPLETE
+14,17.333333333333332,2026-08-05 17:43:07.218256,2026-08-05 17:44:40.127832,0 days 00:01:32.909576,4.6e-06,COMPLETE
+15,17.666666666666668,2026-08-05 17:44:40.154527,2026-08-05 17:46:13.284361,0 days 00:01:33.129834,4.9999999999999996e-06,COMPLETE
+16,18.0,2026-08-05 17:46:13.313901,2026-08-05 17:47:46.258391,0 days 00:01:32.944490,4.5e-06,COMPLETE
+17,8.666666666666666,2026-08-05 17:47:46.282036,2026-08-05 17:49:19.241663,0 days 00:01:32.959627,4.9999999999999996e-06,COMPLETE
+18,16.666666666666668,2026-08-05 17:49:19.271178,2026-08-05 17:50:51.060292,0 days 00:01:31.789114,5.6e-06,COMPLETE
+19,9.333333333333334,2026-08-05 17:50:51.086571,2026-08-05 17:52:24.627132,0 days 00:01:33.540561,4.9999999999999996e-06,COMPLETE
+20,29.0,2026-08-05 17:52:24.651374,2026-08-05 17:53:57.503912,0 days 00:01:32.852538,5.199999999999999e-06,COMPLETE
+21,8.333333333333334,2026-08-05 17:53:57.527652,2026-08-05 17:55:36.364791,0 days 00:01:38.837139,4.9999999999999996e-06,COMPLETE
+22,5.333333333333333,2026-08-05 17:55:36.388523,2026-08-05 17:57:08.965121,0 days 00:01:32.576598,4.9e-06,COMPLETE
+23,25.333333333333332,2026-08-05 17:57:08.989229,2026-08-05 17:58:41.608620,0 days 00:01:32.619391,4.5e-06,COMPLETE
+24,5.666666666666667,2026-08-05 17:58:41.633068,2026-08-05 18:00:15.289303,0 days 00:01:33.656235,4.8e-06,COMPLETE
+25,30.666666666666668,2026-08-05 18:00:15.315282,2026-08-05 18:01:47.743344,0 days 00:01:32.428062,5.3e-06,COMPLETE
+26,4.666666666666667,2026-08-05 18:01:47.767858,2026-08-05 18:03:21.080276,0 days 00:01:33.312418,4.9e-06,COMPLETE
+27,21.666666666666668,2026-08-05 18:03:21.104900,2026-08-05 18:04:53.513519,0 days 00:01:32.408619,4.4e-06,COMPLETE
+28,33.333333333333336,2026-08-05 18:04:53.538401,2026-08-05 18:06:26.452395,0 days 00:01:32.913994,4.1e-06,COMPLETE
+29,5.333333333333333,2026-08-05 18:06:26.476683,2026-08-05 18:07:58.444355,0 days 00:01:31.967672,4.7e-06,COMPLETE
+30,23.333333333333332,2026-08-05 18:07:58.469439,2026-08-05 18:09:31.137565,0 days 00:01:32.668126,4.6e-06,COMPLETE
+31,19.333333333333332,2026-08-05 18:09:31.167883,2026-08-05 18:11:03.946173,0 days 00:01:32.778290,4.9e-06,COMPLETE
+32,9.666666666666666,2026-08-05 18:11:03.976711,2026-08-05 18:12:37.207257,0 days 00:01:33.230546,4.9e-06,COMPLETE
+33,17.0,2026-08-05 18:12:37.231304,2026-08-05 18:14:10.819318,0 days 00:01:33.588014,5.1e-06,COMPLETE
+34,7.666666666666667,2026-08-05 18:14:10.846147,2026-08-05 18:15:43.610004,0 days 00:01:32.763857,4.7e-06,COMPLETE
+35,16.333333333333332,2026-08-05 18:15:43.634321,2026-08-05 18:17:17.369050,0 days 00:01:33.734729,5.5e-06,COMPLETE
+36,15.0,2026-08-05 18:17:17.394135,2026-08-05 18:18:51.303505,0 days 00:01:33.909370,5.1e-06,COMPLETE
+37,12.666666666666666,2026-08-05 18:18:51.327966,2026-08-05 18:20:24.551757,0 days 00:01:33.223791,4.9e-06,COMPLETE
+38,9.333333333333334,2026-08-05 18:20:24.577991,2026-08-05 18:21:57.061006,0 days 00:01:32.483015,5.3e-06,COMPLETE
+39,13.666666666666666,2026-08-05 18:21:57.089809,2026-08-05 18:23:29.993097,0 days 00:01:32.903288,4.6e-06,COMPLETE
+40,56.0,2026-08-05 18:23:30.018384,2026-08-05 18:25:03.001466,0 days 00:01:32.983082,6e-06,COMPLETE
+41,15.333333333333334,2026-08-05 18:25:03.026593,2026-08-05 18:26:36.171249,0 days 00:01:33.144656,4.7e-06,COMPLETE
+42,14.0,2026-08-05 18:26:36.194890,2026-08-05 18:28:09.730763,0 days 00:01:33.535873,4.7e-06,COMPLETE
+43,14.333333333333334,2026-08-05 18:28:09.754698,2026-08-05 18:29:43.636124,0 days 00:01:33.881426,5.1e-06,COMPLETE
+44,4.0,2026-08-05 18:29:43.661413,2026-08-05 18:31:16.876510,0 days 00:01:33.215097,4.8e-06,COMPLETE
+45,8.333333333333334,2026-08-05 18:31:16.900583,2026-08-05 18:32:49.807258,0 days 00:01:32.906675,4.8e-06,COMPLETE
+46,8.0,2026-08-05 18:32:49.831696,2026-08-05 18:34:22.401932,0 days 00:01:32.570236,4.9e-06,COMPLETE
+47,23.666666666666668,2026-08-05 18:34:22.426083,2026-08-05 18:35:55.709183,0 days 00:01:33.283100,4.2999999999999995e-06,COMPLETE
+48,17.666666666666668,2026-08-05 18:35:55.732507,2026-08-05 18:37:28.689010,0 days 00:01:32.956503,5.199999999999999e-06,COMPLETE
+49,16.666666666666668,2026-08-05 18:37:28.712922,2026-08-05 18:39:01.228466,0 days 00:01:32.515544,4.8e-06,COMPLETE
+50,30.0,2026-08-05 18:39:01.254350,2026-08-05 18:40:35.910092,0 days 00:01:34.655742,4.5e-06,COMPLETE
+51,10.0,2026-08-05 18:40:35.935992,2026-08-05 18:42:09.223158,0 days 00:01:33.287166,4.7e-06,COMPLETE
+52,11.333333333333334,2026-08-05 18:42:09.246703,2026-08-05 18:43:42.939710,0 days 00:01:33.693007,4.9e-06,COMPLETE
+53,17.666666666666668,2026-08-05 18:43:42.963888,2026-08-05 18:45:20.778355,0 days 00:01:37.814467,4.9999999999999996e-06,COMPLETE
+54,14.0,2026-08-05 18:45:20.802715,2026-08-05 18:46:53.726219,0 days 00:01:32.923504,5.1e-06,COMPLETE
+55,19.333333333333332,2026-08-05 18:46:53.750604,2026-08-05 18:48:26.555638,0 days 00:01:32.805034,4.6e-06,COMPLETE
+56,9.333333333333334,2026-08-05 18:48:26.580099,2026-08-05 18:49:59.692055,0 days 00:01:33.111956,4.9999999999999996e-06,COMPLETE
+57,9.0,2026-08-05 18:49:59.725063,2026-08-05 18:51:32.582203,0 days 00:01:32.857140,4.8e-06,COMPLETE
+58,16.0,2026-08-05 18:51:32.606175,2026-08-05 18:53:05.569769,0 days 00:01:32.963594,4.8e-06,COMPLETE
+59,23.0,2026-08-05 18:53:05.594518,2026-08-05 18:54:37.363233,0 days 00:01:31.768715,4.4e-06,COMPLETE
+60,17.666666666666668,2026-08-05 18:54:37.388310,2026-08-05 18:56:09.905243,0 days 00:01:32.516933,5.3e-06,COMPLETE
+61,12.666666666666666,2026-08-05 18:56:09.929081,2026-08-05 18:57:42.878711,0 days 00:01:32.949630,4.7e-06,COMPLETE
+62,7.666666666666667,2026-08-05 18:57:42.903777,2026-08-05 18:59:16.099350,0 days 00:01:33.195573,4.9e-06,COMPLETE
+63,13.666666666666666,2026-08-05 18:59:16.123738,2026-08-05 19:00:47.738309,0 days 00:01:31.614571,4.8e-06,COMPLETE
+64,16.666666666666668,2026-08-05 19:00:47.766814,2026-08-05 19:02:23.620592,0 days 00:01:35.853778,4.9999999999999996e-06,COMPLETE
+65,29.333333333333332,2026-08-05 19:02:23.645076,2026-08-05 19:03:59.934159,0 days 00:01:36.289083,4.5e-06,COMPLETE
+66,19.666666666666668,2026-08-05 19:03:59.964620,2026-08-05 19:05:31.023431,0 days 00:01:31.058811,4.6e-06,COMPLETE
+67,18.666666666666668,2026-08-05 19:05:31.088251,2026-08-05 19:07:01.595320,0 days 00:01:30.507069,4.9e-06,COMPLETE
+68,13.666666666666666,2026-08-05 19:07:01.705112,2026-08-05 19:08:31.699931,0 days 00:01:29.994819,4.7e-06,COMPLETE
+69,8.666666666666666,2026-08-05 19:08:31.723856,2026-08-05 19:10:01.971319,0 days 00:01:30.247463,5.1e-06,COMPLETE
+70,12.333333333333334,2026-08-05 19:10:01.995164,2026-08-05 19:11:32.439351,0 days 00:01:30.444187,4.8e-06,COMPLETE
+71,11.666666666666666,2026-08-05 19:11:32.504688,2026-08-05 19:13:02.249461,0 days 00:01:29.744773,4.7e-06,COMPLETE
+72,9.333333333333334,2026-08-05 19:13:02.320723,2026-08-05 19:14:33.398557,0 days 00:01:31.077834,4.9e-06,COMPLETE
+73,31.0,2026-08-05 19:14:33.442622,2026-08-05 19:16:03.983981,0 days 00:01:30.541359,4.6e-06,COMPLETE
+74,16.333333333333332,2026-08-05 19:16:04.008216,2026-08-05 19:17:34.351959,0 days 00:01:30.343743,4.9999999999999996e-06,COMPLETE
+75,11.333333333333334,2026-08-05 19:17:34.376980,2026-08-05 19:19:04.749346,0 days 00:01:30.372366,4.8e-06,COMPLETE
+76,10.333333333333334,2026-08-05 19:19:04.776284,2026-08-05 19:20:35.029464,0 days 00:01:30.253180,4.7e-06,COMPLETE
+77,18.333333333333332,2026-08-05 19:20:35.059884,2026-08-05 19:22:05.994779,0 days 00:01:30.934895,4.9e-06,COMPLETE
+78,12.333333333333334,2026-08-05 19:22:06.019540,2026-08-05 19:23:36.788457,0 days 00:01:30.768917,4.6e-06,COMPLETE
+79,20.333333333333332,2026-08-05 19:23:36.811826,2026-08-05 19:25:05.825193,0 days 00:01:29.013367,5.7e-06,COMPLETE
+80,41.333333333333336,2026-08-05 19:25:05.848689,2026-08-05 19:26:36.076113,0 days 00:01:30.227424,4e-06,COMPLETE
+81,5.0,2026-08-05 19:26:36.099641,2026-08-05 19:28:05.594210,0 days 00:01:29.494569,4.9e-06,COMPLETE
+82,9.666666666666666,2026-08-05 19:28:05.619345,2026-08-05 19:29:36.140728,0 days 00:01:30.521383,4.9999999999999996e-06,COMPLETE
+83,20.0,2026-08-05 19:29:36.164259,2026-08-05 19:31:06.887312,0 days 00:01:30.723053,4.8e-06,COMPLETE
+84,9.666666666666666,2026-08-05 19:31:06.945834,2026-08-05 19:32:37.461370,0 days 00:01:30.515536,4.7e-06,COMPLETE
+85,22.333333333333332,2026-08-05 19:32:37.494764,2026-08-05 19:34:08.695954,0 days 00:01:31.201190,5.199999999999999e-06,COMPLETE
+86,32.666666666666664,2026-08-05 19:34:08.725658,2026-08-05 19:35:44.718414,0 days 00:01:35.992756,4.4e-06,COMPLETE
+87,13.0,2026-08-05 19:35:44.813008,2026-08-05 19:37:15.235435,0 days 00:01:30.422427,4.9e-06,COMPLETE
+88,11.666666666666666,2026-08-05 19:37:15.339105,2026-08-05 19:38:45.977834,0 days 00:01:30.638729,5.1e-06,COMPLETE
+89,7.333333333333333,2026-08-05 19:38:46.001938,2026-08-05 19:40:16.607164,0 days 00:01:30.605226,4.8e-06,COMPLETE
+90,9.666666666666666,2026-08-05 19:40:16.701643,2026-08-05 19:41:46.324308,0 days 00:01:29.622665,4.8e-06,COMPLETE
+91,5.666666666666667,2026-08-05 19:41:46.394034,2026-08-05 19:43:16.897123,0 days 00:01:30.503089,4.9e-06,COMPLETE
+92,8.0,2026-08-05 19:43:16.983928,2026-08-05 19:44:47.809106,0 days 00:01:30.825178,4.9999999999999996e-06,COMPLETE
+93,15.0,2026-08-05 19:44:47.873966,2026-08-05 19:46:18.931959,0 days 00:01:31.057993,4.9e-06,COMPLETE
+94,13.333333333333334,2026-08-05 19:46:19.058102,2026-08-05 19:47:48.868148,0 days 00:01:29.810046,4.9999999999999996e-06,COMPLETE
+95,16.333333333333332,2026-08-05 19:47:48.892833,2026-08-05 19:49:40.743266,0 days 00:01:51.850433,4.8e-06,COMPLETE
+96,,2026-08-05 19:49:40.772343,2026-08-05 19:50:07.061580,0 days 00:00:26.289237,4.9e-06,FAIL
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index ba089a9..981283c 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 30
+EXPERIMENT_ID = 31
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 1000000
+NUMBER_OF_TRIALS = 0
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
+NUMBER_MONTE_CARLO = 3
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -59,14 +59,11 @@ def run_ABM(params, seed):
     #     "basal_necrosis_probability_cancer_cells"
     # ]
 
-    # nutrient_starvation_factor_cancer_cells = params[
-    #     "nutrient_starvation_factor_cancer_cells"
-    # # ]
     # oxygen_limit_for_proliferation = params[
     #     "oxygen_limit_for_proliferation"
     # ]
-    default_glucose_consumption_tumor_cell = params[
-        "default_glucose_consumption_tumor_cell"
+    basal_necrosis_probability_cancer_cells = params[
+        "basal_necrosis_probability_cancer_cells"
     ]
     # oxygen_saturation_for_proliferation = params[
     #     "oxygen_saturation_for_proliferation"
@@ -74,7 +71,7 @@ def run_ABM(params, seed):
 
     # Change this configuration for the ABM run
     config = {
-  "seed": 42,
+  "seed": seed,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -82,7 +79,7 @@ def run_ABM(params, seed):
   "max_initial_z_substances": 300.0,
   "diffuse_on_z_axis": False,
   "output_performance_statistics": False,
-  "total_minutes_to_simulate": 4320,
+  "total_minutes_to_simulate": 1440,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
@@ -90,7 +87,7 @@ def run_ABM(params, seed):
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
   "default_volume_new_cart_cell": 269.0,
   "oncoprotein_mean": 1.0,
@@ -107,25 +104,25 @@ def run_ABM(params, seed):
   },
   "average_time_transformation_random_rate": 72.0,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0.0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_rate": 0.0000216,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000166,
-  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
   "add_immunostimulatory_factor": False,
-  "add_glucose": True,
+  "add_glucose": False,
   "diffusion_coefficient_glucose": 7800,
   "decay_constant_glucose": 0.000001,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3000.0,
-  "default_glucose_consumption_tumor_cell": 1,
-  "default_glucose_consumption_cart": 0.0
+  "default_glucose_consumption_tumor_cell": 0.145,
+  "default_glucose_consumption_cart": 0.145,
+  "dt_substances": 4320
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -192,14 +189,14 @@ def compute_error():
     # target_tumor_cells_type5_dead_2880 = 350
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
-    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
-    average_glucose_all_cells_2880 = row["average_glucose_all_cells"]
-    target_average_glucose_all_cells_2880 = 5.5
+    row = df_s[df_s["total_minutes"] == 1440].iloc[0]
+    dead_cells_1440 = row["tumor_cells_type5_dead"]
+    dead_cells_1440_target = 200
     # total_tumor_cells_4320 = row["num_tumor_cells"]
     # target_total_tumor_cells_4320 = 38266
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(average_glucose_all_cells_2880 - target_average_glucose_all_cells_2880)
+    error_total_tumor_cells = abs(dead_cells_1440 - dead_cells_1440_target)
 
     return float(error_total_tumor_cells)
 
@@ -326,9 +323,8 @@ def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
-        # "maximum_necrosis_rate": trial.suggest_float("maximum_necrosis_rate", 0.00002, 0.000022, step=0.0000004),
-        "default_glucose_consumption_tumor_cell": trial.suggest_float("default_glucose_consumption_tumor_cell", 1.4, 1.6, step=0.04),
-        # "nutrient_starvation_factor_cancer_cells": trial.suggest_float("nutrient_starvation_factor_cancer_cells", 1.000501, 1.000609, step=0.000001),
+        # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
+        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000040, 0.0000060, step=0.0000001),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index d47058a..3e1282c 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -27,7 +27,7 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 2100 # change this to the minute you want to plot
+MINUTE = 2880 # change this to the minute you want to plot
 # MINUTE = 4320 # change this to the minute you want to plot
 ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
 ATTRIBUTE = "average_glucose_all_cells_radius"  # change this to the attribute you want to plot
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
index b94ab42abfd05ff04acc566d985701834582104e..dad3deabacf450eb7b21482e47a50071cefa4ba7 100644
GIT binary patch
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diff --git a/draft/config_after_midterm.json b/draft/config_after_midterm.json
index ac196dc..859c4b1 100644
--- a/draft/config_after_midterm.json
+++ b/draft/config_after_midterm.json
@@ -33,10 +33,9 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000166,
-  "nutrient_starvation_factor_cancer_cells": 1.00,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
diff --git a/draft/config_with_aging_factor.json b/draft/config_with_aging_factor.json
index 4174d66..c5eb724 100644
--- a/draft/config_with_aging_factor.json
+++ b/draft/config_with_aging_factor.json
@@ -31,7 +31,7 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_rate": 0.00002276,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.00002276,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000031,
   "nutrient_starvation_factor_cancer_cells": 1.000602
diff --git a/draft/config_without_aging_factor.json b/draft/config_without_aging_factor.json
index 0fb4b36..3d69e83 100644
--- a/draft/config_without_aging_factor.json
+++ b/draft/config_without_aging_factor.json
@@ -31,7 +31,7 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
   "basal_necrosis_probability_cancer_cells": 0.0000166,
   "nutrient_starvation_factor_cancer_cells": 1.00
diff --git a/draft/experimentation.py b/draft/experimentation.py
index 634c698..8635ee9 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -73,10 +73,9 @@ def run_ABM(seed):
     "oxygen_limit_for_proliferation": 5.9,
     "oxygen_limit_for_necrosis_maximum": 0.0,
     "oxygen_limit_for_necrosis": 45.0,
-    "maximum_necrosis_rate": 0.0000216,
+    "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
     "reduction_consumption_dead_cells": 0.0,
     "basal_necrosis_probability_cancer_cells": 0.0000166,
-    "nutrient_starvation_factor_cancer_cells": 1.00
     }
 
     # Save the config parameters for this run to the params.json file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index e144220..1096e96 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 30
+EXPERIMENT_ID = 31
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv b/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
new file mode 100644
index 0000000..23f6844
--- /dev/null
+++ b/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
@@ -0,0 +1,74 @@
+total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_150,num_dead_cells_radius_0_to_150,total_num_cells_radius_0_to_150,num_alive_tumor_cells_radius_0_to_150,total_num_tumor_cells_radius_0_to_150,num_alive_cart_cells_radius_0_to_150,num_dead_cart_cells_radius_0_to_150,tumor_cells_type1_radius_0_to_150,tumor_cells_type2_radius_0_to_150,tumor_cells_type3_radius_0_to_150,tumor_cells_type4_radius_0_to_150,tumor_cells_type5_dead_radius_0_to_150,average_oncoprotein_radius_0_to_150,average_oxygen_cancer_cells_radius_0_to_150,average_oxygen_all_cells_radius_0_to_150,average_glucose_cancer_cells_radius_0_to_150,average_glucose_all_cells_radius_0_to_150,num_alive_cells_radius_150_to_300,num_dead_cells_radius_150_to_300,total_num_cells_radius_150_to_300,num_alive_tumor_cells_radius_150_to_300,total_num_tumor_cells_radius_150_to_300,num_alive_cart_cells_radius_150_to_300,num_dead_cart_cells_radius_150_to_300,tumor_cells_type1_radius_150_to_300,tumor_cells_type2_radius_150_to_300,tumor_cells_type3_radius_150_to_300,tumor_cells_type4_radius_150_to_300,tumor_cells_type5_dead_radius_150_to_300,average_oncoprotein_radius_150_to_300,average_oxygen_cancer_cells_radius_150_to_300,average_oxygen_all_cells_radius_150_to_300,average_glucose_cancer_cells_radius_150_to_300,average_glucose_all_cells_radius_150_to_300,num_alive_cells_radius_300_to_450,num_dead_cells_radius_300_to_450,total_num_cells_radius_300_to_450,num_alive_tumor_cells_radius_300_to_450,total_num_tumor_cells_radius_300_to_450,num_alive_cart_cells_radius_300_to_450,num_dead_cart_cells_radius_300_to_450,tumor_cells_type1_radius_300_to_450,tumor_cells_type2_radius_300_to_450,tumor_cells_type3_radius_300_to_450,tumor_cells_type4_radius_300_to_450,tumor_cells_type5_dead_radius_300_to_450,average_oncoprotein_radius_300_to_450,average_oxygen_cancer_cells_radius_300_to_450,average_oxygen_all_cells_radius_300_to_450,average_glucose_cancer_cells_radius_300_to_450,average_glucose_all_cells_radius_300_to_450,num_alive_cells_radius_450_to_600,num_dead_cells_radius_450_to_600,total_num_cells_radius_450_to_600,num_alive_tumor_cells_radius_450_to_600,total_num_tumor_cells_radius_450_to_600,num_alive_cart_cells_radius_450_to_600,num_dead_cart_cells_radius_450_to_600,tumor_cells_type1_radius_450_to_600,tumor_cells_type2_radius_450_to_600,tumor_cells_type3_radius_450_to_600,tumor_cells_type4_radius_450_to_600,tumor_cells_type5_dead_radius_450_to_600,average_oncoprotein_radius_450_to_600,average_oxygen_cancer_cells_radius_450_to_600,average_oxygen_all_cells_radius_450_to_600,average_glucose_cancer_cells_radius_450_to_600,average_glucose_all_cells_radius_450_to_600,num_alive_cells_radius_600_to_750,num_dead_cells_radius_600_to_750,total_num_cells_radius_600_to_750,num_alive_tumor_cells_radius_600_to_750,total_num_tumor_cells_radius_600_to_750,num_alive_cart_cells_radius_600_to_750,num_dead_cart_cells_radius_600_to_750,tumor_cells_type1_radius_600_to_750,tumor_cells_type2_radius_600_to_750,tumor_cells_type3_radius_600_to_750,tumor_cells_type4_radius_600_to_750,tumor_cells_type5_dead_radius_600_to_750,average_oncoprotein_radius_600_to_750,average_oxygen_cancer_cells_radius_600_to_750,average_oxygen_all_cells_radius_600_to_750,average_glucose_cancer_cells_radius_600_to_750,average_glucose_all_cells_radius_600_to_750,num_alive_cells_radius_750_to_900,num_dead_cells_radius_750_to_900,total_num_cells_radius_750_to_900,num_alive_tumor_cells_radius_750_to_900,total_num_tumor_cells_radius_750_to_900,num_alive_cart_cells_radius_750_to_900,num_dead_cart_cells_radius_750_to_900,tumor_cells_type1_radius_750_to_900,tumor_cells_type2_radius_750_to_900,tumor_cells_type3_radius_750_to_900,tumor_cells_type4_radius_750_to_900,tumor_cells_type5_dead_radius_750_to_900,average_oncoprotein_radius_750_to_900,average_oxygen_cancer_cells_radius_750_to_900,average_oxygen_all_cells_radius_750_to_900,average_glucose_cancer_cells_radius_750_to_900,average_glucose_all_cells_radius_750_to_900,num_alive_cells_radius_900_to_1050,num_dead_cells_radius_900_to_1050,total_num_cells_radius_900_to_1050,num_alive_tumor_cells_radius_900_to_1050,total_num_tumor_cells_radius_900_to_1050,num_alive_cart_cells_radius_900_to_1050,num_dead_cart_cells_radius_900_to_1050,tumor_cells_type1_radius_900_to_1050,tumor_cells_type2_radius_900_to_1050,tumor_cells_type3_radius_900_to_1050,tumor_cells_type4_radius_900_to_1050,tumor_cells_type5_dead_radius_900_to_1050,average_oncoprotein_radius_900_to_1050,average_oxygen_cancer_cells_radius_900_to_1050,average_oxygen_all_cells_radius_900_to_1050,average_glucose_cancer_cells_radius_900_to_1050,average_glucose_all_cells_radius_900_to_1050,num_alive_cells_radius_1050_to_1200,num_dead_cells_radius_1050_to_1200,total_num_cells_radius_1050_to_1200,num_alive_tumor_cells_radius_1050_to_1200,total_num_tumor_cells_radius_1050_to_1200,num_alive_cart_cells_radius_1050_to_1200,num_dead_cart_cells_radius_1050_to_1200,tumor_cells_type1_radius_1050_to_1200,tumor_cells_type2_radius_1050_to_1200,tumor_cells_type3_radius_1050_to_1200,tumor_cells_type4_radius_1050_to_1200,tumor_cells_type5_dead_radius_1050_to_1200,average_oncoprotein_radius_1050_to_1200,average_oxygen_cancer_cells_radius_1050_to_1200,average_oxygen_all_cells_radius_1050_to_1200,average_glucose_cancer_cells_radius_1050_to_1200,average_glucose_all_cells_radius_1050_to_1200,num_alive_cells_radius_1200_to_1350,num_dead_cells_radius_1200_to_1350,total_num_cells_radius_1200_to_1350,num_alive_tumor_cells_radius_1200_to_1350,total_num_tumor_cells_radius_1200_to_1350,num_alive_cart_cells_radius_1200_to_1350,num_dead_cart_cells_radius_1200_to_1350,tumor_cells_type1_radius_1200_to_1350,tumor_cells_type2_radius_1200_to_1350,tumor_cells_type3_radius_1200_to_1350,tumor_cells_type4_radius_1200_to_1350,tumor_cells_type5_dead_radius_1200_to_1350,average_oncoprotein_radius_1200_to_1350,average_oxygen_cancer_cells_radius_1200_to_1350,average_oxygen_all_cells_radius_1200_to_1350,average_glucose_cancer_cells_radius_1200_to_1350,average_glucose_all_cells_radius_1200_to_1350,num_alive_cells_radius_1350_to_1500,num_dead_cells_radius_1350_to_1500,total_num_cells_radius_1350_to_1500,num_alive_tumor_cells_radius_1350_to_1500,total_num_tumor_cells_radius_1350_to_1500,num_alive_cart_cells_radius_1350_to_1500,num_dead_cart_cells_radius_1350_to_1500,tumor_cells_type1_radius_1350_to_1500,tumor_cells_type2_radius_1350_to_1500,tumor_cells_type3_radius_1350_to_1500,tumor_cells_type4_radius_1350_to_1500,tumor_cells_type5_dead_radius_1350_to_1500,average_oncoprotein_radius_1350_to_1500,average_oxygen_cancer_cells_radius_1350_to_1500,average_oxygen_all_cells_radius_1350_to_1500,average_glucose_cancer_cells_radius_1350_to_1500,average_glucose_all_cells_radius_1350_to_1500,num_alive_cells_radius_1500_to_1650,num_dead_cells_radius_1500_to_1650,total_num_cells_radius_1500_to_1650,num_alive_tumor_cells_radius_1500_to_1650,total_num_tumor_cells_radius_1500_to_1650,num_alive_cart_cells_radius_1500_to_1650,num_dead_cart_cells_radius_1500_to_1650,tumor_cells_type1_radius_1500_to_1650,tumor_cells_type2_radius_1500_to_1650,tumor_cells_type3_radius_1500_to_1650,tumor_cells_type4_radius_1500_to_1650,tumor_cells_type5_dead_radius_1500_to_1650,average_oncoprotein_radius_1500_to_1650,average_oxygen_cancer_cells_radius_1500_to_1650,average_oxygen_all_cells_radius_1500_to_1650,average_glucose_cancer_cells_radius_1500_to_1650,average_glucose_all_cells_radius_1500_to_1650,num_alive_cells_radius_1650_to_1800,num_dead_cells_radius_1650_to_1800,total_num_cells_radius_1650_to_1800,num_alive_tumor_cells_radius_1650_to_1800,total_num_tumor_cells_radius_1650_to_1800,num_alive_cart_cells_radius_1650_to_1800,num_dead_cart_cells_radius_1650_to_1800,tumor_cells_type1_radius_1650_to_1800,tumor_cells_type2_radius_1650_to_1800,tumor_cells_type3_radius_1650_to_1800,tumor_cells_type4_radius_1650_to_1800,tumor_cells_type5_dead_radius_1650_to_1800,average_oncoprotein_radius_1650_to_1800,average_oxygen_cancer_cells_radius_1650_to_1800,average_oxygen_all_cells_radius_1650_to_1800,average_glucose_cancer_cells_radius_1650_to_1800,average_glucose_all_cells_radius_1650_to_1800,num_alive_cells_radius_1800_to_1950,num_dead_cells_radius_1800_to_1950,total_num_cells_radius_1800_to_1950,num_alive_tumor_cells_radius_1800_to_1950,total_num_tumor_cells_radius_1800_to_1950,num_alive_cart_cells_radius_1800_to_1950,num_dead_cart_cells_radius_1800_to_1950,tumor_cells_type1_radius_1800_to_1950,tumor_cells_type2_radius_1800_to_1950,tumor_cells_type3_radius_1800_to_1950,tumor_cells_type4_radius_1800_to_1950,tumor_cells_type5_dead_radius_1800_to_1950,average_oncoprotein_radius_1800_to_1950,average_oxygen_cancer_cells_radius_1800_to_1950,average_oxygen_all_cells_radius_1800_to_1950,average_glucose_cancer_cells_radius_1800_to_1950,average_glucose_all_cells_radius_1800_to_1950,num_alive_cells_radius_1950_to_2100,num_dead_cells_radius_1950_to_2100,total_num_cells_radius_1950_to_2100,num_alive_tumor_cells_radius_1950_to_2100,total_num_tumor_cells_radius_1950_to_2100,num_alive_cart_cells_radius_1950_to_2100,num_dead_cart_cells_radius_1950_to_2100,tumor_cells_type1_radius_1950_to_2100,tumor_cells_type2_radius_1950_to_2100,tumor_cells_type3_radius_1950_to_2100,tumor_cells_type4_radius_1950_to_2100,tumor_cells_type5_dead_radius_1950_to_2100,average_oncoprotein_radius_1950_to_2100,average_oxygen_cancer_cells_radius_1950_to_2100,average_oxygen_all_cells_radius_1950_to_2100,average_glucose_cancer_cells_radius_1950_to_2100,average_glucose_all_cells_radius_1950_to_2100,num_alive_cells_radius_2100_to_2250,num_dead_cells_radius_2100_to_2250,total_num_cells_radius_2100_to_2250,num_alive_tumor_cells_radius_2100_to_2250,total_num_tumor_cells_radius_2100_to_2250,num_alive_cart_cells_radius_2100_to_2250,num_dead_cart_cells_radius_2100_to_2250,tumor_cells_type1_radius_2100_to_2250,tumor_cells_type2_radius_2100_to_2250,tumor_cells_type3_radius_2100_to_2250,tumor_cells_type4_radius_2100_to_2250,tumor_cells_type5_dead_radius_2100_to_2250,average_oncoprotein_radius_2100_to_2250,average_oxygen_cancer_cells_radius_2100_to_2250,average_oxygen_all_cells_radius_2100_to_2250,average_glucose_cancer_cells_radius_2100_to_2250,average_glucose_all_cells_radius_2100_to_2250,num_alive_cells_radius_2250_to_2400,num_dead_cells_radius_2250_to_2400,total_num_cells_radius_2250_to_2400,num_alive_tumor_cells_radius_2250_to_2400,total_num_tumor_cells_radius_2250_to_2400,num_alive_cart_cells_radius_2250_to_2400,num_dead_cart_cells_radius_2250_to_2400,tumor_cells_type1_radius_2250_to_2400,tumor_cells_type2_radius_2250_to_2400,tumor_cells_type3_radius_2250_to_2400,tumor_cells_type4_radius_2250_to_2400,tumor_cells_type5_dead_radius_2250_to_2400,average_oncoprotein_radius_2250_to_2400,average_oxygen_cancer_cells_radius_2250_to_2400,average_oxygen_all_cells_radius_2250_to_2400,average_glucose_cancer_cells_radius_2250_to_2400,average_glucose_all_cells_radius_2250_to_2400,num_alive_cells_radius_2400_to_2550,num_dead_cells_radius_2400_to_2550,total_num_cells_radius_2400_to_2550,num_alive_tumor_cells_radius_2400_to_2550,total_num_tumor_cells_radius_2400_to_2550,num_alive_cart_cells_radius_2400_to_2550,num_dead_cart_cells_radius_2400_to_2550,tumor_cells_type1_radius_2400_to_2550,tumor_cells_type2_radius_2400_to_2550,tumor_cells_type3_radius_2400_to_2550,tumor_cells_type4_radius_2400_to_2550,tumor_cells_type5_dead_radius_2400_to_2550,average_oncoprotein_radius_2400_to_2550,average_oxygen_cancer_cells_radius_2400_to_2550,average_oxygen_all_cells_radius_2400_to_2550,average_glucose_cancer_cells_radius_2400_to_2550,average_glucose_all_cells_radius_2400_to_2550,num_alive_cells_radius_2550_to_2700,num_dead_cells_radius_2550_to_2700,total_num_cells_radius_2550_to_2700,num_alive_tumor_cells_radius_2550_to_2700,total_num_tumor_cells_radius_2550_to_2700,num_alive_cart_cells_radius_2550_to_2700,num_dead_cart_cells_radius_2550_to_2700,tumor_cells_type1_radius_2550_to_2700,tumor_cells_type2_radius_2550_to_2700,tumor_cells_type3_radius_2550_to_2700,tumor_cells_type4_radius_2550_to_2700,tumor_cells_type5_dead_radius_2550_to_2700,average_oncoprotein_radius_2550_to_2700,average_oxygen_cancer_cells_radius_2550_to_2700,average_oxygen_all_cells_radius_2550_to_2700,average_glucose_cancer_cells_radius_2550_to_2700,average_glucose_all_cells_radius_2550_to_2700,num_alive_cells_radius_2700_to_2850,num_dead_cells_radius_2700_to_2850,total_num_cells_radius_2700_to_2850,num_alive_tumor_cells_radius_2700_to_2850,total_num_tumor_cells_radius_2700_to_2850,num_alive_cart_cells_radius_2700_to_2850,num_dead_cart_cells_radius_2700_to_2850,tumor_cells_type1_radius_2700_to_2850,tumor_cells_type2_radius_2700_to_2850,tumor_cells_type3_radius_2700_to_2850,tumor_cells_type4_radius_2700_to_2850,tumor_cells_type5_dead_radius_2700_to_2850,average_oncoprotein_radius_2700_to_2850,average_oxygen_cancer_cells_radius_2700_to_2850,average_oxygen_all_cells_radius_2700_to_2850,average_glucose_cancer_cells_radius_2700_to_2850,average_glucose_all_cells_radius_2700_to_2850,num_alive_cells_radius_2850_to_3000,num_dead_cells_radius_2850_to_3000,total_num_cells_radius_2850_to_3000,num_alive_tumor_cells_radius_2850_to_3000,total_num_tumor_cells_radius_2850_to_3000,num_alive_cart_cells_radius_2850_to_3000,num_dead_cart_cells_radius_2850_to_3000,tumor_cells_type1_radius_2850_to_3000,tumor_cells_type2_radius_2850_to_3000,tumor_cells_type3_radius_2850_to_3000,tumor_cells_type4_radius_2850_to_3000,tumor_cells_type5_dead_radius_2850_to_3000,average_oncoprotein_radius_2850_to_3000,average_oxygen_cancer_cells_radius_2850_to_3000,average_oxygen_all_cells_radius_2850_to_3000,average_glucose_cancer_cells_radius_2850_to_3000,average_glucose_all_cells_radius_2850_to_3000
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diff --git a/draft/values_glucose_with_cup/final_data.csv b/draft/values_glucose_with_cup/final_data.csv
new file mode 100644
index 0000000..2a6a41c
--- /dev/null
+++ b/draft/values_glucose_with_cup/final_data.csv
@@ -0,0 +1,74 @@
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+1.08333,26,1560,3000.88,28023,28023,0,26995,0,0,1028,0,0,1,40.2213,40.2213,10.8153,10.8153
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+1.25,30,1800,3000.88,28053,28053,0,26881,0,0,1172,0,0,1,40.3346,40.3346,9.56892,9.56892
+1.29167,31,1860,3000.88,28072,28072,0,26856,0,0,1216,0,0,1,40.3648,40.3648,9.28142,9.28142
+1.33333,32,1920,3000.88,28093,28093,0,26848,0,0,1245,0,0,1,40.3936,40.3936,9.00295,9.00295
+1.375,33,1980,3000.88,28111,28111,0,26835,0,0,1276,0,0,1,40.4129,40.4129,8.73297,8.73297
+1.41667,34,2040,3000.88,28131,28131,0,26815,0,0,1316,0,0,1,40.4436,40.4436,8.47134,8.47134
+1.45833,35,2100,3000.88,28151,28151,0,26794,0,0,1357,0,0,1,40.4716,40.4716,8.21783,8.21783
+1.5,36,2160,3000.88,28181,28181,0,26794,0,0,1387,0,0,1,40.4912,40.4912,7.97213,7.97213
+1.54167,37,2220,3000.88,28209,28209,0,26775,0,0,1434,0,0,1,40.5086,40.5086,7.73391,7.73391
+1.58333,38,2280,3000.88,28250,28250,0,26781,0,0,1469,0,0,1,40.5347,40.5347,7.50314,7.50314
+1.625,39,2340,3000.88,28313,28313,0,26795,0,0,1518,0,0,1,40.5715,40.5715,7.27948,7.27948
+1.66667,40,2400,3000.88,28372,28372,0,26808,0,0,1564,0,0,1,40.5898,40.5898,7.06261,7.06261
+1.70833,41,2460,3000.88,28441,28441,0,26835,0,0,1606,0,0,1,40.6271,40.6271,6.85246,6.85246
+1.75,42,2520,3000.88,28533,28533,0,26897,0,0,1636,0,0,1,40.6443,40.6443,6.64855,6.64855
+1.79167,43,2580,3000.88,28621,28621,0,26952,0,0,1669,0,0,1,40.658,40.658,6.45066,6.45066
+1.83333,44,2640,3000.88,28713,28713,0,27011,0,0,1702,0,0,1,40.6471,40.6471,6.25856,6.25856
+1.875,45,2700,3000.88,28820,28820,0,27080,0,0,1740,0,0,1,40.6488,40.6488,6.07212,6.07212
+1.91667,46,2760,3000.88,28934,28934,0,27167,0,0,1767,0,0,1,40.6546,40.6546,5.89122,5.89122
+1.95833,47,2820,3000.88,29047,29047,0,27244,0,0,1803,0,0,1,40.6562,40.6562,5.7154,5.7154
+2,48,2880,3000.88,29201,29201,0,27356,0,0,1845,0,0,1,40.6374,40.6374,5.54466,5.54466
+2.04167,49,2940,3000.88,29344,29344,0,27458,0,0,1886,0,0,1,40.6187,40.6187,5.37882,5.37882
+2.08333,50,3000,3000.88,29519,29519,0,27591,0,0,1928,0,0,1,40.6218,40.6218,5.2178,5.2178
+2.125,51,3060,3000.89,29742,29742,0,27769,0,0,1973,0,0,1,40.5928,40.5928,5.06121,5.06121
+2.16667,52,3120,3000.99,29963,29963,0,27954,0,0,2009,0,0,1,40.5826,40.5826,4.90905,4.90905
+2.20833,53,3180,3002.7,30218,30218,0,28177,0,0,2041,0,0,1,40.5334,40.5334,4.76099,4.76099
+2.25,54,3240,3002.82,30490,30490,0,28410,0,0,2080,0,0,1,40.4893,40.4893,4.61689,4.61689
+2.29167,55,3300,3002.94,30766,30766,0,28651,0,0,2115,0,0,1,40.4083,40.4083,4.47659,4.47659
+2.33333,56,3360,3003.23,31088,31088,0,28934,0,0,2154,0,0,1,40.3605,40.3605,4.34003,4.34003
+2.375,57,3420,3003.47,31398,31398,0,29214,0,0,2184,0,0,1,40.2663,40.2663,4.20689,4.20689
+2.41667,58,3480,3003.55,31732,31732,0,29507,0,0,2225,0,0,1,40.1678,40.1678,4.07706,4.07706
+2.45833,59,3540,3003.64,32090,32090,0,29835,0,0,2255,0,0,1,40.0872,40.0872,3.95055,3.95055
+2.5,60,3600,3003.72,32483,32483,0,30179,0,0,2304,0,0,1,39.9934,39.9934,3.82714,3.82714
+2.54167,61,3660,3003.8,32880,32880,0,30538,0,0,2342,0,0,1,39.8582,39.8582,3.70666,3.70666
+2.58333,62,3720,3003.87,33288,33288,0,30888,0,0,2400,0,0,1,39.7368,39.7368,3.58919,3.58919
+2.625,63,3780,3005.6,33684,33684,0,31241,0,0,2443,0,0,1,39.597,39.597,3.47455,3.47455
+2.66667,64,3840,3005.85,34147,34147,0,31655,0,0,2492,0,0,1,39.4545,39.4545,3.36262,3.36262
+2.70833,65,3900,3005.98,34599,34599,0,32075,0,0,2524,0,0,1,39.2852,39.2852,3.25328,3.25328
+2.75,66,3960,3006.11,35093,35093,0,32528,0,0,2565,0,0,1,39.1116,39.1116,3.14643,3.14643
+2.79167,67,4020,3006.46,35595,35595,0,32987,0,0,2608,0,0,1,38.9483,38.9483,3.04208,3.04208
+2.83333,68,4080,3006.62,36063,36063,0,33402,0,0,2661,0,0,1,38.7528,38.7528,2.94007,2.94007
+2.875,69,4140,3006.76,36573,36573,0,33871,0,0,2702,0,0,1,38.549,38.549,2.84045,2.84045
+2.91667,70,4200,3006.89,37050,37050,0,34302,0,0,2748,0,0,1,38.321,38.321,2.74306,2.74306
+2.95833,71,4260,3007.01,37550,37550,0,34749,0,0,2801,0,0,1,38.0915,38.0915,2.64797,2.64797
+3,72,4320,3007.11,38021,38021,0,35165,0,0,2856,0,0,1,37.8266,37.8266,2.55508,2.55508
diff --git a/params.json b/params.json
index fbfd2f2..65e6ced 100644
--- a/params.json
+++ b/params.json
@@ -36,10 +36,9 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000166,
-  "nutrient_starvation_factor_cancer_cells": 1.00,
+  "basal_necrosis_probability_cancer_cells": 0.0000049,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -50,5 +49,8 @@
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
   "default_glucose_consumption_tumor_cell": 0.145,
-  "default_glucose_consumption_cart": 0.145
+  "default_glucose_consumption_cart": 0.145,
+  "glucose_limit_for_necrosis": 0,
+  "glucose_limit_for_necrosis_maximum": 0,
+  "maximum_necrosis_lack_of_glucose_rate": 0
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index dc03a9c..252a061 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -456,12 +456,6 @@ void StateControlGrowProliferate::Run(Agent* agent) {
       // If the cell is attached to a cart, skip the state control and growth
       return;
     }
-    // Oxygen levels
-    const Real3 current_position = cell->GetPosition();
-    // Pointer to the oxygen diffusion grid
-    DiffusionGrid* oxygen_dgrid = cell->GetOxygenDiffusionGrid();
-    const real_t oxygen_level = oxygen_dgrid->GetValue(current_position);
-
     switch (cell->GetState()) {
       case TumorCellState::kAlive: {
         // the cell is growing to real_t its size before mitosis
@@ -469,8 +463,21 @@ void StateControlGrowProliferate::Run(Agent* agent) {
         // minutes per step)
         cell->SetTimerState(cell->GetTimerState() + sparams->dt_cycle);
 
-        // Enter necrosis if oxygen level is too low
-        if (ShouldEnterNecrosis(oxygen_level, cell)) {
+          // Oxygen levels
+          const Real3 current_position = cell->GetPosition();
+          // Pointer to the oxygen diffusion grid
+          DiffusionGrid* oxygen_dgrid = cell->GetOxygenDiffusionGrid();
+          const real_t oxygen_level = oxygen_dgrid->GetValue(current_position);
+
+          // Glucose levels if a glucose diffusion grid is defined
+          real_t glucose_level = 0.0;
+          if (cell->IsGlucoseDefined()) {
+            DiffusionGrid* glucose_dgrid = cell->GetGlucoseDiffusionGrid();
+            glucose_level = glucose_dgrid->GetValue(current_position);
+          }
+
+        // Enter necrosis if oxygen or glucose levels are too low
+        if (ShouldEnterNecrosis(oxygen_level, glucose_level, cell)) {
           // Exit the function to prevent further processing
           return;
         }
@@ -609,12 +616,13 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
 }
 
 // computes the probability of the cell entering necrosis
-bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
+bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level, real_t glucose_level,
                                                       TumorCell* cell) {
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
   // necrosis probability
-  // Default multiplier for necrosis probability
+  // Oxygen
+  // Default multiplier for necrosis probability because of low oxygen level
   real_t multiplier = 0.0;
   // oxygen threshold for considering necrosis
   if (oxygen_level < sparams->oxygen_limit_for_necrosis) {
@@ -627,16 +635,33 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level,
     multiplier = 1.0;
   }
   // Calculate the probability of necrosis based on oxygen level
-  // and multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle
-  // minutes
+  const real_t maximum_necrosis_rate_oxygen_multiplier = sparams->maximum_necrosis_lack_of_oxygen_rate * multiplier;
+  // Glucose (only if glucose is defined in the simulation)
+  // Default multiplier for necrosis probability because of low glucose level
+  multiplier = 0.0;
+  if (cell->IsGlucoseDefined()) {
+    //there is a glucose diffusion grid defined in the simulation
+    // glucose threshold for considering necrosis
+    if (glucose_level < sparams->glucose_limit_for_necrosis) {
+      multiplier = (sparams->glucose_limit_for_necrosis - glucose_level) /
+                  (sparams->glucose_limit_for_necrosis -
+                    sparams->glucose_limit_for_necrosis_maximum);
+    }
+    // threshold for maximum necrosis probability
+    if (glucose_level < sparams->glucose_limit_for_necrosis_maximum) {
+      multiplier = 1.0;
+    }
+  }
+  // Calculate the probability of necrosis based on glucose level. If no glucose gradient is defined it will be zero
+  const real_t maximum_necrosis_rate_glucose_multiplier = sparams->maximum_necrosis_lack_of_glucose_rate * multiplier;
+  // Random natural causes
   const real_t current_basal_death_probability = cell->GetBasalDeathProbability();
-  const real_t maximum_necrosis_rate_multiplier = sparams->maximum_necrosis_rate * multiplier;
+  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
+  // The probability of necrosis is calculated as the complement of the product of the complements of the individual probabilities, scaled by the time step.
   const real_t probability_necrosis =
-      sparams->dt_cycle * ( maximum_necrosis_rate_multiplier + current_basal_death_probability
-                          - maximum_necrosis_rate_multiplier * current_basal_death_probability);
-
-  //increase basal death with nutrient_starvation
-  cell->SetBasalDeathProbability(current_basal_death_probability * sparams->scaled_nutrient_starvation_factor_cancer_cells);
+      sparams->dt_cycle * (1.0 - (1.0 - maximum_necrosis_rate_oxygen_multiplier) *
+                                  (1.0 - maximum_necrosis_rate_glucose_multiplier) *
+                                  (1.0 - current_basal_death_probability));
 
   Random* random = sim->GetRandom();
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 9bdf145..3e8af26 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -378,12 +378,13 @@ struct StateControlGrowProliferate : public Behavior {
  private:
   /// Compute the probability of the cell entering necrosis
   ///
-  /// Determines whether a cell should enter necrosis based on oxygen levels
+  /// Determines whether a cell should enter necrosis based on oxygen and, if deffined, glucose levels
   ///
   /// @param oxygen_level Current oxygen concentration at the cell's location
+  /// @param glucose_level Current glucose concentration at the cell's location
   /// @param cell Pointer to the tumor cell being evaluated
   /// @return True if the cell should enter necrosis, false otherwise
-  static bool ShouldEnterNecrosis(real_t oxygen_level, TumorCell* cell);
+  static bool ShouldEnterNecrosis(real_t oxygen_level, real_t glucose_level, TumorCell* cell);
 
   /// Manage the behavior of a living tumor cell
   ///
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 0d393c5..55a47c3 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -254,9 +254,8 @@ void SimParam::LoadParams(const std::string& filename) {
               oxygen_limit_for_necrosis_maximum);
   load_double("basal_necrosis_probability_cancer_cells",
               basal_necrosis_probability_cancer_cells);
-  load_double("nutrient_starvation_factor_cancer_cells", nutrient_starvation_factor_cancer_cells);
   load_double("time_lysis", time_lysis);
-  load_double("maximum_necrosis_rate", maximum_necrosis_rate);
+  load_double("maximum_necrosis_lack_of_oxygen_rate", maximum_necrosis_lack_of_oxygen_rate);
 
   load_double("default_oxygen_consumption_tumor_cell",
               default_oxygen_consumption_tumor_cell);
@@ -337,8 +336,6 @@ void SimParam::LoadParams(const std::string& filename) {
   // Calculate steps per day. This is always calculated here
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   steps_in_one_day = static_cast<size_t>(24 * 60 / dt_step);
-  // Calculate the scaled nutrient starvation factor for cancer cells considering the cycle time step
-  scaled_nutrient_starvation_factor_cancer_cells = std::pow(nutrient_starvation_factor_cancer_cells, dt_cycle);
   // Calculate the volume of a single mechanical voxel in μm³
   voxel_volume =
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
@@ -572,12 +569,10 @@ void SimParam::PrintParams() const {
             << oxygen_limit_for_necrosis_maximum << "\n";
   std::cout << "Basal necrosis probability for tumor cells: "
             << basal_necrosis_probability_cancer_cells << "\n";
-  std::cout << "Nutrient starvation factor for cancer cells: "
-            << nutrient_starvation_factor_cancer_cells << "\n";
   std::cout << "Time in minutes until a lysed necrotic cell is removed: "
             << time_lysis << "\n";
   std::cout << "Maximum rate per minute of necrosis for tumor cells: "
-            << maximum_necrosis_rate << "\n";
+            << maximum_necrosis_lack_of_oxygen_rate << "\n";
   std::cout << "Default oxygen consumption rate of tumor cell: "
             << default_oxygen_consumption_tumor_cell << "\n";
   std::cout << "Default glucose consumption rate of tumor cell: "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index fc765d6..d474cc8 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -224,8 +224,7 @@ struct SimParam : public ParamGroup {
   /// Initial glucose concentration in each voxel in mmol/L
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t initial_glucose_level = 24.98;
-
-    /// Maximum radius for glucose initialization in micrometers. If the tumor is spherical, the glucose will be initialized in a sphere of this radius. If the tumor is cylindrical, the glucose will be initialized in a cylinder of this radius. Outside of this radius, the glucose will be initialized to 0. By default it is set to the bounded_space_length to avoid any restrictions.
+  /// Maximum radius for glucose initialization in micrometers. If the tumor is spherical, the glucose will be initialized in a sphere of this radius. If the tumor is cylindrical, the glucose will be initialized in a cylinder of this radius. Outside of this radius, the glucose will be initialized to 0. By default it is set to the bounded_space_length to avoid any restrictions.
   real_t max_radius_glucose_initialization = 1000;
   
   /// Forces
@@ -306,19 +305,26 @@ struct SimParam : public ParamGroup {
   /// Limit of oxygen to maximum necrosis probability
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_limit_for_necrosis_maximum = 2.5;
+  /// Maximum rate per minute of necrosis for tumor cells in case of hypoxia
+  /// with oxygen_limit_for_necrosis_maximum oxygen
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t maximum_necrosis_lack_of_oxygen_rate = 0.00277778;
+  /// Limit of glucose to start causing necrosis
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t glucose_limit_for_necrosis = 0;
+  /// Limit of glucose to maximum necrosis probability
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t glucose_limit_for_necrosis_maximum = 0;
+  /// Maximum rate per minute of necrosis for tumor cells in case of lack of nutrients
+  /// with glucose_limit_for_necrosis_maximum glucose
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t maximum_necrosis_lack_of_glucose_rate = 0.0;
   /// Basal necrosis probability for cancer cells per minute: death due to natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t basal_necrosis_probability_cancer_cells = 0.0;
-  /// Nutrient starvation factor (>= 1.0) that multiplies the basal necrosis probability for cancer cells per minute: death due to natural random causes
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t nutrient_starvation_factor_cancer_cells = 1.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_lysis = 86400;
-  /// Maximum rate per minute of necrosis for tumor cells in case of hypoxia
-  /// with 0 oxygen
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t maximum_necrosis_rate = 0.00277778;
   /// Default oxygen consumption rate of tumor cell
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_oxygen_consumption_tumor_cell = 10;
@@ -455,10 +461,6 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   size_t steps_in_one_day = 14400;
 
-  /// Scaled nutrient starvation factor for cancer cells considering the time step
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t scaled_nutrient_starvation_factor_cancer_cells = 1.0;
-  
   /// Volume of a single voxel in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t voxel_volume = 8000;

From 6454e7201e11d226b0e6fd0987764d33abb5c03a Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 8 Aug 2026 12:12:57 +0200
Subject: [PATCH 28/54] glucose affecting duplication rate, old version

---
 .../experiment_33/optuna_results.csv          |  12 +++
 .../experiment_45/optuna_results.csv          |  12 +++
 .../experiment_50/optuna_results.csv          |   7 ++
 abm_calibration/optimize.py                   |  70 +++++++------
 draft/analysis_radius_atribute.py             |  16 +--
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 36281 -> 43737 bytes
 ...nfig_glucose_not_affect_proliferation.json |  58 +++++++++++
 draft/config_very_variable_outcomes.json      |  58 +++++++++++
 .../data_dependent_on_radius_tumor.csv        |  74 ++++++++++++++
 draft/execution_seed_9/final_data.csv         |  74 ++++++++++++++
 draft/experimentation.py                      |  93 +++++++++++-------
 draft/generatecsv.py                          |   2 +-
 draft/num_alive_cells_radius_vs_radius.png    | Bin 0 -> 49468 bytes
 draft/num_dead_cells_radius_vs_radius.png     | Bin 0 -> 62812 bytes
 params.json                                   |  22 +++--
 src/agents/tumor_cell.cc                      |  34 +++++--
 src/agents/tumor_cell.h                       |   3 +-
 src/params/hyperparams.cc                     |  15 ++-
 src/params/hyperparams.h                      |   6 ++
 19 files changed, 462 insertions(+), 94 deletions(-)
 create mode 100644 abm_calibration/experiment_33/optuna_results.csv
 create mode 100644 abm_calibration/experiment_45/optuna_results.csv
 create mode 100644 abm_calibration/experiment_50/optuna_results.csv
 create mode 100644 draft/config_glucose_not_affect_proliferation.json
 create mode 100644 draft/config_very_variable_outcomes.json
 create mode 100644 draft/execution_seed_9/data_dependent_on_radius_tumor.csv
 create mode 100644 draft/execution_seed_9/final_data.csv
 create mode 100644 draft/num_alive_cells_radius_vs_radius.png
 create mode 100644 draft/num_dead_cells_radius_vs_radius.png

diff --git a/abm_calibration/experiment_33/optuna_results.csv b/abm_calibration/experiment_33/optuna_results.csv
new file mode 100644
index 0000000..a70859b
--- /dev/null
+++ b/abm_calibration/experiment_33/optuna_results.csv
@@ -0,0 +1,12 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_glucose_rate,state
+0,156.0,2026-08-06 01:10:13.465272,2026-08-06 02:16:29.243884,0 days 01:06:15.778612,0.00012100000000000001,COMPLETE
+1,928.0,2026-08-06 02:16:29.271727,2026-08-06 03:24:33.835886,0 days 01:08:04.564159,0.000169,COMPLETE
+2,665.0,2026-08-06 03:24:33.859810,2026-08-06 04:34:24.668927,0 days 01:09:50.809117,0.000151,COMPLETE
+3,390.0,2026-08-06 04:34:24.696478,2026-08-06 05:43:00.165035,0 days 01:08:35.468557,0.00014,COMPLETE
+4,22.0,2026-08-06 05:43:00.189540,2026-08-06 06:52:30.246122,0 days 01:09:30.056582,0.00010300000000000001,COMPLETE
+5,130.0,2026-08-06 06:52:30.271078,2026-08-06 08:01:04.357732,0 days 01:08:34.086654,0.00010300000000000001,COMPLETE
+6,169.0,2026-08-06 08:01:04.381574,2026-08-06 09:09:44.767000,0 days 01:08:40.385426,9.400000000000001e-05,COMPLETE
+7,753.0,2026-08-06 09:09:44.790938,2026-08-06 10:18:08.464052,0 days 01:08:23.673114,0.000162,COMPLETE
+8,423.0,2026-08-06 10:18:08.488956,2026-08-06 11:25:51.958616,0 days 01:07:43.469660,0.00014,COMPLETE
+9,523.0,2026-08-06 11:25:51.982532,2026-08-06 12:36:04.718270,0 days 01:10:12.735738,0.000149,COMPLETE
+10,,2026-08-06 12:36:04.742446,,,0.000116,RUNNING
diff --git a/abm_calibration/experiment_45/optuna_results.csv b/abm_calibration/experiment_45/optuna_results.csv
new file mode 100644
index 0000000..b730611
--- /dev/null
+++ b/abm_calibration/experiment_45/optuna_results.csv
@@ -0,0 +1,12 @@
+number,value,datetime_start,datetime_complete,duration,params_average_time_transformation_random_rate,params_default_glucose_consumption_tumor_cell,params_maximum_necrosis_lack_of_glucose_rate,state
+0,14005.6027,2026-08-07 00:30:58.521908,2026-08-07 01:30:54.172923,0 days 00:59:55.651015,62.0,0.145,0.000101,COMPLETE
+1,14398.0878,2026-08-07 01:30:54.207381,2026-08-07 02:31:54.182012,0 days 01:00:59.974631,65.5,0.132,8.800000000000001e-05,COMPLETE
+2,11851.6241,2026-08-07 02:31:54.206296,2026-08-07 03:36:33.793909,0 days 01:04:39.587613,56.5,0.14300000000000002,9.800000000000001e-05,COMPLETE
+3,14444.4113,2026-08-07 03:36:33.819260,2026-08-07 04:37:37.648418,0 days 01:01:03.829158,67.5,0.13,0.000106,COMPLETE
+4,14387.4502,2026-08-07 04:37:37.672136,2026-08-07 05:38:41.409138,0 days 01:01:03.737002,69.5,0.133,8.900000000000001e-05,COMPLETE
+5,12696.5857,2026-08-07 05:38:41.434254,2026-08-07 06:43:17.856587,0 days 01:04:36.422333,59.0,0.134,9.6e-05,COMPLETE
+6,13568.3429,2026-08-07 06:43:17.880320,2026-08-07 07:46:34.117324,0 days 01:03:16.237004,63.0,0.134,9.800000000000001e-05,COMPLETE
+7,11907.26,2026-08-07 07:46:34.146246,2026-08-07 08:52:10.453167,0 days 01:05:36.306921,58.0,0.134,9.300000000000001e-05,COMPLETE
+8,14140.1395,2026-08-07 08:52:10.478447,2026-08-07 09:53:45.122044,0 days 01:01:34.643597,63.5,0.14200000000000002,8.900000000000001e-05,COMPLETE
+9,13545.2939,2026-08-07 09:53:45.146057,2026-08-07 10:56:28.710454,0 days 01:02:43.564397,64.0,0.139,8.6e-05,COMPLETE
+10,,2026-08-07 10:56:28.736030,,,71.5,0.138,0.000106,RUNNING
diff --git a/abm_calibration/experiment_50/optuna_results.csv b/abm_calibration/experiment_50/optuna_results.csv
new file mode 100644
index 0000000..ab74105
--- /dev/null
+++ b/abm_calibration/experiment_50/optuna_results.csv
@@ -0,0 +1,7 @@
+number,value,datetime_start,datetime_complete,duration,params_average_time_transformation_random_rate,params_default_glucose_consumption_tumor_cell,state
+0,2605.5303,2026-08-07 14:32:24.027882,2026-08-07 14:54:33.346627,0 days 00:22:09.318745,45.85,0.5,COMPLETE
+1,2449.8189,2026-08-07 14:54:33.379830,2026-08-07 15:16:53.281549,0 days 00:22:19.901719,46.45,0.42,COMPLETE
+2,1240.2763,2026-08-07 15:16:53.307642,2026-08-07 15:33:56.905040,0 days 00:17:03.597398,45.45,0.32,COMPLETE
+3,825.1152,2026-08-07 15:33:56.929612,2026-08-07 15:51:28.605811,0 days 00:17:31.676199,45.300000000000004,0.48,COMPLETE
+4,4153.8974,2026-08-07 15:51:28.631348,2026-08-07 16:16:08.930317,0 days 00:24:40.298969,46.25,0.44,COMPLETE
+5,,2026-08-07 16:16:08.954119,,,45.2,0.5,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 981283c..43f366d 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,10 +29,10 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 31
+EXPERIMENT_ID = 50
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 0
+NUMBER_OF_TRIALS = 10000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
 NUMBER_MONTE_CARLO = 3
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
@@ -59,14 +59,14 @@ def run_ABM(params, seed):
     #     "basal_necrosis_probability_cancer_cells"
     # ]
 
-    # oxygen_limit_for_proliferation = params[
-    #     "oxygen_limit_for_proliferation"
-    # ]
-    basal_necrosis_probability_cancer_cells = params[
-        "basal_necrosis_probability_cancer_cells"
+    average_time_transformation_random_rate = params[
+        "average_time_transformation_random_rate"
+    ]
+    default_glucose_consumption_tumor_cell = params[
+        "default_glucose_consumption_tumor_cell"
     ]
-    # oxygen_saturation_for_proliferation = params[
-    #     "oxygen_saturation_for_proliferation"
+    # maximum_necrosis_lack_of_glucose_rate = params[
+    #     "maximum_necrosis_lack_of_glucose_rate"
     # ]
 
     # Change this configuration for the ABM run
@@ -77,13 +77,13 @@ def run_ABM(params, seed):
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": False,
-  "output_performance_statistics": False,
-  "total_minutes_to_simulate": 1440,
+  "diffuse_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": True,
+  "output_information_dependent_on_radius": true,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
@@ -102,27 +102,31 @@ def run_ABM(params, seed):
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 72.0,
+  "average_time_transformation_random_rate": 48,
   "standard_deviation_transformation_random_rate": 15.0,
+  "glucose_saturation_for_proliferation": 25,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "decay_constant_glucose": 0.0005,
   "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0.0,
+  "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": basal_necrosis_probability_cancer_cells,
+  "basal_necrosis_probability_cancer_cells": 0.0000047,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": False,
-  "add_glucose": False,
+  "add_immunostimulatory_factor": false,
+  "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
-  "decay_constant_glucose": 0.000001,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3000.0,
-  "default_glucose_consumption_tumor_cell": 0.145,
+  "max_radius_glucose_initialization": 3100.0,
   "default_glucose_consumption_cart": 0.145,
-  "dt_substances": 4320
+  "glucose_limit_for_proliferation": 0,
+  "glucose_limit_for_necrosis": 5,
+  "glucose_limit_for_necrosis_maximum": 0,
+  "maximum_necrosis_lack_of_glucose_rate": 0.0001
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -189,14 +193,20 @@ def compute_error():
     # target_tumor_cells_type5_dead_2880 = 350
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
-    row = df_s[df_s["total_minutes"] == 1440].iloc[0]
-    dead_cells_1440 = row["tumor_cells_type5_dead"]
-    dead_cells_1440_target = 200
-    # total_tumor_cells_4320 = row["num_tumor_cells"]
-    # target_total_tumor_cells_4320 = 38266
+    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
+    # dead_cells_4320 = row["tumor_cells_type5_dead"]
+    # dead_cells_4320_target = 2130
+    total_tumor_cells_4320 = row["num_tumor_cells"]
+    target_total_tumor_cells_4320 = 4143.0
+
+    # read value at minute 2880
+    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
+    average_glucose_2880 = row["average_glucose_all_cells"]
+    target_average_glucose_2880 = 5.5
+    
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(dead_cells_1440 - dead_cells_1440_target)
+    error_total_tumor_cells = abs(total_tumor_cells_4320 - target_total_tumor_cells_4320) + 10*abs(average_glucose_2880 - target_average_glucose_2880)
 
     return float(error_total_tumor_cells)
 
@@ -324,7 +334,9 @@ def objective(trial):
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        "basal_necrosis_probability_cancer_cells": trial.suggest_float("basal_necrosis_probability_cancer_cells", 0.0000040, 0.0000060, step=0.0000001),
+        "average_time_transformation_random_rate": trial.suggest_float("average_time_transformation_random_rate", 45.2, 46.9, step=0.05),
+        "default_glucose_consumption_tumor_cell": trial.suggest_float("default_glucose_consumption_tumor_cell", 0.3, 0.5, step=0.02),
+        # "maximum_necrosis_lack_of_glucose_rate": trial.suggest_float("maximum_necrosis_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 3e1282c..9deb9c9 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -27,18 +27,18 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 2880 # change this to the minute you want to plot
-# MINUTE = 4320 # change this to the minute you want to plot
-ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-ATTRIBUTE = "average_glucose_all_cells_radius"  # change this to the attribute you want to plot
+# MINUTE = 3240 # change this to the minute you want to plot
+MINUTE = 4320 # change this to the minute you want to plot
+# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
+ATTRIBUTE = "num_dead_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# other examples: "average_oncoprotein_radius", "average_oxygen_cancer_cells_radius",
+# other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-# APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+# APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
-Y_MAX = 25
+Y_MAX = None
 
 # ---- load data ----
 df = pd.read_csv(CSV_PATH)
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
index dad3deabacf450eb7b21482e47a50071cefa4ba7..e53b6fd17b56a85e2afe7b7fd4b2cc73e8223ae2 100644
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diff --git a/draft/config_glucose_not_affect_proliferation.json b/draft/config_glucose_not_affect_proliferation.json
new file mode 100644
index 0000000..25f69c7
--- /dev/null
+++ b/draft/config_glucose_not_affect_proliferation.json
@@ -0,0 +1,58 @@
+{
+  "seed": 9,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 12,
+  "standard_deviation_transformation_random_rate": 14.0,
+  "glucose_saturation_for_proliferation": 0,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 4.7e-06,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": false,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,
+  "default_glucose_consumption_cart": 0.145,
+  "glucose_limit_for_proliferation": 0,
+  "glucose_limit_for_necrosis": 5,
+  "glucose_limit_for_necrosis_maximum": 0,
+  "maximum_necrosis_lack_of_glucose_rate": 0.000093
+}
\ No newline at end of file
diff --git a/draft/config_very_variable_outcomes.json b/draft/config_very_variable_outcomes.json
new file mode 100644
index 0000000..dea4bbc
--- /dev/null
+++ b/draft/config_very_variable_outcomes.json
@@ -0,0 +1,58 @@
+{
+  "seed": 9,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 49,
+  "standard_deviation_transformation_random_rate": 14.0,
+  "glucose_saturation_for_proliferation": 25,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 4.7e-06,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": false,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,
+  "default_glucose_consumption_cart": 0.145,
+  "glucose_limit_for_proliferation": 0,
+  "glucose_limit_for_necrosis": 5,
+  "glucose_limit_for_necrosis_maximum": 0,
+  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+}
\ No newline at end of file
diff --git a/draft/execution_seed_9/data_dependent_on_radius_tumor.csv b/draft/execution_seed_9/data_dependent_on_radius_tumor.csv
new file mode 100644
index 0000000..bc69d54
--- /dev/null
+++ b/draft/execution_seed_9/data_dependent_on_radius_tumor.csv
@@ -0,0 +1,74 @@
+total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_150,num_dead_cells_radius_0_to_150,total_num_cells_radius_0_to_150,num_alive_tumor_cells_radius_0_to_150,total_num_tumor_cells_radius_0_to_150,num_alive_cart_cells_radius_0_to_150,num_dead_cart_cells_radius_0_to_150,tumor_cells_type1_radius_0_to_150,tumor_cells_type2_radius_0_to_150,tumor_cells_type3_radius_0_to_150,tumor_cells_type4_radius_0_to_150,tumor_cells_type5_dead_radius_0_to_150,average_oncoprotein_radius_0_to_150,average_oxygen_cancer_cells_radius_0_to_150,average_oxygen_all_cells_radius_0_to_150,average_glucose_cancer_cells_radius_0_to_150,average_glucose_all_cells_radius_0_to_150,num_alive_cells_radius_150_to_300,num_dead_cells_radius_150_to_300,total_num_cells_radius_150_to_300,num_alive_tumor_cells_radius_150_to_300,total_num_tumor_cells_radius_150_to_300,num_alive_cart_cells_radius_150_to_300,num_dead_cart_cells_radius_150_to_300,tumor_cells_type1_radius_150_to_300,tumor_cells_type2_radius_150_to_300,tumor_cells_type3_radius_150_to_300,tumor_cells_type4_radius_150_to_300,tumor_cells_type5_dead_radius_150_to_300,average_oncoprotein_radius_150_to_300,average_oxygen_cancer_cells_radius_150_to_300,average_oxygen_all_cells_radius_150_to_300,average_glucose_cancer_cells_radius_150_to_300,average_glucose_all_cells_radius_150_to_300,num_alive_cells_radius_300_to_450,num_dead_cells_radius_300_to_450,total_num_cells_radius_300_to_450,num_alive_tumor_cells_radius_300_to_450,total_num_tumor_cells_radius_300_to_450,num_alive_cart_cells_radius_300_to_450,num_dead_cart_cells_radius_300_to_450,tumor_cells_type1_radius_300_to_450,tumor_cells_type2_radius_300_to_450,tumor_cells_type3_radius_300_to_450,tumor_cells_type4_radius_300_to_450,tumor_cells_type5_dead_radius_300_to_450,average_oncoprotein_radius_300_to_450,average_oxygen_cancer_cells_radius_300_to_450,average_oxygen_all_cells_radius_300_to_450,average_glucose_cancer_cells_radius_300_to_450,average_glucose_all_cells_radius_300_to_450,num_alive_cells_radius_450_to_600,num_dead_cells_radius_450_to_600,total_num_cells_radius_450_to_600,num_alive_tumor_cells_radius_450_to_600,total_num_tumor_cells_radius_450_to_600,num_alive_cart_cells_radius_450_to_600,num_dead_cart_cells_radius_450_to_600,tumor_cells_type1_radius_450_to_600,tumor_cells_type2_radius_450_to_600,tumor_cells_type3_radius_450_to_600,tumor_cells_type4_radius_450_to_600,tumor_cells_type5_dead_radius_450_to_600,average_oncoprotein_radius_450_to_600,average_oxygen_cancer_cells_radius_450_to_600,average_oxygen_all_cells_radius_450_to_600,average_glucose_cancer_cells_radius_450_to_600,average_glucose_all_cells_radius_450_to_600,num_alive_cells_radius_600_to_750,num_dead_cells_radius_600_to_750,total_num_cells_radius_600_to_750,num_alive_tumor_cells_radius_600_to_750,total_num_tumor_cells_radius_600_to_750,num_alive_cart_cells_radius_600_to_750,num_dead_cart_cells_radius_600_to_750,tumor_cells_type1_radius_600_to_750,tumor_cells_type2_radius_600_to_750,tumor_cells_type3_radius_600_to_750,tumor_cells_type4_radius_600_to_750,tumor_cells_type5_dead_radius_600_to_750,average_oncoprotein_radius_600_to_750,average_oxygen_cancer_cells_radius_600_to_750,average_oxygen_all_cells_radius_600_to_750,average_glucose_cancer_cells_radius_600_to_750,average_glucose_all_cells_radius_600_to_750,num_alive_cells_radius_750_to_900,num_dead_cells_radius_750_to_900,total_num_cells_radius_750_to_900,num_alive_tumor_cells_radius_750_to_900,total_num_tumor_cells_radius_750_to_900,num_alive_cart_cells_radius_750_to_900,num_dead_cart_cells_radius_750_to_900,tumor_cells_type1_radius_750_to_900,tumor_cells_type2_radius_750_to_900,tumor_cells_type3_radius_750_to_900,tumor_cells_type4_radius_750_to_900,tumor_cells_type5_dead_radius_750_to_900,average_oncoprotein_radius_750_to_900,average_oxygen_cancer_cells_radius_750_to_900,average_oxygen_all_cells_radius_750_to_900,average_glucose_cancer_cells_radius_750_to_900,average_glucose_all_cells_radius_750_to_900,num_alive_cells_radius_900_to_1050,num_dead_cells_radius_900_to_1050,total_num_cells_radius_900_to_1050,num_alive_tumor_cells_radius_900_to_1050,total_num_tumor_cells_radius_900_to_1050,num_alive_cart_cells_radius_900_to_1050,num_dead_cart_cells_radius_900_to_1050,tumor_cells_type1_radius_900_to_1050,tumor_cells_type2_radius_900_to_1050,tumor_cells_type3_radius_900_to_1050,tumor_cells_type4_radius_900_to_1050,tumor_cells_type5_dead_radius_900_to_1050,average_oncoprotein_radius_900_to_1050,average_oxygen_cancer_cells_radius_900_to_1050,average_oxygen_all_cells_radius_900_to_1050,average_glucose_cancer_cells_radius_900_to_1050,average_glucose_all_cells_radius_900_to_1050,num_alive_cells_radius_1050_to_1200,num_dead_cells_radius_1050_to_1200,total_num_cells_radius_1050_to_1200,num_alive_tumor_cells_radius_1050_to_1200,total_num_tumor_cells_radius_1050_to_1200,num_alive_cart_cells_radius_1050_to_1200,num_dead_cart_cells_radius_1050_to_1200,tumor_cells_type1_radius_1050_to_1200,tumor_cells_type2_radius_1050_to_1200,tumor_cells_type3_radius_1050_to_1200,tumor_cells_type4_radius_1050_to_1200,tumor_cells_type5_dead_radius_1050_to_1200,average_oncoprotein_radius_1050_to_1200,average_oxygen_cancer_cells_radius_1050_to_1200,average_oxygen_all_cells_radius_1050_to_1200,average_glucose_cancer_cells_radius_1050_to_1200,average_glucose_all_cells_radius_1050_to_1200,num_alive_cells_radius_1200_to_1350,num_dead_cells_radius_1200_to_1350,total_num_cells_radius_1200_to_1350,num_alive_tumor_cells_radius_1200_to_1350,total_num_tumor_cells_radius_1200_to_1350,num_alive_cart_cells_radius_1200_to_1350,num_dead_cart_cells_radius_1200_to_1350,tumor_cells_type1_radius_1200_to_1350,tumor_cells_type2_radius_1200_to_1350,tumor_cells_type3_radius_1200_to_1350,tumor_cells_type4_radius_1200_to_1350,tumor_cells_type5_dead_radius_1200_to_1350,average_oncoprotein_radius_1200_to_1350,average_oxygen_cancer_cells_radius_1200_to_1350,average_oxygen_all_cells_radius_1200_to_1350,average_glucose_cancer_cells_radius_1200_to_1350,average_glucose_all_cells_radius_1200_to_1350,num_alive_cells_radius_1350_to_1500,num_dead_cells_radius_1350_to_1500,total_num_cells_radius_1350_to_1500,num_alive_tumor_cells_radius_1350_to_1500,total_num_tumor_cells_radius_1350_to_1500,num_alive_cart_cells_radius_1350_to_1500,num_dead_cart_cells_radius_1350_to_1500,tumor_cells_type1_radius_1350_to_1500,tumor_cells_type2_radius_1350_to_1500,tumor_cells_type3_radius_1350_to_1500,tumor_cells_type4_radius_1350_to_1500,tumor_cells_type5_dead_radius_1350_to_1500,average_oncoprotein_radius_1350_to_1500,average_oxygen_cancer_cells_radius_1350_to_1500,average_oxygen_all_cells_radius_1350_to_1500,average_glucose_cancer_cells_radius_1350_to_1500,average_glucose_all_cells_radius_1350_to_1500,num_alive_cells_radius_1500_to_1650,num_dead_cells_radius_1500_to_1650,total_num_cells_radius_1500_to_1650,num_alive_tumor_cells_radius_1500_to_1650,total_num_tumor_cells_radius_1500_to_1650,num_alive_cart_cells_radius_1500_to_1650,num_dead_cart_cells_radius_1500_to_1650,tumor_cells_type1_radius_1500_to_1650,tumor_cells_type2_radius_1500_to_1650,tumor_cells_type3_radius_1500_to_1650,tumor_cells_type4_radius_1500_to_1650,tumor_cells_type5_dead_radius_1500_to_1650,average_oncoprotein_radius_1500_to_1650,average_oxygen_cancer_cells_radius_1500_to_1650,average_oxygen_all_cells_radius_1500_to_1650,average_glucose_cancer_cells_radius_1500_to_1650,average_glucose_all_cells_radius_1500_to_1650,num_alive_cells_radius_1650_to_1800,num_dead_cells_radius_1650_to_1800,total_num_cells_radius_1650_to_1800,num_alive_tumor_cells_radius_1650_to_1800,total_num_tumor_cells_radius_1650_to_1800,num_alive_cart_cells_radius_1650_to_1800,num_dead_cart_cells_radius_1650_to_1800,tumor_cells_type1_radius_1650_to_1800,tumor_cells_type2_radius_1650_to_1800,tumor_cells_type3_radius_1650_to_1800,tumor_cells_type4_radius_1650_to_1800,tumor_cells_type5_dead_radius_1650_to_1800,average_oncoprotein_radius_1650_to_1800,average_oxygen_cancer_cells_radius_1650_to_1800,average_oxygen_all_cells_radius_1650_to_1800,average_glucose_cancer_cells_radius_1650_to_1800,average_glucose_all_cells_radius_1650_to_1800,num_alive_cells_radius_1800_to_1950,num_dead_cells_radius_1800_to_1950,total_num_cells_radius_1800_to_1950,num_alive_tumor_cells_radius_1800_to_1950,total_num_tumor_cells_radius_1800_to_1950,num_alive_cart_cells_radius_1800_to_1950,num_dead_cart_cells_radius_1800_to_1950,tumor_cells_type1_radius_1800_to_1950,tumor_cells_type2_radius_1800_to_1950,tumor_cells_type3_radius_1800_to_1950,tumor_cells_type4_radius_1800_to_1950,tumor_cells_type5_dead_radius_1800_to_1950,average_oncoprotein_radius_1800_to_1950,average_oxygen_cancer_cells_radius_1800_to_1950,average_oxygen_all_cells_radius_1800_to_1950,average_glucose_cancer_cells_radius_1800_to_1950,average_glucose_all_cells_radius_1800_to_1950,num_alive_cells_radius_1950_to_2100,num_dead_cells_radius_1950_to_2100,total_num_cells_radius_1950_to_2100,num_alive_tumor_cells_radius_1950_to_2100,total_num_tumor_cells_radius_1950_to_2100,num_alive_cart_cells_radius_1950_to_2100,num_dead_cart_cells_radius_1950_to_2100,tumor_cells_type1_radius_1950_to_2100,tumor_cells_type2_radius_1950_to_2100,tumor_cells_type3_radius_1950_to_2100,tumor_cells_type4_radius_1950_to_2100,tumor_cells_type5_dead_radius_1950_to_2100,average_oncoprotein_radius_1950_to_2100,average_oxygen_cancer_cells_radius_1950_to_2100,average_oxygen_all_cells_radius_1950_to_2100,average_glucose_cancer_cells_radius_1950_to_2100,average_glucose_all_cells_radius_1950_to_2100,num_alive_cells_radius_2100_to_2250,num_dead_cells_radius_2100_to_2250,total_num_cells_radius_2100_to_2250,num_alive_tumor_cells_radius_2100_to_2250,total_num_tumor_cells_radius_2100_to_2250,num_alive_cart_cells_radius_2100_to_2250,num_dead_cart_cells_radius_2100_to_2250,tumor_cells_type1_radius_2100_to_2250,tumor_cells_type2_radius_2100_to_2250,tumor_cells_type3_radius_2100_to_2250,tumor_cells_type4_radius_2100_to_2250,tumor_cells_type5_dead_radius_2100_to_2250,average_oncoprotein_radius_2100_to_2250,average_oxygen_cancer_cells_radius_2100_to_2250,average_oxygen_all_cells_radius_2100_to_2250,average_glucose_cancer_cells_radius_2100_to_2250,average_glucose_all_cells_radius_2100_to_2250,num_alive_cells_radius_2250_to_2400,num_dead_cells_radius_2250_to_2400,total_num_cells_radius_2250_to_2400,num_alive_tumor_cells_radius_2250_to_2400,total_num_tumor_cells_radius_2250_to_2400,num_alive_cart_cells_radius_2250_to_2400,num_dead_cart_cells_radius_2250_to_2400,tumor_cells_type1_radius_2250_to_2400,tumor_cells_type2_radius_2250_to_2400,tumor_cells_type3_radius_2250_to_2400,tumor_cells_type4_radius_2250_to_2400,tumor_cells_type5_dead_radius_2250_to_2400,average_oncoprotein_radius_2250_to_2400,average_oxygen_cancer_cells_radius_2250_to_2400,average_oxygen_all_cells_radius_2250_to_2400,average_glucose_cancer_cells_radius_2250_to_2400,average_glucose_all_cells_radius_2250_to_2400,num_alive_cells_radius_2400_to_2550,num_dead_cells_radius_2400_to_2550,total_num_cells_radius_2400_to_2550,num_alive_tumor_cells_radius_2400_to_2550,total_num_tumor_cells_radius_2400_to_2550,num_alive_cart_cells_radius_2400_to_2550,num_dead_cart_cells_radius_2400_to_2550,tumor_cells_type1_radius_2400_to_2550,tumor_cells_type2_radius_2400_to_2550,tumor_cells_type3_radius_2400_to_2550,tumor_cells_type4_radius_2400_to_2550,tumor_cells_type5_dead_radius_2400_to_2550,average_oncoprotein_radius_2400_to_2550,average_oxygen_cancer_cells_radius_2400_to_2550,average_oxygen_all_cells_radius_2400_to_2550,average_glucose_cancer_cells_radius_2400_to_2550,average_glucose_all_cells_radius_2400_to_2550,num_alive_cells_radius_2550_to_2700,num_dead_cells_radius_2550_to_2700,total_num_cells_radius_2550_to_2700,num_alive_tumor_cells_radius_2550_to_2700,total_num_tumor_cells_radius_2550_to_2700,num_alive_cart_cells_radius_2550_to_2700,num_dead_cart_cells_radius_2550_to_2700,tumor_cells_type1_radius_2550_to_2700,tumor_cells_type2_radius_2550_to_2700,tumor_cells_type3_radius_2550_to_2700,tumor_cells_type4_radius_2550_to_2700,tumor_cells_type5_dead_radius_2550_to_2700,average_oncoprotein_radius_2550_to_2700,average_oxygen_cancer_cells_radius_2550_to_2700,average_oxygen_all_cells_radius_2550_to_2700,average_glucose_cancer_cells_radius_2550_to_2700,average_glucose_all_cells_radius_2550_to_2700,num_alive_cells_radius_2700_to_2850,num_dead_cells_radius_2700_to_2850,total_num_cells_radius_2700_to_2850,num_alive_tumor_cells_radius_2700_to_2850,total_num_tumor_cells_radius_2700_to_2850,num_alive_cart_cells_radius_2700_to_2850,num_dead_cart_cells_radius_2700_to_2850,tumor_cells_type1_radius_2700_to_2850,tumor_cells_type2_radius_2700_to_2850,tumor_cells_type3_radius_2700_to_2850,tumor_cells_type4_radius_2700_to_2850,tumor_cells_type5_dead_radius_2700_to_2850,average_oncoprotein_radius_2700_to_2850,average_oxygen_cancer_cells_radius_2700_to_2850,average_oxygen_all_cells_radius_2700_to_2850,average_glucose_cancer_cells_radius_2700_to_2850,average_glucose_all_cells_radius_2700_to_2850,num_alive_cells_radius_2850_to_3000,num_dead_cells_radius_2850_to_3000,total_num_cells_radius_2850_to_3000,num_alive_tumor_cells_radius_2850_to_3000,total_num_tumor_cells_radius_2850_to_3000,num_alive_cart_cells_radius_2850_to_3000,num_dead_cart_cells_radius_2850_to_3000,tumor_cells_type1_radius_2850_to_3000,tumor_cells_type2_radius_2850_to_3000,tumor_cells_type3_radius_2850_to_3000,tumor_cells_type4_radius_2850_to_3000,tumor_cells_type5_dead_radius_2850_to_3000,average_oncoprotein_radius_2850_to_3000,average_oxygen_cancer_cells_radius_2850_to_3000,average_oxygen_all_cells_radius_2850_to_3000,average_glucose_cancer_cells_radius_2850_to_3000,average_glucose_all_cells_radius_2850_to_3000
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+1.33333,32,1920,64,1,65,64,65,0,0,0,64,0,0,1,1,5.27289,5.27289,9.38817,9.38817,206,2,208,206,208,0,0,0,206,0,0,2,1,5.40064,5.40064,9.38856,9.38856,333,2,335,333,335,0,0,0,333,0,0,2,1,5.67992,5.67992,9.39066,9.39066,498,3,501,498,501,0,0,0,498,0,0,3,1,6.13361,6.13361,9.39392,9.39392,597,5,602,597,602,0,0,0,597,0,0,5,1,6.7531,6.7531,9.39801,9.39801,778,7,785,778,785,0,0,0,778,0,0,7,1,7.58375,7.58375,9.40391,9.40391,867,12,879,867,879,0,0,0,867,0,0,12,1,8.5997,8.5997,9.40979,9.40979,1120,8,1128,1120,1128,0,0,0,1120,0,0,8,1,9.98304,9.98304,9.4176,9.4176,1218,15,1233,1218,1233,0,0,0,1218,0,0,15,1,11.6842,11.6842,9.42736,9.42736,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.8624,13.8624,9.43827,9.43827,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5222,16.5222,9.4497,9.4497,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.714,19.714,9.46267,9.46267,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7505,23.7505,9.47679,9.47679,1861,16,1877,1861,1877,0,0,0,1861,0,0,16,1,28.6203,28.6203,9.49203,9.49203,2019,22,2041,2019,2041,0,0,0,2019,0,0,22,1,34.8094,34.8094,9.50785,9.50785,2126,21,2147,2126,2147,0,0,0,2126,0,0,21,1,42.4453,42.4453,9.5265,9.5265,2310,22,2332,2310,2332,0,0,0,2310,0,0,22,1,51.7407,51.7407,9.54455,9.54455,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7495,62.7495,9.56444,9.56444,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.3223,77.3223,9.58385,9.58385,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1051,94.1051,9.60767,9.60767
+1.375,33,1980,64,1,65,64,65,0,0,0,64,0,0,1,1,5.27911,5.27911,9.11151,9.11151,205,3,208,205,208,0,0,0,205,0,0,3,1,5.40596,5.40596,9.11183,9.11183,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68489,5.68489,9.11387,9.11387,498,3,501,498,501,0,0,0,498,0,0,3,1,6.13825,6.13825,9.11702,9.11702,597,5,602,597,602,0,0,0,597,0,0,5,1,6.75758,6.75758,9.12097,9.12097,778,7,785,778,785,0,0,0,778,0,0,7,1,7.58848,7.58848,9.12671,9.12671,867,12,879,867,879,0,0,0,867,0,0,12,1,8.60488,8.60488,9.13241,9.13241,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.98853,9.98853,9.13999,9.13999,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6893,11.6893,9.14946,9.14946,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.867,13.867,9.16004,9.16004,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5262,16.5262,9.17111,9.17111,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.7179,19.7179,9.18368,9.18368,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7545,23.7545,9.19737,9.19737,1859,18,1877,1859,1877,0,0,0,1859,0,0,18,1,28.6246,28.6246,9.21216,9.21216,2018,22,2040,2018,2040,0,0,0,2018,0,0,22,1,34.8131,34.8131,9.22748,9.22748,2127,21,2148,2127,2148,0,0,0,2127,0,0,21,1,42.4453,42.4453,9.2456,9.2456,2309,23,2332,2309,2332,0,0,0,2309,0,0,23,1,51.7447,51.7447,9.26311,9.26311,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7506,62.7506,9.2824,9.2824,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.325,77.325,9.30123,9.30123,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.107,94.107,9.32435,9.32435
+1.41667,34,2040,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28048,5.28048,8.84298,8.84298,205,3,208,205,208,0,0,0,205,0,0,3,1,5.40756,5.40756,8.84327,8.84327,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68655,5.68655,8.84525,8.84525,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14009,6.14009,8.84831,8.84831,596,6,602,596,602,0,0,0,596,0,0,6,1,6.75981,6.75981,8.85213,8.85213,778,7,785,778,785,0,0,0,778,0,0,7,1,7.59049,7.59049,8.8577,8.8577,867,12,879,867,879,0,0,0,867,0,0,12,1,8.60672,8.60672,8.86321,8.86321,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.99008,9.99008,8.87057,8.87057,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6912,11.6912,8.87975,8.87975,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.8688,13.8688,8.89002,8.89002,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5284,16.5284,8.90074,8.90074,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.7206,19.7206,8.91293,8.91293,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7572,23.7572,8.92621,8.92621,1858,19,1877,1858,1877,0,0,0,1858,0,0,19,1,28.628,28.628,8.94057,8.94057,2018,22,2040,2018,2040,0,0,0,2018,0,0,22,1,34.8161,34.8161,8.95541,8.95541,2127,21,2148,2127,2148,0,0,0,2127,0,0,21,1,42.4471,42.4471,8.97299,8.97299,2309,23,2332,2309,2332,0,0,0,2309,0,0,23,1,51.7463,51.7463,8.98998,8.98998,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7518,62.7518,9.00869,9.00869,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.3259,77.3259,9.02696,9.02696,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1076,94.1076,9.04941,9.04941
+1.45833,35,2100,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28386,5.28386,8.58235,8.58235,205,3,208,205,208,0,0,0,205,0,0,3,1,5.41077,5.41077,8.5826,8.5826,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68998,5.68998,8.58453,8.58453,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14381,6.14381,8.5875,8.5875,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76384,6.76384,8.5912,8.5912,777,8,785,777,785,0,0,0,777,0,0,8,1,7.59483,7.59483,8.59661,8.59661,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61097,8.61097,8.60194,8.60194,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.99474,9.99474,8.60908,8.60908,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6968,11.6968,8.61799,8.61799,1327,7,1334,1327,1334,0,0,0,1327,0,0,7,1,13.8748,13.8748,8.62796,8.62796,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5345,16.5345,8.63836,8.63836,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7275,19.7275,8.65018,8.65018,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7645,23.7645,8.66306,8.66306,1857,20,1877,1857,1877,0,0,0,1857,0,0,20,1,28.6366,28.6366,8.677,8.677,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8255,34.8255,8.69138,8.69138,2125,23,2148,2125,2148,0,0,0,2125,0,0,23,1,42.4573,42.4573,8.70845,8.70845,2308,24,2332,2308,2332,0,0,0,2308,0,0,24,1,51.7573,51.7573,8.72493,8.72493,2345,31,2376,2345,2376,0,0,0,2345,0,0,31,1,62.7617,62.7617,8.74308,8.74308,2584,30,2614,2584,2614,0,0,0,2584,0,0,30,1,77.3335,77.3335,8.7608,8.7608,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1131,94.1131,8.7826,8.7826
+1.5,36,2160,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28535,5.28535,8.32941,8.32941,205,3,208,205,208,0,0,0,205,0,0,3,1,5.41235,5.41235,8.32963,8.32963,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69162,5.69162,8.3315,8.3315,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14565,6.14565,8.33438,8.33438,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76584,6.76584,8.33796,8.33796,777,8,785,777,785,0,0,0,777,0,0,8,1,7.59712,7.59712,8.34322,8.34322,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61352,8.61352,8.34838,8.34838,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.9976,9.9976,8.35533,8.35533,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7001,11.7001,8.36398,8.36398,1327,7,1334,1327,1334,0,0,0,1327,0,0,7,1,13.8787,13.8787,8.37365,8.37365,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5392,16.5392,8.38373,8.38373,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7333,19.7333,8.3952,8.3952,1665,24,1689,1665,1689,0,0,0,1665,0,0,24,1,23.7705,23.7705,8.4077,8.4077,1857,20,1877,1857,1877,0,0,0,1857,0,0,20,1,28.643,28.643,8.42123,8.42123,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8315,34.8315,8.43517,8.43517,2125,23,2148,2125,2148,0,0,0,2125,0,0,23,1,42.4631,42.4631,8.45173,8.45173,2308,24,2332,2308,2332,0,0,0,2308,0,0,24,1,51.7628,51.7628,8.46772,8.46772,2345,31,2376,2345,2376,0,0,0,2345,0,0,31,1,62.7675,62.7675,8.48533,8.48533,2583,31,2614,2583,2614,0,0,0,2583,0,0,31,1,77.3391,77.3391,8.50251,8.50251,2645,26,2671,2645,2671,0,0,0,2645,0,0,26,1,94.1186,94.1186,8.52368,8.52368
+1.54167,37,2220,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28921,5.28921,8.08395,8.08395,204,4,208,204,208,0,0,0,204,0,0,4,1,5.41686,5.41686,8.08415,8.08415,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69534,5.69534,8.08596,8.08596,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14891,6.14891,8.08874,8.08874,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76899,6.76899,8.09219,8.09219,777,8,785,777,785,0,0,0,777,0,0,8,1,7.60036,7.60036,8.09731,8.09731,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61696,8.61696,8.1023,8.1023,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,10.0014,10.0014,8.10905,8.10905,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7044,11.7044,8.11745,8.11745,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.884,13.884,8.12685,8.12685,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5448,16.5448,8.13661,8.13661,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7391,19.7391,8.14774,8.14774,1666,24,1690,1666,1690,0,0,0,1666,0,0,24,1,23.7794,23.7794,8.15987,8.15987,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6521,28.6521,8.173,8.173,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8412,34.8412,8.18651,8.18651,2124,24,2148,2124,2148,0,0,0,2124,0,0,24,1,42.4742,42.4742,8.2026,8.2026,2307,25,2332,2307,2332,0,0,0,2307,0,0,25,1,51.7752,51.7752,8.21811,8.21811,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7808,62.7808,8.2352,8.2352,2581,33,2614,2581,2614,0,0,0,2581,0,0,33,1,77.3515,77.3515,8.25187,8.25187,2645,26,2671,2645,2671,0,0,0,2645,0,0,26,1,94.1284,94.1284,8.27242,8.27242
+1.58333,38,2280,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29007,5.29007,7.84572,7.84572,204,4,208,204,208,0,0,0,204,0,0,4,1,5.41772,5.41772,7.84588,7.84588,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69624,5.69624,7.84764,7.84764,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14986,6.14986,7.85034,7.85034,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77001,6.77001,7.85368,7.85368,777,8,785,777,785,0,0,0,777,0,0,8,1,7.60157,7.60157,7.85866,7.85866,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61831,8.61831,7.86349,7.86349,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,10.0029,10.0029,7.87005,7.87005,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7062,11.7062,7.87819,7.87819,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.886,13.886,7.88732,7.88732,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5474,16.5474,7.89679,7.89679,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7422,19.7422,7.90758,7.90758,1666,24,1690,1666,1690,0,0,0,1666,0,0,24,1,23.7827,23.7827,7.91935,7.91935,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6562,28.6562,7.93211,7.93211,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8462,34.8462,7.94521,7.94521,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4809,42.4809,7.96083,7.96083,2306,26,2332,2306,2332,0,0,0,2306,0,0,26,1,51.7818,51.7818,7.97588,7.97588,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7867,62.7867,7.99246,7.99246,2580,34,2614,2580,2614,0,0,0,2580,0,0,34,1,77.3574,77.3574,8.00863,8.00863,2644,27,2671,2644,2671,0,0,0,2644,0,0,27,1,94.1338,94.1338,8.02858,8.02858
+1.625,39,2340,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29364,5.29364,7.61452,7.61452,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42163,5.42163,7.61466,7.61466,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7003,5.7003,7.61638,7.61638,498,3,501,498,501,0,0,0,498,0,0,3,1,6.15435,6.15435,7.619,7.619,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77489,6.77489,7.62223,7.62223,776,9,785,776,785,0,0,0,776,0,0,9,1,7.60656,7.60656,7.62707,7.62707,866,13,879,866,879,0,0,0,866,0,0,13,1,8.6235,8.6235,7.63175,7.63175,1118,10,1128,1118,1128,0,0,0,1118,0,0,10,1,10.0083,10.0083,7.63812,7.63812,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7114,11.7114,7.64602,7.64602,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.8913,13.8913,7.65488,7.65488,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5526,16.5526,7.66406,7.66406,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7479,19.7479,7.67452,7.67452,1665,25,1690,1665,1690,0,0,0,1665,0,0,25,1,23.7887,23.7887,7.68595,7.68595,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6622,28.6622,7.69832,7.69832,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8521,34.8521,7.71102,7.71102,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4876,42.4876,7.72619,7.72619,2306,26,2332,2306,2332,0,0,0,2306,0,0,26,1,51.7893,51.7893,7.74079,7.74079,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7951,62.7951,7.75689,7.75689,2578,36,2614,2578,2614,0,0,0,2578,0,0,36,1,77.3663,77.3663,7.77257,7.77257,2643,28,2671,2643,2671,0,0,0,2643,0,0,28,1,94.1412,94.1412,7.79195,7.79195
+1.66667,40,2400,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29455,5.29455,7.39015,7.39015,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42265,5.42265,7.39027,7.39027,333,2,335,333,335,0,0,0,333,0,0,2,1,5.70135,5.70135,7.39193,7.39193,498,3,501,498,501,0,0,0,498,0,0,3,1,6.15551,6.15551,7.39447,7.39447,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77621,6.77621,7.3976,7.3976,776,9,785,776,785,0,0,0,776,0,0,9,1,7.60798,7.60798,7.40231,7.40231,866,13,879,866,879,0,0,0,866,0,0,13,1,8.6252,8.6252,7.40684,7.40684,1118,10,1128,1118,1128,0,0,0,1118,0,0,10,1,10.0105,10.0105,7.41303,7.41303,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.714,11.714,7.42069,7.42069,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.8942,13.8942,7.42929,7.42929,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5558,16.5558,7.43819,7.43819,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7518,19.7518,7.44834,7.44834,1665,25,1690,1665,1690,0,0,0,1665,0,0,25,1,23.7934,23.7934,7.45943,7.45943,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6678,28.6678,7.47144,7.47144,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8591,34.8591,7.48376,7.48376,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4957,42.4957,7.49849,7.49849,2305,27,2332,2305,2332,0,0,0,2305,0,0,27,1,51.8006,51.8006,7.51266,7.51266,2343,33,2376,2343,2376,0,0,0,2343,0,0,33,1,62.8056,62.8056,7.52828,7.52828,2576,38,2614,2576,2614,0,0,0,2576,0,0,38,1,77.3776,77.3776,7.54349,7.54349,2642,29,2671,2642,2671,0,0,0,2642,0,0,29,1,94.1511,94.1511,7.56231,7.56231
+1.70833,41,2460,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29902,5.29902,7.1724,7.1724,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42747,5.42747,7.17249,7.17249,333,2,335,333,335,0,0,0,333,0,0,2,1,5.70633,5.70633,7.17411,7.17411,498,3,501,498,501,0,0,0,498,0,0,3,1,6.1607,6.1607,7.17658,7.17658,596,6,602,596,602,0,0,0,596,0,0,6,1,6.78202,6.78202,7.17961,7.17961,776,9,785,776,785,0,0,0,776,0,0,9,1,7.61463,7.61463,7.1842,7.1842,865,14,879,865,879,0,0,0,865,0,0,14,1,8.63231,8.63231,7.18858,7.18858,1117,11,1128,1117,1128,0,0,0,1117,0,0,11,1,10.0179,10.0179,7.1946,7.1946,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7223,11.7223,7.20204,7.20204,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.9023,13.9023,7.21039,7.21039,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5648,16.5648,7.21901,7.21901,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7613,19.7613,7.22886,7.22886,1664,26,1690,1664,1690,0,0,0,1664,0,0,26,1,23.804,23.804,7.23962,7.23962,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6792,28.6792,7.25128,7.25128,2016,24,2040,2016,2040,0,0,0,2016,0,0,24,1,34.8725,34.8725,7.26322,7.26322,2122,26,2148,2122,2148,0,0,0,2122,0,0,26,1,42.51,42.51,7.27753,7.27753,2302,30,2332,2302,2332,0,0,0,2302,0,0,30,1,51.8164,51.8164,7.29128,7.29128,2342,34,2376,2342,2376,0,0,0,2342,0,0,34,1,62.8204,62.8204,7.30643,7.30643,2576,38,2614,2576,2614,0,0,0,2576,0,0,38,1,77.3902,77.3902,7.32119,7.32119,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1626,94.1626,7.33946,7.33946
+1.75,42,2520,63,2,65,63,65,0,0,0,63,0,0,2,1,5.30648,5.30648,6.96117,6.96117,204,4,208,204,208,0,0,0,204,0,0,4,1,5.43333,5.43333,6.96122,6.96122,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7116,5.7116,6.96278,6.96278,498,3,501,498,501,0,0,0,498,0,0,3,1,6.16579,6.16579,6.96517,6.96517,596,6,602,596,602,0,0,0,596,0,0,6,1,6.78734,6.78734,6.96809,6.96809,776,9,785,776,785,0,0,0,776,0,0,9,1,7.62003,7.62003,6.97255,6.97255,864,15,879,864,879,0,0,0,864,0,0,15,1,8.63833,8.63833,6.9768,6.9768,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0239,10.0239,6.98264,6.98264,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7286,11.7286,6.98986,6.98986,1324,10,1334,1324,1334,0,0,0,1324,0,0,10,1,13.9093,13.9093,6.99796,6.99796,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5721,16.5721,7.00632,7.00632,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7696,19.7696,7.01587,7.01587,1664,26,1690,1664,1690,0,0,0,1664,0,0,26,1,23.8137,23.8137,7.02631,7.02631,1855,21,1876,1855,1876,0,0,0,1855,0,0,21,1,28.6908,28.6908,7.03764,7.03764,2016,24,2040,2016,2040,0,0,0,2016,0,0,24,1,34.8847,34.8847,7.04922,7.04922,2122,26,2148,2122,2148,0,0,0,2122,0,0,26,1,42.5243,42.5243,7.06311,7.06311,2300,32,2332,2300,2332,0,0,0,2300,0,0,32,1,51.8314,51.8314,7.07645,7.07645,2341,35,2376,2341,2376,0,0,0,2341,0,0,35,1,62.8365,62.8365,7.09115,7.09115,2573,41,2614,2573,2614,0,0,0,2573,0,0,41,1,77.4059,77.4059,7.10547,7.10547,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1742,94.1742,7.1232,7.1232
+1.79167,43,2580,63,2,65,63,65,0,0,0,63,0,0,2,1,5.31283,5.31283,6.75614,6.75614,204,4,208,204,208,0,0,0,204,0,0,4,1,5.43946,5.43946,6.75617,6.75617,333,2,335,333,335,0,0,0,333,0,0,2,1,5.71818,5.71818,6.75769,6.75769,497,4,501,497,501,0,0,0,497,0,0,4,1,6.17308,6.17308,6.76002,6.76002,595,7,602,595,602,0,0,0,595,0,0,7,1,6.79453,6.79453,6.76285,6.76285,776,9,785,776,785,0,0,0,776,0,0,9,1,7.62757,7.62757,6.76718,6.76718,864,15,879,864,879,0,0,0,864,0,0,15,1,8.64596,8.64596,6.77129,6.77129,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0319,10.0319,6.77697,6.77697,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.738,11.738,6.78398,6.78398,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.919,13.919,6.79184,6.79184,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.5818,16.5818,6.79994,6.79994,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7799,19.7799,6.8092,6.8092,1663,27,1690,1663,1690,0,0,0,1663,0,0,27,1,23.8239,23.8239,6.81933,6.81933,1855,21,1876,1855,1876,0,0,0,1855,0,0,21,1,28.7019,28.7019,6.83032,6.83032,2015,25,2040,2015,2040,0,0,0,2015,0,0,25,1,34.8964,34.8964,6.84155,6.84155,2121,27,2148,2121,2148,0,0,0,2121,0,0,27,1,42.5367,42.5367,6.85503,6.85503,2299,33,2332,2299,2332,0,0,0,2299,0,0,33,1,51.8443,51.8443,6.86797,6.86797,2339,37,2376,2339,2376,0,0,0,2339,0,0,37,1,62.8494,62.8494,6.88224,6.88224,2572,42,2614,2572,2614,0,0,0,2572,0,0,42,1,77.417,77.417,6.89612,6.89612,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1824,94.1824,6.91334,6.91334
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+1.875,45,2700,63,2,65,63,65,0,0,0,63,0,0,2,1,5.31866,5.31866,6.3641,6.3641,204,4,208,204,208,0,0,0,204,0,0,4,1,5.44538,5.44538,6.36409,6.36409,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7244,5.7244,6.36553,6.36553,496,5,501,496,501,0,0,0,496,0,0,5,1,6.17972,6.17972,6.36772,6.36772,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80132,6.80132,6.37036,6.37036,775,10,785,775,785,0,0,0,775,0,0,10,1,7.63472,7.63472,6.37444,6.37444,864,15,879,864,879,0,0,0,864,0,0,15,1,8.65328,8.65328,6.37829,6.37829,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0396,10.0396,6.38365,6.38365,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7466,11.7466,6.39025,6.39025,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9291,13.9291,6.39766,6.39766,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.5936,16.5936,6.40527,6.40527,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7936,19.7936,6.41399,6.41399,1663,27,1690,1663,1690,0,0,0,1663,0,0,27,1,23.8398,23.8398,6.42353,6.42353,1853,23,1876,1853,1876,0,0,0,1853,0,0,23,1,28.7211,28.7211,6.43389,6.43389,2013,27,2040,2013,2040,0,0,0,2013,0,0,27,1,34.9163,34.9163,6.44444,6.44444,2121,27,2148,2121,2148,0,0,0,2121,0,0,27,1,42.5586,42.5586,6.45715,6.45715,2297,35,2332,2297,2332,0,0,0,2297,0,0,35,1,51.8676,51.8676,6.46932,6.46932,2339,37,2376,2339,2376,0,0,0,2339,0,0,37,1,62.8737,62.8737,6.48275,6.48275,2568,46,2614,2568,2614,0,0,0,2568,0,0,46,1,77.4409,77.4409,6.49581,6.49581,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2052,94.2052,6.51205,6.51205
+1.91667,46,2760,63,2,65,63,65,0,0,0,63,0,0,2,1,5.32357,5.32357,6.17674,6.17674,203,5,208,203,208,0,0,0,203,0,0,5,1,5.44993,5.44993,6.1767,6.1767,333,2,335,333,335,0,0,0,333,0,0,2,1,5.72905,5.72905,6.1781,6.1781,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18393,6.18393,6.18021,6.18021,595,7,602,595,602,0,0,0,595,0,0,7,1,6.8053,6.8053,6.18276,6.18276,775,10,785,775,785,0,0,0,775,0,0,10,1,7.63894,7.63894,6.18673,6.18673,864,15,879,864,879,0,0,0,864,0,0,15,1,8.65787,8.65787,6.19045,6.19045,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0447,10.0447,6.19566,6.19566,1213,20,1233,1213,1233,0,0,0,1213,0,0,20,1,11.7522,11.7522,6.20207,6.20207,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9352,13.9352,6.20925,6.20925,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6002,16.6002,6.21664,6.21664,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8006,19.8006,6.22509,6.22509,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8483,23.8483,6.23435,6.23435,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7303,28.7303,6.24441,6.24441,2012,28,2040,2012,2040,0,0,0,2012,0,0,28,1,34.9261,34.9261,6.25464,6.25464,2120,28,2148,2120,2148,0,0,0,2120,0,0,28,1,42.569,42.569,6.26698,6.26698,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.8772,51.8772,6.27879,6.27879,2337,39,2376,2337,2376,0,0,0,2337,0,0,39,1,62.8818,62.8818,6.29182,6.29182,2568,46,2614,2568,2614,0,0,0,2568,0,0,46,1,77.4467,77.4467,6.30449,6.30449,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2089,94.2089,6.32025,6.32025
+1.95833,47,2820,63,2,65,63,65,0,0,0,63,0,0,2,1,5.32601,5.32601,5.99488,5.99488,203,5,208,203,208,0,0,0,203,0,0,5,1,5.45251,5.45251,5.99482,5.99482,333,2,335,333,335,0,0,0,333,0,0,2,1,5.73176,5.73176,5.99619,5.99619,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18683,6.18683,5.99824,5.99824,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80855,6.80855,6.0007,6.0007,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64255,7.64255,6.00456,6.00456,864,15,879,864,879,0,0,0,864,0,0,15,1,8.66195,8.66195,6.00816,6.00816,1115,13,1128,1115,1128,0,0,0,1115,0,0,13,1,10.0495,10.0495,6.01323,6.01323,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7574,11.7574,6.01945,6.01945,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9404,13.9404,6.02642,6.02642,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6059,16.6059,6.03358,6.03358,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8071,19.8071,6.04178,6.04178,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8552,23.8552,6.05077,6.05077,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7384,28.7384,6.06053,6.06053,2012,28,2040,2012,2040,0,0,0,2012,0,0,28,1,34.9356,34.9356,6.07045,6.07045,2119,29,2148,2119,2148,0,0,0,2119,0,0,29,1,42.5796,42.5796,6.08243,6.08243,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.888,51.888,6.09389,6.09389,2336,40,2376,2336,2376,0,0,0,2336,0,0,40,1,62.8934,62.8934,6.10654,6.10654,2567,47,2614,2567,2614,0,0,0,2567,0,0,47,1,77.4568,77.4568,6.11882,6.11882,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2165,94.2165,6.13412,6.13412
+2,48,2880,63,2,65,63,65,0,0,0,63,0,0,2,1,5.3269,5.3269,5.81839,5.81839,203,5,208,203,208,0,0,0,203,0,0,5,1,5.45347,5.45347,5.81831,5.81831,333,2,335,333,335,0,0,0,333,0,0,2,1,5.73277,5.73277,5.81964,5.81964,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18792,6.18792,5.82162,5.82162,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80979,6.80979,5.82401,5.82401,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64388,7.64388,5.82776,5.82776,864,15,879,864,879,0,0,0,864,0,0,15,1,8.6635,8.6635,5.83125,5.83125,1115,13,1128,1115,1128,0,0,0,1115,0,0,13,1,10.0514,10.0514,5.83618,5.83618,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7596,11.7596,5.84221,5.84221,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.943,13.943,5.84898,5.84898,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6088,16.6088,5.85592,5.85592,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8108,19.8108,5.86387,5.86387,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8596,23.8596,5.8726,5.8726,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7439,28.7439,5.88208,5.88208,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9423,34.9423,5.89169,5.89169,2118,30,2148,2118,2148,0,0,0,2118,0,0,30,1,42.586,42.586,5.90333,5.90333,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.8947,51.8947,5.91444,5.91444,2335,41,2376,2335,2376,0,0,0,2335,0,0,41,1,62.9004,62.9004,5.92671,5.92671,2566,48,2614,2566,2614,0,0,0,2566,0,0,48,1,77.4635,77.4635,5.93863,5.93863,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2219,94.2219,5.95349,5.95349
+2.04167,49,2940,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33289,5.33289,5.64712,5.64712,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46013,5.46013,5.64703,5.64703,331,4,335,331,335,0,0,0,331,0,0,4,1,5.7392,5.7392,5.64832,5.64832,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19373,6.19373,5.65024,5.65024,595,7,602,595,602,0,0,0,595,0,0,7,1,6.81529,6.81529,5.65253,5.65253,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64912,7.64912,5.65618,5.65618,864,15,879,864,879,0,0,0,864,0,0,15,1,8.66904,8.66904,5.65956,5.65956,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0573,10.0573,5.66435,5.66435,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7654,11.7654,5.6702,5.6702,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9494,13.9494,5.67678,5.67678,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6158,16.6158,5.68351,5.68351,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8188,19.8188,5.69122,5.69122,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8677,23.8677,5.69969,5.69969,1850,26,1876,1850,1876,0,0,0,1850,0,0,26,1,28.7518,28.7518,5.70889,5.70889,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9498,34.9498,5.71821,5.71821,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.5933,42.5933,5.72951,5.72951,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9,51.9,5.74029,5.74029,2335,41,2376,2335,2376,0,0,0,2335,0,0,41,1,62.9047,62.9047,5.7522,5.7522,2566,48,2614,2566,2614,0,0,0,2566,0,0,48,1,77.4668,77.4668,5.76375,5.76375,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.224,94.224,5.77818,5.77818
+2.08333,50,3000,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33704,5.33704,5.48092,5.48092,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46404,5.46404,5.48082,5.48082,330,5,335,330,335,0,0,0,330,0,0,5,1,5.74304,5.74304,5.48207,5.48207,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19712,6.19712,5.48392,5.48392,595,7,602,595,602,0,0,0,595,0,0,7,1,6.81837,6.81837,5.48614,5.48614,775,10,785,775,785,0,0,0,775,0,0,10,1,7.65244,7.65244,5.48968,5.48968,864,15,879,864,879,0,0,0,864,0,0,15,1,8.67247,8.67247,5.49295,5.49295,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0612,10.0612,5.4976,5.4976,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7698,11.7698,5.50328,5.50328,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9546,13.9546,5.50967,5.50967,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6211,16.6211,5.51619,5.51619,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8246,19.8246,5.52367,5.52367,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8742,23.8742,5.53189,5.53189,1849,27,1876,1849,1876,0,0,0,1849,0,0,27,1,28.76,28.76,5.54082,5.54082,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9581,34.9581,5.54985,5.54985,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.6029,42.6029,5.56082,5.56082,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9116,51.9116,5.57128,5.57128,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9174,62.9174,5.58283,5.58283,2565,49,2614,2565,2614,0,0,0,2565,0,0,49,1,77.4818,77.4818,5.59405,5.59405,2635,36,2671,2635,2671,0,0,0,2635,0,0,36,1,94.2386,94.2386,5.60806,5.60806
+2.125,51,3060,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33931,5.33931,5.31962,5.31962,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46641,5.46641,5.3195,5.3195,330,5,335,330,335,0,0,0,330,0,0,5,1,5.74557,5.74557,5.32072,5.32072,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19995,6.19995,5.32251,5.32251,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82172,6.82172,5.32466,5.32466,775,10,785,775,785,0,0,0,775,0,0,10,1,7.6557,7.6557,5.3281,5.3281,864,15,879,864,879,0,0,0,864,0,0,15,1,8.6758,8.6758,5.33126,5.33126,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0646,10.0646,5.33578,5.33578,1211,22,1233,1211,1233,0,0,0,1211,0,0,22,1,11.7734,11.7734,5.34128,5.34128,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.959,13.959,5.34749,5.34749,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6257,16.6257,5.35381,5.35381,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8302,19.8302,5.36106,5.36106,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8808,23.8808,5.36904,5.36904,1848,28,1876,1848,1876,0,0,0,1848,0,0,28,1,28.7679,28.7679,5.37771,5.37771,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.967,34.967,5.38647,5.38647,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.611,42.611,5.39712,5.39712,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9198,51.9198,5.40727,5.40727,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9249,62.9249,5.41848,5.41848,2564,50,2614,2564,2614,0,0,0,2564,0,0,50,1,77.4885,77.4885,5.42936,5.42936,2635,36,2671,2635,2671,0,0,0,2635,0,0,36,1,94.243,94.243,5.44296,5.44296
+2.16667,52,3120,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34347,5.34347,5.16306,5.16306,203,5,208,203,208,0,0,0,203,0,0,5,1,5.47057,5.47057,5.16293,5.16293,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75001,5.75001,5.16411,5.16411,496,5,501,496,501,0,0,0,496,0,0,5,1,6.20488,6.20488,5.16586,5.16586,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82711,6.82711,5.16793,5.16793,775,10,785,775,785,0,0,0,775,0,0,10,1,7.66173,7.66173,5.17128,5.17128,864,15,879,864,879,0,0,0,864,0,0,15,1,8.68248,8.68248,5.17434,5.17434,1113,15,1128,1113,1128,0,0,0,1113,0,0,15,1,10.0725,10.0725,5.17874,5.17874,1210,23,1233,1210,1233,0,0,0,1210,0,0,23,1,11.7822,11.7822,5.18409,5.18409,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9685,13.9685,5.19011,5.19011,1527,17,1544,1527,1544,0,0,0,1527,0,0,17,1,16.6359,16.6359,5.19624,5.19624,1615,24,1639,1615,1639,0,0,0,1615,0,0,24,1,19.8409,19.8409,5.20327,5.20327,1659,31,1690,1659,1690,0,0,0,1659,0,0,31,1,23.8922,23.8922,5.21101,5.21101,1847,29,1876,1847,1876,0,0,0,1847,0,0,29,1,28.7786,28.7786,5.21943,5.21943,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9772,34.9772,5.22792,5.22792,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.6215,42.6215,5.23826,5.23826,2293,39,2332,2293,2332,0,0,0,2293,0,0,39,1,51.9314,51.9314,5.2481,5.2481,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9362,62.9362,5.25898,5.25898,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.4989,77.4989,5.26953,5.26953,2634,37,2671,2634,2671,0,0,0,2634,0,0,37,1,94.2522,94.2522,5.28273,5.28273
+2.20833,53,3180,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34496,5.34496,5.01112,5.01112,203,5,208,203,208,0,0,0,203,0,0,5,1,5.47214,5.47214,5.01098,5.01098,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75168,5.75168,5.01213,5.01213,496,5,501,496,501,0,0,0,496,0,0,5,1,6.20664,6.20664,5.01383,5.01383,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82909,6.82909,5.01584,5.01584,775,10,785,775,785,0,0,0,775,0,0,10,1,7.66393,7.66393,5.01909,5.01909,864,15,879,864,879,0,0,0,864,0,0,15,1,8.68506,8.68506,5.02206,5.02206,1113,15,1128,1113,1128,0,0,0,1113,0,0,15,1,10.0756,10.0756,5.02634,5.02634,1210,23,1233,1210,1233,0,0,0,1210,0,0,23,1,11.7858,11.7858,5.03152,5.03152,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9727,13.9727,5.03738,5.03738,1527,17,1544,1527,1544,0,0,0,1527,0,0,17,1,16.6409,16.6409,5.04331,5.04331,1613,26,1639,1613,1639,0,0,0,1613,0,0,26,1,19.8466,19.8466,5.05014,5.05014,1659,31,1690,1659,1690,0,0,0,1659,0,0,31,1,23.8979,23.8979,5.05765,5.05765,1847,29,1876,1847,1876,0,0,0,1847,0,0,29,1,28.7847,28.7847,5.06582,5.06582,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9847,34.9847,5.07405,5.07405,2114,34,2148,2114,2148,0,0,0,2114,0,0,34,1,42.6297,42.6297,5.08408,5.08408,2292,40,2332,2292,2332,0,0,0,2292,0,0,40,1,51.94,51.94,5.09363,5.09363,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9441,62.9441,5.10418,5.10418,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.5056,77.5056,5.11442,5.11442,2633,38,2671,2633,2671,0,0,0,2633,0,0,38,1,94.2584,94.2584,5.12724,5.12724
+2.25,54,3240,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34897,5.34897,4.86367,4.86367,203,5,208,203,208,0,0,0,203,0,0,5,1,5.4762,5.4762,4.86351,4.86351,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75606,5.75606,4.86464,4.86464,496,5,501,496,501,0,0,0,496,0,0,5,1,6.21158,6.21158,4.86629,4.86629,594,8,602,594,602,0,0,0,594,0,0,8,1,6.83469,6.83469,4.86823,4.86823,774,11,785,774,785,0,0,0,774,0,0,11,1,7.66939,7.66939,4.8714,4.8714,864,15,879,864,879,0,0,0,864,0,0,15,1,8.69079,8.69079,4.87427,4.87427,1112,16,1128,1112,1128,0,0,0,1112,0,0,16,1,10.082,10.082,4.87843,4.87843,1209,24,1233,1209,1233,0,0,0,1209,0,0,24,1,11.7925,11.7925,4.88346,4.88346,1320,14,1334,1320,1334,0,0,0,1320,0,0,14,1,13.9798,13.9798,4.88915,4.88915,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6486,16.6486,4.8949,4.8949,1613,26,1639,1613,1639,0,0,0,1613,0,0,26,1,19.8548,19.8548,4.90152,4.90152,1658,32,1690,1658,1690,0,0,0,1658,0,0,32,1,23.9068,23.9068,4.90881,4.90881,1846,30,1876,1846,1876,0,0,0,1846,0,0,30,1,28.7944,28.7944,4.91674,4.91674,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9948,34.9948,4.92472,4.92472,2113,35,2148,2113,2148,0,0,0,2113,0,0,35,1,42.6413,42.6413,4.93446,4.93446,2291,41,2332,2291,2332,0,0,0,2291,0,0,41,1,51.9515,51.9515,4.94373,4.94373,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.956,62.956,4.95396,4.95396,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.5173,77.5173,4.96389,4.96389,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2706,94.2706,4.97634,4.97634
+2.29167,55,3300,63,2,65,63,65,0,0,0,63,0,0,2,1,5.35457,5.35457,4.72058,4.72058,203,5,208,203,208,0,0,0,203,0,0,5,1,5.48166,5.48166,4.72042,4.72042,330,5,335,330,335,0,0,0,330,0,0,5,1,5.76181,5.76181,4.72152,4.72152,496,5,501,496,501,0,0,0,496,0,0,5,1,6.2178,6.2178,4.72312,4.72312,593,9,602,593,602,0,0,0,593,0,0,9,1,6.84117,6.84117,4.725,4.725,774,11,785,774,785,0,0,0,774,0,0,11,1,7.67627,7.67627,4.72808,4.72808,864,15,879,864,879,0,0,0,864,0,0,15,1,8.69843,8.69843,4.73086,4.73086,1112,16,1128,1112,1128,0,0,0,1112,0,0,16,1,10.0905,10.0905,4.7349,4.7349,1209,24,1233,1209,1233,0,0,0,1209,0,0,24,1,11.802,11.802,4.73978,4.73978,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,13.9904,13.9904,4.74531,4.74531,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.66,16.66,4.75088,4.75088,1611,28,1639,1611,1639,0,0,0,1611,0,0,28,1,19.8671,19.8671,4.7573,4.7573,1658,32,1690,1658,1690,0,0,0,1658,0,0,32,1,23.9199,23.9199,4.76438,4.76438,1845,31,1876,1845,1876,0,0,0,1845,0,0,31,1,28.8084,28.8084,4.77207,4.77207,2008,32,2040,2008,2040,0,0,0,2008,0,0,32,1,35.0102,35.0102,4.77981,4.77981,2112,36,2148,2112,2148,0,0,0,2112,0,0,36,1,42.6578,42.6578,4.78927,4.78927,2290,42,2332,2290,2332,0,0,0,2290,0,0,42,1,51.9685,51.9685,4.79825,4.79825,2332,44,2376,2332,2376,0,0,0,2332,0,0,44,1,62.9744,62.9744,4.80819,4.80819,2559,55,2614,2559,2614,0,0,0,2559,0,0,55,1,77.5335,77.5335,4.81782,4.81782,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2821,94.2821,4.8299,4.8299
+2.33333,56,3360,63,2,65,63,65,0,0,0,63,0,0,2,1,5.36326,5.36326,4.58174,4.58174,203,5,208,203,208,0,0,0,203,0,0,5,1,5.49064,5.49064,4.58157,4.58157,330,5,335,330,335,0,0,0,330,0,0,5,1,5.77114,5.77114,4.58264,4.58264,496,5,501,496,501,0,0,0,496,0,0,5,1,6.22767,6.22767,4.5842,4.5842,592,10,602,592,602,0,0,0,592,0,0,10,1,6.85216,6.85216,4.58603,4.58603,772,13,785,772,785,0,0,0,772,0,0,13,1,7.68789,7.68789,4.58902,4.58902,863,16,879,863,879,0,0,0,863,0,0,16,1,8.71051,8.71051,4.59171,4.59171,1110,18,1128,1110,1128,0,0,0,1110,0,0,18,1,10.103,10.103,4.59564,4.59564,1207,26,1233,1207,1233,0,0,0,1207,0,0,26,1,11.8141,11.8141,4.60037,4.60037,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,14.0021,14.0021,4.60573,4.60573,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6721,16.6721,4.61113,4.61113,1611,28,1639,1611,1639,0,0,0,1611,0,0,28,1,19.8802,19.8802,4.61736,4.61736,1656,34,1690,1656,1690,0,0,0,1656,0,0,34,1,23.9339,23.9339,4.62422,4.62422,1843,33,1876,1843,1876,0,0,0,1843,0,0,33,1,28.825,28.825,4.63169,4.63169,2007,33,2040,2007,2040,0,0,0,2007,0,0,33,1,35.0276,35.0276,4.63919,4.63919,2111,37,2148,2111,2148,0,0,0,2111,0,0,37,1,42.6746,42.6746,4.64837,4.64837,2288,44,2332,2288,2332,0,0,0,2288,0,0,44,1,51.9835,51.9835,4.65709,4.65709,2331,45,2376,2331,2376,0,0,0,2331,0,0,45,1,62.9884,62.9884,4.66672,4.66672,2557,57,2614,2557,2614,0,0,0,2557,0,0,57,1,77.5454,77.5454,4.67606,4.67606,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2926,94.2926,4.68779,4.68779
+2.375,57,3420,63,2,65,63,65,0,0,0,63,0,0,2,1,5.37113,5.37113,4.44703,4.44703,203,5,208,203,208,0,0,0,203,0,0,5,1,5.49815,5.49815,4.44685,4.44685,330,5,335,330,335,0,0,0,330,0,0,5,1,5.77926,5.77926,4.44789,4.44789,496,5,501,496,501,0,0,0,496,0,0,5,1,6.2366,6.2366,4.44941,4.44941,591,11,602,591,602,0,0,0,591,0,0,11,1,6.86151,6.86151,4.45117,4.45117,772,13,785,772,785,0,0,0,772,0,0,13,1,7.69808,7.69808,4.45408,4.45408,862,17,879,862,879,0,0,0,862,0,0,17,1,8.72135,8.72135,4.45669,4.45669,1109,19,1128,1109,1128,0,0,0,1109,0,0,19,1,10.1151,10.1151,4.46051,4.46051,1204,29,1233,1204,1233,0,0,0,1204,0,0,29,1,11.8278,11.8278,4.46509,4.46509,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,14.017,14.017,4.47029,4.47029,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6887,16.6887,4.47552,4.47552,1610,29,1639,1610,1639,0,0,0,1610,0,0,29,1,19.8989,19.8989,4.48156,4.48156,1655,35,1690,1655,1690,0,0,0,1655,0,0,35,1,23.9553,23.9553,4.48822,4.48822,1843,33,1876,1843,1876,0,0,0,1843,0,0,33,1,28.8487,28.8487,4.49547,4.49547,2006,34,2040,2006,2040,0,0,0,2006,0,0,34,1,35.0541,35.0541,4.50274,4.50274,2109,39,2148,2109,2148,0,0,0,2109,0,0,39,1,42.7049,42.7049,4.51166,4.51166,2284,48,2332,2284,2332,0,0,0,2284,0,0,48,1,52.015,52.015,4.52011,4.52011,2329,47,2376,2329,2376,0,0,0,2329,0,0,47,1,63.0187,63.0187,4.52946,4.52946,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.5727,77.5727,4.53851,4.53851,2628,43,2671,2628,2671,0,0,0,2628,0,0,43,1,94.3137,94.3137,4.5499,4.5499
+2.41667,58,3480,63,2,65,63,65,0,0,0,63,0,0,2,1,5.38819,5.38819,4.31638,4.31638,202,6,208,202,208,0,0,0,202,0,0,6,1,5.51486,5.51486,4.31618,4.31618,329,6,335,329,335,0,0,0,329,0,0,6,1,5.79583,5.79583,4.31718,4.31718,495,6,501,495,501,0,0,0,495,0,0,6,1,6.25292,6.25292,4.31865,4.31865,590,12,602,590,602,0,0,0,590,0,0,12,1,6.87792,6.87792,4.32035,4.32035,771,14,785,771,785,0,0,0,771,0,0,14,1,7.71441,7.71441,4.32317,4.32317,862,17,879,862,879,0,0,0,862,0,0,17,1,8.73802,8.73802,4.32568,4.32568,1107,21,1128,1107,1128,0,0,0,1107,0,0,21,1,10.1335,10.1335,4.3294,4.3294,1203,30,1233,1203,1233,0,0,0,1203,0,0,30,1,11.8468,11.8468,4.33384,4.33384,1318,16,1334,1318,1334,0,0,0,1318,0,0,16,1,14.0372,14.0372,4.33889,4.33889,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.7094,16.7094,4.34396,4.34396,1609,30,1639,1609,1639,0,0,0,1609,0,0,30,1,19.9217,19.9217,4.34981,4.34981,1652,38,1690,1652,1690,0,0,0,1652,0,0,38,1,23.9811,23.9811,4.35628,4.35628,1838,38,1876,1838,1876,0,0,0,1838,0,0,38,1,28.8772,28.8772,4.36331,4.36331,2004,36,2040,2004,2040,0,0,0,2004,0,0,36,1,35.08,35.08,4.37035,4.37035,2106,42,2148,2106,2148,0,0,0,2106,0,0,42,1,42.7299,42.7299,4.37901,4.37901,2282,50,2332,2282,2332,0,0,0,2282,0,0,50,1,52.0373,52.0373,4.3872,4.3872,2327,49,2376,2327,2376,0,0,0,2327,0,0,49,1,63.0407,63.0407,4.39626,4.39626,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.5903,77.5903,4.40504,4.40504,2627,44,2671,2627,2671,0,0,0,2627,0,0,44,1,94.3274,94.3274,4.41609,4.41609
+2.45833,59,3540,63,2,65,63,65,0,0,0,63,0,0,2,1,5.40149,5.40149,4.18961,4.18961,201,7,208,201,208,0,0,0,201,0,0,7,1,5.52855,5.52855,4.1894,4.1894,329,6,335,329,335,0,0,0,329,0,0,6,1,5.81006,5.81006,4.19038,4.19038,494,7,501,494,501,0,0,0,494,0,0,7,1,6.26758,6.26758,4.19179,4.19179,589,13,602,589,602,0,0,0,589,0,0,13,1,6.89281,6.89281,4.19343,4.19343,771,14,785,771,785,0,0,0,771,0,0,14,1,7.73026,7.73026,4.19617,4.19617,862,17,879,862,879,0,0,0,862,0,0,17,1,8.75574,8.75574,4.1986,4.1986,1105,23,1128,1105,1128,0,0,0,1105,0,0,23,1,10.1536,10.1536,4.20222,4.20222,1202,31,1233,1202,1233,0,0,0,1202,0,0,31,1,11.8687,11.8687,4.20652,4.20652,1313,21,1334,1313,1334,0,0,0,1313,0,0,21,1,14.061,14.061,4.21141,4.21141,1523,21,1544,1523,1544,0,0,0,1523,0,0,21,1,16.7352,16.7352,4.21632,4.21632,1608,31,1639,1608,1639,0,0,0,1608,0,0,31,1,19.9466,19.9466,4.22199,4.22199,1652,38,1690,1652,1690,0,0,0,1652,0,0,38,1,24.0075,24.0075,4.22826,4.22826,1835,41,1876,1835,1876,0,0,0,1835,0,0,41,1,28.9041,28.9041,4.23509,4.23509,2003,37,2040,2003,2040,0,0,0,2003,0,0,37,1,35.1067,35.1067,4.2419,4.2419,2104,44,2148,2104,2148,0,0,0,2104,0,0,44,1,42.7578,42.7578,4.2503,4.2503,2278,54,2332,2278,2332,0,0,0,2278,0,0,54,1,52.0654,52.0654,4.25824,4.25824,2326,50,2376,2326,2376,0,0,0,2326,0,0,50,1,63.0646,63.0646,4.26702,4.26702,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.61,77.61,4.27553,4.27553,2625,46,2671,2625,2671,0,0,0,2625,0,0,46,1,94.3446,94.3446,4.28625,4.28625
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diff --git a/draft/execution_seed_9/final_data.csv b/draft/execution_seed_9/final_data.csv
new file mode 100644
index 0000000..68c1cbe
--- /dev/null
+++ b/draft/execution_seed_9/final_data.csv
@@ -0,0 +1,74 @@
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diff --git a/draft/experimentation.py b/draft/experimentation.py
index 8635ee9..68eda30 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -41,42 +41,63 @@
 def run_ABM(seed):
 
     config={
-    "seed": seed,
-    "output_performance_statistics": False,
-    "total_minutes_to_simulate": 4320,
-    "output_csv_interval": 600,
-    "bounded_space_length": 6500.0,
-    "tumor_shape": "cylinder",
-    "output_information_dependent_on_radius": True,
-    "cylindrical_tumor_radius": 3000.0,
-    "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-    "num_radius_intervals": 20,
-    "cylindrical_tumor_height": 100.0,
-    "initial_number_of_cylindrical_tumor_cells": 28000,
-    "oncoprotein_mean": 1.0,
-    "oncoprotein_standard_deviation": 0.0,
-    "lateral_oxygen_production_min_z": -300.0,
-    "lateral_oxygen_production_max_z": 300.0,
-    "diffuse_on_z_axis": False,
-    "initial_oxygen_level": 0.0,
-    "oxygen_reference_level": 165.0,
-    "default_oxygen_consumption_tumor_cell": 45.6,
-    "diffusion_coefficient_oxygen": 180000.0,
-    "decay_constant_oxygen": 0.01,
-    "time_apoptosis": 6000.0,
-    "treatment": {
-        "0": 0
-    },
-    "average_time_transformation_random_rate": 72.0,
-    "standard_deviation_transformation_random_rate": 15.0,
-    "oxygen_saturation_for_proliferation": 13.74,
-    "oxygen_limit_for_proliferation": 5.9,
-    "oxygen_limit_for_necrosis_maximum": 0.0,
-    "oxygen_limit_for_necrosis": 45.0,
-    "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
-    "reduction_consumption_dead_cells": 0.0,
-    "basal_necrosis_probability_cancer_cells": 0.0000166,
-    }
+  "seed": seed,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_on_z_axis": False,
+  "output_performance_statistics": False,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": True,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "default_volume_new_cart_cell": 269.0,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 49,
+  "standard_deviation_transformation_random_rate": 4.0,
+  "glucose_saturation_for_proliferation": 25,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_necrosis_probability_cancer_cells": 0.0000047,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "add_immunostimulatory_factor": False,
+  "add_glucose": True,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,
+  "default_glucose_consumption_cart": 0.145,
+  "glucose_limit_for_proliferation": 0,
+  "glucose_limit_for_necrosis": 5,
+  "glucose_limit_for_necrosis_maximum": 0,
+  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+}
 
     # Save the config parameters for this run to the params.json file
     with open(PARAMS_PATH, "w") as f:
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 1096e96..fea3547 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 31
+EXPERIMENT_ID = 50
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/num_alive_cells_radius_vs_radius.png b/draft/num_alive_cells_radius_vs_radius.png
new file mode 100644
index 0000000000000000000000000000000000000000..9c34c78cfb05ca784d2659bcd05dfbbbca42ae33
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index 65e6ced..9107add 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 42,
+  "seed": 37,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -30,27 +30,29 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 72.0,
+  "average_time_transformation_random_rate": 49,
   "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
+  "glucose_saturation_for_proliferation": 25,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
+  "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000049,
+  "basal_necrosis_probability_cancer_cells": 0.0000047,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
   "add_immunostimulatory_factor": false,
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
-  "decay_constant_glucose": 0.000001,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_tumor_cell": 0.145,
   "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_necrosis": 0,
+  "glucose_limit_for_proliferation": 0,
+  "glucose_limit_for_necrosis": 5,
   "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0
+  "maximum_necrosis_lack_of_glucose_rate": 0.0001
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 252a061..78ee3ba 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -481,7 +481,7 @@ void StateControlGrowProliferate::Run(Agent* agent) {
           // Exit the function to prevent further processing
           return;
         }
-        ManageLivingCell(cell, oxygen_level);
+        ManageLivingCell(cell, oxygen_level, glucose_level);
         break;
       }
       case TumorCellState::kNecroticSwelling: {
@@ -573,9 +573,8 @@ void StateControlGrowProliferate::Run(Agent* agent) {
 
 // ManageLivingCell function to handle living cell behavior
 void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
-                                                   real_t oxygen_level) {
-  // Initialize multiplier
-  real_t multiplier = 1.0;
+                                                   real_t oxygen_level, real_t glucose_level) {
+
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volume change
   cell->ChangeVolumeExponentialRelaxationEquation(
@@ -583,20 +582,39 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
       sparams->volume_relaxation_rate_alive_tumor_cell_nucleus,
       sparams->volume_relaxation_rate_alive_tumor_cell_fluid);
   // cell state control
+  // The division rate depends on the available resources
+  // Oxygen
+  // Initialize multiplier
+  real_t multiplier_oxygen = 1.0;
   // oxygen threshold for considering an effect on the proliferation cycle
   if (oxygen_level < sparams->oxygen_saturation_for_proliferation) {
-    multiplier = (oxygen_level - sparams->oxygen_limit_for_proliferation) /
+    multiplier_oxygen = (oxygen_level - sparams->oxygen_limit_for_proliferation) /
                  (sparams->oxygen_saturation_for_proliferation -
                   sparams->oxygen_limit_for_proliferation);
   }
   // If oxygen is below the limit, set multiplier to 0
   if (oxygen_level < sparams->oxygen_limit_for_proliferation) {
-    multiplier = 0.0;
+    multiplier_oxygen = 0.0;
+  }
+  // Glucose, only if a glucose gradient is defined in the simulation
+  // Initialize multiplier
+  real_t multiplier_glucose = 1.0;
+  if(cell->IsGlucoseDefined()) {
+    // glucose threshold for considering an effect on the proliferation cycle
+    if (glucose_level < sparams->glucose_saturation_for_proliferation) {
+      multiplier_glucose = (glucose_level - sparams->glucose_limit_for_proliferation) /
+                  (sparams->glucose_saturation_for_proliferation -
+                    sparams->glucose_limit_for_proliferation);
+    }
+    // If glucose is below the limit, set multiplier to 0
+    if (glucose_level < sparams->glucose_limit_for_proliferation) {
+      multiplier_glucose = 0.0;
+    }
   }
-  // Calculate the rate of state change based on oxygen level and oncoprotein
+  // Calculate the rate of state change based on oxygen level, glucose level and oncoprotein
   // (min^-1)
   const real_t final_rate_transition = cell->GetTransformationRandomRate() *
-                                       multiplier * cell->GetOncoproteinLevel();
+                                       multiplier_oxygen * multiplier_glucose * cell->GetOncoproteinLevel();
 
   // Calculate the time to wait (in minutes)
   real_t time_to_wait = kTimeTooLarge;
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 3e8af26..7cd30c5 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -390,7 +390,8 @@ struct StateControlGrowProliferate : public Behavior {
   ///
   /// @param cell Pointer to the tumor cell being managed
   /// @param oxygen_level Current oxygen concentration at the cell's location
-  static void ManageLivingCell(TumorCell* cell, real_t oxygen_level);
+  /// @param glucose_level Current glucose concentration at the cell's location
+  static void ManageLivingCell(TumorCell* cell, real_t oxygen_level, real_t glucose_level);
 };
 
 }  // namespace bdm
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 55a47c3..fbbf062 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -249,13 +249,22 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("oxygen_saturation_for_proliferation",
               oxygen_saturation_for_proliferation);
   load_double("oxygen_limit_for_proliferation", oxygen_limit_for_proliferation);
+  load_double("glucose_saturation_for_proliferation",
+              glucose_saturation_for_proliferation);
+  load_double("glucose_limit_for_proliferation", glucose_limit_for_proliferation);
   load_double("oxygen_limit_for_necrosis", oxygen_limit_for_necrosis);
   load_double("oxygen_limit_for_necrosis_maximum",
               oxygen_limit_for_necrosis_maximum);
+  load_double("maximum_necrosis_lack_of_oxygen_rate", maximum_necrosis_lack_of_oxygen_rate);
+  load_double("glucose_limit_for_necrosis", glucose_limit_for_necrosis);
+  load_double("glucose_limit_for_necrosis_maximum",
+              glucose_limit_for_necrosis_maximum);
+  load_double("maximum_necrosis_lack_of_glucose_rate",
+              maximum_necrosis_lack_of_glucose_rate);
   load_double("basal_necrosis_probability_cancer_cells",
               basal_necrosis_probability_cancer_cells);
   load_double("time_lysis", time_lysis);
-  load_double("maximum_necrosis_lack_of_oxygen_rate", maximum_necrosis_lack_of_oxygen_rate);
+  
 
   load_double("default_oxygen_consumption_tumor_cell",
               default_oxygen_consumption_tumor_cell);
@@ -563,6 +572,10 @@ void SimParam::PrintParams() const {
             << oxygen_saturation_for_proliferation << "\n";
   std::cout << "Limit of oxygen level for tumor cell proliferation: "
             << oxygen_limit_for_proliferation << "\n";
+  std::cout << "Glucose saturation level in tumor cells for proliferation: "  
+            << glucose_saturation_for_proliferation << "\n";
+  std::cout << "Limit of glucose level for tumor cell proliferation: "
+            << glucose_limit_for_proliferation << "\n";
   std::cout << "Limit of oxygen to start causing necrosis: "
             << oxygen_limit_for_necrosis << "\n";
   std::cout << "Limit of oxygen to maximum necrosis probability: "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index d474cc8..b8a7a54 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -296,6 +296,12 @@ struct SimParam : public ParamGroup {
   /// Oxygen saturation level in tumor cells for proliferation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_saturation_for_proliferation = 38;
+  /// Glucose saturation level in tumor cells for proliferation
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t glucose_saturation_for_proliferation = 0;
+  /// Limit of glucose level for tumor cell proliferation
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t glucose_limit_for_proliferation = 0;
   /// Limit of oxygen level for tumor cell proliferation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_limit_for_proliferation = 10;

From 9599467e28a8d676593d07e0d8011327b49affde Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 8 Aug 2026 17:02:35 +0200
Subject: [PATCH 29/54] new basal_necrosis_probability_cancer_cells

---
 .../experiment_16/optuna_results.csv          |  17 ---
 .../experiment_17/optuna_results.csv          |  11 --
 .../experiment_20/optuna_results.csv          |  14 ---
 .../experiment_21/optuna_results.csv          |  12 ---
 .../experiment_25/optuna_results.csv          |  11 --
 .../experiment_30/optuna_results.csv          |   3 -
 .../experiment_31/optuna_results.csv          |  98 ------------------
 .../experiment_33/optuna_results.csv          |  12 ---
 .../experiment_45/optuna_results.csv          |  12 ---
 .../experiment_50/optuna_results.csv          |   7 --
 draft/analysis_radius_atribute.py             |   8 +-
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 0 -> 58552 bytes
 .../data_dependent_on_radius_tumor.csv        |  74 -------------
 draft/execution_seed_9/final_data.csv         |  74 -------------
 params.json                                   |  22 ++--
 src/agents/cart_cell.cc                       |   2 +-
 src/agents/tumor_cell.cc                      |  57 ++++++----
 src/params/hyperparams.cc                     |  25 +++--
 src/params/hyperparams.h                      |  18 +++-
 19 files changed, 83 insertions(+), 394 deletions(-)
 delete mode 100644 abm_calibration/experiment_16/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_17/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_20/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_21/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_25/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_30/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_31/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_33/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_45/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_50/optuna_results.csv
 create mode 100644 draft/average_oxygen_cancer_cells_radius_vs_radius.png
 delete mode 100644 draft/execution_seed_9/data_dependent_on_radius_tumor.csv
 delete mode 100644 draft/execution_seed_9/final_data.csv

diff --git a/abm_calibration/experiment_16/optuna_results.csv b/abm_calibration/experiment_16/optuna_results.csv
deleted file mode 100644
index c838601..0000000
--- a/abm_calibration/experiment_16/optuna_results.csv
+++ /dev/null
@@ -1,17 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_oxygen_saturation_for_proliferation,state
-0,1495.0,2026-07-26 18:37:04.121918,2026-07-26 19:40:28.029122,0 days 01:03:23.907204,20.5,COMPLETE
-1,4542.0,2026-07-26 19:40:28.056530,2026-07-26 20:43:23.528168,0 days 01:02:55.471638,42.2,COMPLETE
-2,3553.0,2026-07-26 20:43:23.552241,2026-07-26 21:46:36.743744,0 days 01:03:13.191503,34.0,COMPLETE
-3,2824.0,2026-07-26 21:46:36.768563,2026-07-26 22:50:17.554188,0 days 01:03:40.785625,29.0,COMPLETE
-4,447.0,2026-07-26 22:50:17.583902,2026-07-26 23:54:56.365641,0 days 01:04:38.781739,12.3,COMPLETE
-5,518.0,2026-07-26 23:54:56.396349,2026-07-27 01:00:16.011635,0 days 01:05:19.615286,12.3,COMPLETE
-6,1625.0,2026-07-27 01:00:16.035878,2026-07-27 02:05:33.139239,0 days 01:05:17.103361,8.6,COMPLETE
-7,4087.0,2026-07-27 02:05:33.162908,2026-07-27 03:08:15.033130,0 days 01:02:41.870222,39.0,COMPLETE
-8,2851.0,2026-07-27 03:08:15.057041,2026-07-27 04:12:20.596805,0 days 01:04:05.539764,29.1,COMPLETE
-9,3525.0,2026-07-27 04:12:20.621757,2026-07-27 05:15:49.849907,0 days 01:03:29.228150,33.1,COMPLETE
-10,1118.0,2026-07-27 05:15:49.873505,2026-07-27 06:19:55.920095,0 days 01:04:06.046590,18.200000000000003,COMPLETE
-11,2293.0,2026-07-27 06:19:55.945436,2026-07-27 07:25:59.173345,0 days 01:06:03.227909,6.6,COMPLETE
-12,28.0,2026-07-27 07:25:59.198817,2026-07-27 08:30:24.331169,0 days 01:04:25.132352,14.2,COMPLETE
-13,709.0,2026-07-27 08:30:24.355557,2026-07-27 09:34:49.026547,0 days 01:04:24.670990,17.200000000000003,COMPLETE
-14,240.0,2026-07-27 09:34:49.049783,2026-07-27 10:39:22.462949,0 days 01:04:33.413166,12.5,COMPLETE
-15,,2026-07-27 10:39:22.487273,,,22.6,RUNNING
diff --git a/abm_calibration/experiment_17/optuna_results.csv b/abm_calibration/experiment_17/optuna_results.csv
deleted file mode 100644
index 362dc52..0000000
--- a/abm_calibration/experiment_17/optuna_results.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_oxygen_saturation_for_proliferation,state
-0,1494.0,2026-07-28 01:53:27.394257,2026-07-28 02:56:34.557503,0 days 01:03:07.163246,20.5,COMPLETE
-1,2961.0,2026-07-28 02:56:34.590680,2026-07-28 04:02:04.873040,0 days 01:05:30.282360,29.3,COMPLETE
-2,2451.0,2026-07-28 04:02:04.897351,2026-07-28 05:07:17.706270,0 days 01:05:12.808919,25.900000000000002,COMPLETE
-3,2083.0,2026-07-28 05:07:17.737656,2026-07-28 06:11:54.920475,0 days 01:04:37.182819,23.9,COMPLETE
-4,790.0,2026-07-28 06:11:54.944145,2026-07-28 07:19:02.984453,0 days 01:07:08.040308,17.1,COMPLETE
-5,748.0,2026-07-28 07:19:03.087925,2026-07-28 08:23:41.672027,0 days 01:04:38.584102,17.1,COMPLETE
-6,458.0,2026-07-28 08:23:41.696289,2026-07-28 09:27:43.025268,0 days 01:04:01.328979,15.600000000000001,COMPLETE
-7,2668.0,2026-07-28 09:27:43.050614,2026-07-28 10:31:03.147312,0 days 01:03:20.096698,28.0,COMPLETE
-8,2038.0,2026-07-28 10:31:03.171425,2026-07-28 11:34:32.388777,0 days 01:03:29.217352,23.9,COMPLETE
-9,,2026-07-28 11:34:32.452591,,,25.6,RUNNING
diff --git a/abm_calibration/experiment_20/optuna_results.csv b/abm_calibration/experiment_20/optuna_results.csv
deleted file mode 100644
index 054bf5d..0000000
--- a/abm_calibration/experiment_20/optuna_results.csv
+++ /dev/null
@@ -1,14 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,state
-0,25130.0,2026-07-29 02:28:14.657903,2026-07-29 03:36:43.996812,0 days 01:08:29.338909,0.3746,COMPLETE
-1,25130.0,2026-07-29 03:36:44.023666,2026-07-29 04:37:24.370047,0 days 01:00:40.346381,0.9508000000000001,COMPLETE
-2,25130.0,2026-07-29 04:37:24.394168,2026-07-29 05:38:21.150072,0 days 01:00:56.755904,0.732,COMPLETE
-3,25130.0,2026-07-29 05:38:21.174305,2026-07-29 06:39:29.052295,0 days 01:01:07.877990,0.5987,COMPLETE
-4,23621.0,2026-07-29 06:39:29.075839,2026-07-29 07:42:11.057654,0 days 01:02:41.981815,0.1561,COMPLETE
-5,23579.0,2026-07-29 07:42:11.082628,2026-07-29 08:43:21.546551,0 days 01:01:10.463923,0.156,COMPLETE
-6,14600.0,2026-07-29 08:43:21.571928,2026-07-29 09:46:10.729746,0 days 01:02:49.157818,0.058100000000000006,COMPLETE
-7,25130.0,2026-07-29 09:46:10.760750,2026-07-29 10:46:47.836250,0 days 01:00:37.075500,0.8662000000000001,COMPLETE
-8,25130.0,2026-07-29 10:46:47.859339,2026-07-29 11:47:59.338586,0 days 01:01:11.479247,0.6012000000000001,COMPLETE
-9,25130.0,2026-07-29 11:47:59.369973,2026-07-29 12:50:18.034200,0 days 01:02:18.664227,0.7081000000000001,COMPLETE
-10,13317.0,2026-07-29 12:50:18.058032,2026-07-29 13:53:32.858946,0 days 01:03:14.800914,0.0298,COMPLETE
-11,11223.0,2026-07-29 13:53:32.883849,2026-07-29 14:57:47.479220,0 days 01:04:14.595371,0.002,COMPLETE
-12,,2026-07-29 14:57:47.504946,,,0.007600000000000001,RUNNING
diff --git a/abm_calibration/experiment_21/optuna_results.csv b/abm_calibration/experiment_21/optuna_results.csv
deleted file mode 100644
index 7075931..0000000
--- a/abm_calibration/experiment_21/optuna_results.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,state
-0,25.0,2026-07-29 23:47:05.872707,2026-07-30 00:51:51.035547,0 days 01:04:45.162840,2.1799999999999998e-05,COMPLETE
-1,952.0,2026-07-30 00:51:51.062068,2026-07-30 01:57:37.041491,0 days 01:05:45.979423,4.7799999999999996e-05,COMPLETE
-2,630.0,2026-07-30 01:57:37.065628,2026-07-30 03:03:43.257575,0 days 01:06:06.191947,3.7999999999999995e-05,COMPLETE
-3,282.0,2026-07-30 03:03:43.280884,2026-07-30 04:09:33.352886,0 days 01:05:50.072002,3.19e-05,COMPLETE
-4,402.0,2026-07-30 04:09:33.376630,2026-07-30 05:14:58.896607,0 days 01:05:25.519977,1.2e-05,COMPLETE
-5,470.0,2026-07-30 05:14:58.920315,2026-07-30 06:20:49.166033,0 days 01:05:50.245718,1.2e-05,COMPLETE
-6,486.0,2026-07-30 06:20:49.189613,2026-07-30 07:27:16.037079,0 days 01:06:26.847466,7.6e-06,COMPLETE
-7,856.0,2026-07-30 07:27:16.060272,2026-07-30 08:33:19.225388,0 days 01:06:03.165116,4.4e-05,COMPLETE
-8,377.0,2026-07-30 08:33:19.248573,2026-07-30 09:39:27.533538,0 days 01:06:08.284965,3.21e-05,COMPLETE
-9,402.0,2026-07-30 09:39:27.562680,2026-07-30 10:45:33.445096,0 days 01:06:05.882416,3.6899999999999996e-05,COMPLETE
-10,,2026-07-30 10:45:33.468540,2026-07-30 10:48:11.865198,0 days 00:02:38.396658,2.35e-05,FAIL
diff --git a/abm_calibration/experiment_25/optuna_results.csv b/abm_calibration/experiment_25/optuna_results.csv
deleted file mode 100644
index 04e200d..0000000
--- a/abm_calibration/experiment_25/optuna_results.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_rate,params_oxygen_saturation_for_proliferation,state
-0,115.0,2026-07-30 22:28:07.359596,2026-07-31 00:36:38.807418,0 days 02:08:31.447822,2.06e-05,13.799999999999999,COMPLETE
-1,173.0,2026-07-31 00:36:38.834987,2026-07-31 02:46:00.741306,0 days 02:09:21.906319,2.22e-05,13.719999999999999,COMPLETE
-2,104.5,2026-07-31 02:46:00.765186,2026-07-31 04:54:54.575542,0 days 02:08:53.810356,1.9600000000000002e-05,13.62,COMPLETE
-3,116.0,2026-07-31 04:54:54.600885,2026-07-31 07:04:10.501726,0 days 02:09:15.900841,1.9200000000000003e-05,13.78,COMPLETE
-4,75.0,2026-07-31 07:04:10.525508,2026-07-31 09:13:06.404275,0 days 02:08:55.878767,2.16e-05,13.74,COMPLETE
-5,182.0,2026-07-31 09:13:06.429778,2026-07-31 11:22:04.369873,0 days 02:08:57.940095,1.9e-05,13.799999999999999,COMPLETE
-6,,2026-07-31 11:22:04.393221,2026-07-31 12:18:48.572590,0 days 00:56:44.179369,2.2800000000000002e-05,13.639999999999999,FAIL
-7,94.5,2026-07-31 12:18:50.276375,2026-07-31 14:26:47.998566,0 days 02:07:57.722191,2.08e-05,13.76,COMPLETE
-8,155.5,2026-07-31 14:26:48.023735,2026-07-31 16:34:56.552134,0 days 02:08:08.528399,2.1600000000000003e-05,13.72,COMPLETE
-9,,2026-07-31 16:34:56.576747,,,2e-05,13.66,RUNNING
diff --git a/abm_calibration/experiment_30/optuna_results.csv b/abm_calibration/experiment_30/optuna_results.csv
deleted file mode 100644
index 235183f..0000000
--- a/abm_calibration/experiment_30/optuna_results.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_default_glucose_consumption_tumor_cell,state
-0,,2026-08-05 00:39:58.109630,2026-08-05 00:40:02.715461,0 days 00:00:04.605831,0.19,FAIL
-1,,2026-08-05 00:40:45.953539,2026-08-05 01:21:47.307931,0 days 00:41:01.354392,0.19,FAIL
diff --git a/abm_calibration/experiment_31/optuna_results.csv b/abm_calibration/experiment_31/optuna_results.csv
deleted file mode 100644
index 6bec259..0000000
--- a/abm_calibration/experiment_31/optuna_results.csv
+++ /dev/null
@@ -1,98 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_basal_necrosis_probability_cancer_cells,state
-0,20.0,2026-08-05 17:20:38.698930,2026-08-05 17:22:18.910257,0 days 00:01:40.211327,4.7e-06,COMPLETE
-1,29.666666666666668,2026-08-05 17:22:18.939365,2026-08-05 17:23:57.575722,0 days 00:01:38.636357,5.899999999999999e-06,COMPLETE
-2,27.0,2026-08-05 17:23:57.600820,2026-08-05 17:25:35.089137,0 days 00:01:37.488317,5.5e-06,COMPLETE
-3,17.0,2026-08-05 17:25:35.113987,2026-08-05 17:27:13.748540,0 days 00:01:38.634553,5.199999999999999e-06,COMPLETE
-4,27.333333333333332,2026-08-05 17:27:13.773868,2026-08-05 17:28:51.238018,0 days 00:01:37.464150,4.2999999999999995e-06,COMPLETE
-5,38.333333333333336,2026-08-05 17:28:51.266146,2026-08-05 17:30:34.819715,0 days 00:01:43.553569,4.2999999999999995e-06,COMPLETE
-6,28.666666666666668,2026-08-05 17:30:34.844376,2026-08-05 17:32:13.307650,0 days 00:01:38.463274,4.1e-06,COMPLETE
-7,34.0,2026-08-05 17:32:13.338163,2026-08-05 17:33:48.120415,0 days 00:01:34.782252,5.7999999999999995e-06,COMPLETE
-8,27.666666666666668,2026-08-05 17:33:48.144404,2026-08-05 17:35:21.560684,0 days 00:01:33.416280,5.199999999999999e-06,COMPLETE
-9,28.666666666666668,2026-08-05 17:35:21.585337,2026-08-05 17:36:54.389493,0 days 00:01:32.804156,5.4e-06,COMPLETE
-10,4.333333333333333,2026-08-05 17:36:54.415422,2026-08-05 17:38:28.793672,0 days 00:01:34.378250,4.9e-06,COMPLETE
-11,3.6666666666666665,2026-08-05 17:38:28.822492,2026-08-05 17:40:01.965196,0 days 00:01:33.142704,4.9e-06,COMPLETE
-12,9.333333333333334,2026-08-05 17:40:01.990619,2026-08-05 17:41:34.792095,0 days 00:01:32.801476,4.8e-06,COMPLETE
-13,13.333333333333334,2026-08-05 17:41:34.817016,2026-08-05 17:43:07.194628,0 days 00:01:32.377612,4.8e-06,COMPLETE
-14,17.333333333333332,2026-08-05 17:43:07.218256,2026-08-05 17:44:40.127832,0 days 00:01:32.909576,4.6e-06,COMPLETE
-15,17.666666666666668,2026-08-05 17:44:40.154527,2026-08-05 17:46:13.284361,0 days 00:01:33.129834,4.9999999999999996e-06,COMPLETE
-16,18.0,2026-08-05 17:46:13.313901,2026-08-05 17:47:46.258391,0 days 00:01:32.944490,4.5e-06,COMPLETE
-17,8.666666666666666,2026-08-05 17:47:46.282036,2026-08-05 17:49:19.241663,0 days 00:01:32.959627,4.9999999999999996e-06,COMPLETE
-18,16.666666666666668,2026-08-05 17:49:19.271178,2026-08-05 17:50:51.060292,0 days 00:01:31.789114,5.6e-06,COMPLETE
-19,9.333333333333334,2026-08-05 17:50:51.086571,2026-08-05 17:52:24.627132,0 days 00:01:33.540561,4.9999999999999996e-06,COMPLETE
-20,29.0,2026-08-05 17:52:24.651374,2026-08-05 17:53:57.503912,0 days 00:01:32.852538,5.199999999999999e-06,COMPLETE
-21,8.333333333333334,2026-08-05 17:53:57.527652,2026-08-05 17:55:36.364791,0 days 00:01:38.837139,4.9999999999999996e-06,COMPLETE
-22,5.333333333333333,2026-08-05 17:55:36.388523,2026-08-05 17:57:08.965121,0 days 00:01:32.576598,4.9e-06,COMPLETE
-23,25.333333333333332,2026-08-05 17:57:08.989229,2026-08-05 17:58:41.608620,0 days 00:01:32.619391,4.5e-06,COMPLETE
-24,5.666666666666667,2026-08-05 17:58:41.633068,2026-08-05 18:00:15.289303,0 days 00:01:33.656235,4.8e-06,COMPLETE
-25,30.666666666666668,2026-08-05 18:00:15.315282,2026-08-05 18:01:47.743344,0 days 00:01:32.428062,5.3e-06,COMPLETE
-26,4.666666666666667,2026-08-05 18:01:47.767858,2026-08-05 18:03:21.080276,0 days 00:01:33.312418,4.9e-06,COMPLETE
-27,21.666666666666668,2026-08-05 18:03:21.104900,2026-08-05 18:04:53.513519,0 days 00:01:32.408619,4.4e-06,COMPLETE
-28,33.333333333333336,2026-08-05 18:04:53.538401,2026-08-05 18:06:26.452395,0 days 00:01:32.913994,4.1e-06,COMPLETE
-29,5.333333333333333,2026-08-05 18:06:26.476683,2026-08-05 18:07:58.444355,0 days 00:01:31.967672,4.7e-06,COMPLETE
-30,23.333333333333332,2026-08-05 18:07:58.469439,2026-08-05 18:09:31.137565,0 days 00:01:32.668126,4.6e-06,COMPLETE
-31,19.333333333333332,2026-08-05 18:09:31.167883,2026-08-05 18:11:03.946173,0 days 00:01:32.778290,4.9e-06,COMPLETE
-32,9.666666666666666,2026-08-05 18:11:03.976711,2026-08-05 18:12:37.207257,0 days 00:01:33.230546,4.9e-06,COMPLETE
-33,17.0,2026-08-05 18:12:37.231304,2026-08-05 18:14:10.819318,0 days 00:01:33.588014,5.1e-06,COMPLETE
-34,7.666666666666667,2026-08-05 18:14:10.846147,2026-08-05 18:15:43.610004,0 days 00:01:32.763857,4.7e-06,COMPLETE
-35,16.333333333333332,2026-08-05 18:15:43.634321,2026-08-05 18:17:17.369050,0 days 00:01:33.734729,5.5e-06,COMPLETE
-36,15.0,2026-08-05 18:17:17.394135,2026-08-05 18:18:51.303505,0 days 00:01:33.909370,5.1e-06,COMPLETE
-37,12.666666666666666,2026-08-05 18:18:51.327966,2026-08-05 18:20:24.551757,0 days 00:01:33.223791,4.9e-06,COMPLETE
-38,9.333333333333334,2026-08-05 18:20:24.577991,2026-08-05 18:21:57.061006,0 days 00:01:32.483015,5.3e-06,COMPLETE
-39,13.666666666666666,2026-08-05 18:21:57.089809,2026-08-05 18:23:29.993097,0 days 00:01:32.903288,4.6e-06,COMPLETE
-40,56.0,2026-08-05 18:23:30.018384,2026-08-05 18:25:03.001466,0 days 00:01:32.983082,6e-06,COMPLETE
-41,15.333333333333334,2026-08-05 18:25:03.026593,2026-08-05 18:26:36.171249,0 days 00:01:33.144656,4.7e-06,COMPLETE
-42,14.0,2026-08-05 18:26:36.194890,2026-08-05 18:28:09.730763,0 days 00:01:33.535873,4.7e-06,COMPLETE
-43,14.333333333333334,2026-08-05 18:28:09.754698,2026-08-05 18:29:43.636124,0 days 00:01:33.881426,5.1e-06,COMPLETE
-44,4.0,2026-08-05 18:29:43.661413,2026-08-05 18:31:16.876510,0 days 00:01:33.215097,4.8e-06,COMPLETE
-45,8.333333333333334,2026-08-05 18:31:16.900583,2026-08-05 18:32:49.807258,0 days 00:01:32.906675,4.8e-06,COMPLETE
-46,8.0,2026-08-05 18:32:49.831696,2026-08-05 18:34:22.401932,0 days 00:01:32.570236,4.9e-06,COMPLETE
-47,23.666666666666668,2026-08-05 18:34:22.426083,2026-08-05 18:35:55.709183,0 days 00:01:33.283100,4.2999999999999995e-06,COMPLETE
-48,17.666666666666668,2026-08-05 18:35:55.732507,2026-08-05 18:37:28.689010,0 days 00:01:32.956503,5.199999999999999e-06,COMPLETE
-49,16.666666666666668,2026-08-05 18:37:28.712922,2026-08-05 18:39:01.228466,0 days 00:01:32.515544,4.8e-06,COMPLETE
-50,30.0,2026-08-05 18:39:01.254350,2026-08-05 18:40:35.910092,0 days 00:01:34.655742,4.5e-06,COMPLETE
-51,10.0,2026-08-05 18:40:35.935992,2026-08-05 18:42:09.223158,0 days 00:01:33.287166,4.7e-06,COMPLETE
-52,11.333333333333334,2026-08-05 18:42:09.246703,2026-08-05 18:43:42.939710,0 days 00:01:33.693007,4.9e-06,COMPLETE
-53,17.666666666666668,2026-08-05 18:43:42.963888,2026-08-05 18:45:20.778355,0 days 00:01:37.814467,4.9999999999999996e-06,COMPLETE
-54,14.0,2026-08-05 18:45:20.802715,2026-08-05 18:46:53.726219,0 days 00:01:32.923504,5.1e-06,COMPLETE
-55,19.333333333333332,2026-08-05 18:46:53.750604,2026-08-05 18:48:26.555638,0 days 00:01:32.805034,4.6e-06,COMPLETE
-56,9.333333333333334,2026-08-05 18:48:26.580099,2026-08-05 18:49:59.692055,0 days 00:01:33.111956,4.9999999999999996e-06,COMPLETE
-57,9.0,2026-08-05 18:49:59.725063,2026-08-05 18:51:32.582203,0 days 00:01:32.857140,4.8e-06,COMPLETE
-58,16.0,2026-08-05 18:51:32.606175,2026-08-05 18:53:05.569769,0 days 00:01:32.963594,4.8e-06,COMPLETE
-59,23.0,2026-08-05 18:53:05.594518,2026-08-05 18:54:37.363233,0 days 00:01:31.768715,4.4e-06,COMPLETE
-60,17.666666666666668,2026-08-05 18:54:37.388310,2026-08-05 18:56:09.905243,0 days 00:01:32.516933,5.3e-06,COMPLETE
-61,12.666666666666666,2026-08-05 18:56:09.929081,2026-08-05 18:57:42.878711,0 days 00:01:32.949630,4.7e-06,COMPLETE
-62,7.666666666666667,2026-08-05 18:57:42.903777,2026-08-05 18:59:16.099350,0 days 00:01:33.195573,4.9e-06,COMPLETE
-63,13.666666666666666,2026-08-05 18:59:16.123738,2026-08-05 19:00:47.738309,0 days 00:01:31.614571,4.8e-06,COMPLETE
-64,16.666666666666668,2026-08-05 19:00:47.766814,2026-08-05 19:02:23.620592,0 days 00:01:35.853778,4.9999999999999996e-06,COMPLETE
-65,29.333333333333332,2026-08-05 19:02:23.645076,2026-08-05 19:03:59.934159,0 days 00:01:36.289083,4.5e-06,COMPLETE
-66,19.666666666666668,2026-08-05 19:03:59.964620,2026-08-05 19:05:31.023431,0 days 00:01:31.058811,4.6e-06,COMPLETE
-67,18.666666666666668,2026-08-05 19:05:31.088251,2026-08-05 19:07:01.595320,0 days 00:01:30.507069,4.9e-06,COMPLETE
-68,13.666666666666666,2026-08-05 19:07:01.705112,2026-08-05 19:08:31.699931,0 days 00:01:29.994819,4.7e-06,COMPLETE
-69,8.666666666666666,2026-08-05 19:08:31.723856,2026-08-05 19:10:01.971319,0 days 00:01:30.247463,5.1e-06,COMPLETE
-70,12.333333333333334,2026-08-05 19:10:01.995164,2026-08-05 19:11:32.439351,0 days 00:01:30.444187,4.8e-06,COMPLETE
-71,11.666666666666666,2026-08-05 19:11:32.504688,2026-08-05 19:13:02.249461,0 days 00:01:29.744773,4.7e-06,COMPLETE
-72,9.333333333333334,2026-08-05 19:13:02.320723,2026-08-05 19:14:33.398557,0 days 00:01:31.077834,4.9e-06,COMPLETE
-73,31.0,2026-08-05 19:14:33.442622,2026-08-05 19:16:03.983981,0 days 00:01:30.541359,4.6e-06,COMPLETE
-74,16.333333333333332,2026-08-05 19:16:04.008216,2026-08-05 19:17:34.351959,0 days 00:01:30.343743,4.9999999999999996e-06,COMPLETE
-75,11.333333333333334,2026-08-05 19:17:34.376980,2026-08-05 19:19:04.749346,0 days 00:01:30.372366,4.8e-06,COMPLETE
-76,10.333333333333334,2026-08-05 19:19:04.776284,2026-08-05 19:20:35.029464,0 days 00:01:30.253180,4.7e-06,COMPLETE
-77,18.333333333333332,2026-08-05 19:20:35.059884,2026-08-05 19:22:05.994779,0 days 00:01:30.934895,4.9e-06,COMPLETE
-78,12.333333333333334,2026-08-05 19:22:06.019540,2026-08-05 19:23:36.788457,0 days 00:01:30.768917,4.6e-06,COMPLETE
-79,20.333333333333332,2026-08-05 19:23:36.811826,2026-08-05 19:25:05.825193,0 days 00:01:29.013367,5.7e-06,COMPLETE
-80,41.333333333333336,2026-08-05 19:25:05.848689,2026-08-05 19:26:36.076113,0 days 00:01:30.227424,4e-06,COMPLETE
-81,5.0,2026-08-05 19:26:36.099641,2026-08-05 19:28:05.594210,0 days 00:01:29.494569,4.9e-06,COMPLETE
-82,9.666666666666666,2026-08-05 19:28:05.619345,2026-08-05 19:29:36.140728,0 days 00:01:30.521383,4.9999999999999996e-06,COMPLETE
-83,20.0,2026-08-05 19:29:36.164259,2026-08-05 19:31:06.887312,0 days 00:01:30.723053,4.8e-06,COMPLETE
-84,9.666666666666666,2026-08-05 19:31:06.945834,2026-08-05 19:32:37.461370,0 days 00:01:30.515536,4.7e-06,COMPLETE
-85,22.333333333333332,2026-08-05 19:32:37.494764,2026-08-05 19:34:08.695954,0 days 00:01:31.201190,5.199999999999999e-06,COMPLETE
-86,32.666666666666664,2026-08-05 19:34:08.725658,2026-08-05 19:35:44.718414,0 days 00:01:35.992756,4.4e-06,COMPLETE
-87,13.0,2026-08-05 19:35:44.813008,2026-08-05 19:37:15.235435,0 days 00:01:30.422427,4.9e-06,COMPLETE
-88,11.666666666666666,2026-08-05 19:37:15.339105,2026-08-05 19:38:45.977834,0 days 00:01:30.638729,5.1e-06,COMPLETE
-89,7.333333333333333,2026-08-05 19:38:46.001938,2026-08-05 19:40:16.607164,0 days 00:01:30.605226,4.8e-06,COMPLETE
-90,9.666666666666666,2026-08-05 19:40:16.701643,2026-08-05 19:41:46.324308,0 days 00:01:29.622665,4.8e-06,COMPLETE
-91,5.666666666666667,2026-08-05 19:41:46.394034,2026-08-05 19:43:16.897123,0 days 00:01:30.503089,4.9e-06,COMPLETE
-92,8.0,2026-08-05 19:43:16.983928,2026-08-05 19:44:47.809106,0 days 00:01:30.825178,4.9999999999999996e-06,COMPLETE
-93,15.0,2026-08-05 19:44:47.873966,2026-08-05 19:46:18.931959,0 days 00:01:31.057993,4.9e-06,COMPLETE
-94,13.333333333333334,2026-08-05 19:46:19.058102,2026-08-05 19:47:48.868148,0 days 00:01:29.810046,4.9999999999999996e-06,COMPLETE
-95,16.333333333333332,2026-08-05 19:47:48.892833,2026-08-05 19:49:40.743266,0 days 00:01:51.850433,4.8e-06,COMPLETE
-96,,2026-08-05 19:49:40.772343,2026-08-05 19:50:07.061580,0 days 00:00:26.289237,4.9e-06,FAIL
diff --git a/abm_calibration/experiment_33/optuna_results.csv b/abm_calibration/experiment_33/optuna_results.csv
deleted file mode 100644
index a70859b..0000000
--- a/abm_calibration/experiment_33/optuna_results.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_glucose_rate,state
-0,156.0,2026-08-06 01:10:13.465272,2026-08-06 02:16:29.243884,0 days 01:06:15.778612,0.00012100000000000001,COMPLETE
-1,928.0,2026-08-06 02:16:29.271727,2026-08-06 03:24:33.835886,0 days 01:08:04.564159,0.000169,COMPLETE
-2,665.0,2026-08-06 03:24:33.859810,2026-08-06 04:34:24.668927,0 days 01:09:50.809117,0.000151,COMPLETE
-3,390.0,2026-08-06 04:34:24.696478,2026-08-06 05:43:00.165035,0 days 01:08:35.468557,0.00014,COMPLETE
-4,22.0,2026-08-06 05:43:00.189540,2026-08-06 06:52:30.246122,0 days 01:09:30.056582,0.00010300000000000001,COMPLETE
-5,130.0,2026-08-06 06:52:30.271078,2026-08-06 08:01:04.357732,0 days 01:08:34.086654,0.00010300000000000001,COMPLETE
-6,169.0,2026-08-06 08:01:04.381574,2026-08-06 09:09:44.767000,0 days 01:08:40.385426,9.400000000000001e-05,COMPLETE
-7,753.0,2026-08-06 09:09:44.790938,2026-08-06 10:18:08.464052,0 days 01:08:23.673114,0.000162,COMPLETE
-8,423.0,2026-08-06 10:18:08.488956,2026-08-06 11:25:51.958616,0 days 01:07:43.469660,0.00014,COMPLETE
-9,523.0,2026-08-06 11:25:51.982532,2026-08-06 12:36:04.718270,0 days 01:10:12.735738,0.000149,COMPLETE
-10,,2026-08-06 12:36:04.742446,,,0.000116,RUNNING
diff --git a/abm_calibration/experiment_45/optuna_results.csv b/abm_calibration/experiment_45/optuna_results.csv
deleted file mode 100644
index b730611..0000000
--- a/abm_calibration/experiment_45/optuna_results.csv
+++ /dev/null
@@ -1,12 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_average_time_transformation_random_rate,params_default_glucose_consumption_tumor_cell,params_maximum_necrosis_lack_of_glucose_rate,state
-0,14005.6027,2026-08-07 00:30:58.521908,2026-08-07 01:30:54.172923,0 days 00:59:55.651015,62.0,0.145,0.000101,COMPLETE
-1,14398.0878,2026-08-07 01:30:54.207381,2026-08-07 02:31:54.182012,0 days 01:00:59.974631,65.5,0.132,8.800000000000001e-05,COMPLETE
-2,11851.6241,2026-08-07 02:31:54.206296,2026-08-07 03:36:33.793909,0 days 01:04:39.587613,56.5,0.14300000000000002,9.800000000000001e-05,COMPLETE
-3,14444.4113,2026-08-07 03:36:33.819260,2026-08-07 04:37:37.648418,0 days 01:01:03.829158,67.5,0.13,0.000106,COMPLETE
-4,14387.4502,2026-08-07 04:37:37.672136,2026-08-07 05:38:41.409138,0 days 01:01:03.737002,69.5,0.133,8.900000000000001e-05,COMPLETE
-5,12696.5857,2026-08-07 05:38:41.434254,2026-08-07 06:43:17.856587,0 days 01:04:36.422333,59.0,0.134,9.6e-05,COMPLETE
-6,13568.3429,2026-08-07 06:43:17.880320,2026-08-07 07:46:34.117324,0 days 01:03:16.237004,63.0,0.134,9.800000000000001e-05,COMPLETE
-7,11907.26,2026-08-07 07:46:34.146246,2026-08-07 08:52:10.453167,0 days 01:05:36.306921,58.0,0.134,9.300000000000001e-05,COMPLETE
-8,14140.1395,2026-08-07 08:52:10.478447,2026-08-07 09:53:45.122044,0 days 01:01:34.643597,63.5,0.14200000000000002,8.900000000000001e-05,COMPLETE
-9,13545.2939,2026-08-07 09:53:45.146057,2026-08-07 10:56:28.710454,0 days 01:02:43.564397,64.0,0.139,8.6e-05,COMPLETE
-10,,2026-08-07 10:56:28.736030,,,71.5,0.138,0.000106,RUNNING
diff --git a/abm_calibration/experiment_50/optuna_results.csv b/abm_calibration/experiment_50/optuna_results.csv
deleted file mode 100644
index ab74105..0000000
--- a/abm_calibration/experiment_50/optuna_results.csv
+++ /dev/null
@@ -1,7 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_average_time_transformation_random_rate,params_default_glucose_consumption_tumor_cell,state
-0,2605.5303,2026-08-07 14:32:24.027882,2026-08-07 14:54:33.346627,0 days 00:22:09.318745,45.85,0.5,COMPLETE
-1,2449.8189,2026-08-07 14:54:33.379830,2026-08-07 15:16:53.281549,0 days 00:22:19.901719,46.45,0.42,COMPLETE
-2,1240.2763,2026-08-07 15:16:53.307642,2026-08-07 15:33:56.905040,0 days 00:17:03.597398,45.45,0.32,COMPLETE
-3,825.1152,2026-08-07 15:33:56.929612,2026-08-07 15:51:28.605811,0 days 00:17:31.676199,45.300000000000004,0.48,COMPLETE
-4,4153.8974,2026-08-07 15:51:28.631348,2026-08-07 16:16:08.930317,0 days 00:24:40.298969,46.25,0.44,COMPLETE
-5,,2026-08-07 16:16:08.954119,,,45.2,0.5,RUNNING
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 9deb9c9..4953c8e 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -30,13 +30,13 @@
 # MINUTE = 3240 # change this to the minute you want to plot
 MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-ATTRIBUTE = "num_dead_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
-# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+ATTRIBUTE = "average_oxygen_cancer_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
+DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 # APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
 
diff --git a/draft/average_oxygen_cancer_cells_radius_vs_radius.png b/draft/average_oxygen_cancer_cells_radius_vs_radius.png
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diff --git a/draft/execution_seed_9/data_dependent_on_radius_tumor.csv b/draft/execution_seed_9/data_dependent_on_radius_tumor.csv
deleted file mode 100644
index bc69d54..0000000
--- a/draft/execution_seed_9/data_dependent_on_radius_tumor.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_150,num_dead_cells_radius_0_to_150,total_num_cells_radius_0_to_150,num_alive_tumor_cells_radius_0_to_150,total_num_tumor_cells_radius_0_to_150,num_alive_cart_cells_radius_0_to_150,num_dead_cart_cells_radius_0_to_150,tumor_cells_type1_radius_0_to_150,tumor_cells_type2_radius_0_to_150,tumor_cells_type3_radius_0_to_150,tumor_cells_type4_radius_0_to_150,tumor_cells_type5_dead_radius_0_to_150,average_oncoprotein_radius_0_to_150,average_oxygen_cancer_cells_radius_0_to_150,average_oxygen_all_cells_radius_0_to_150,average_glucose_cancer_cells_radius_0_to_150,average_glucose_all_cells_radius_0_to_150,num_alive_cells_radius_150_to_300,num_dead_cells_radius_150_to_300,total_num_cells_radius_150_to_300,num_alive_tumor_cells_radius_150_to_300,total_num_tumor_cells_radius_150_to_300,num_alive_cart_cells_radius_150_to_300,num_dead_cart_cells_radius_150_to_300,tumor_cells_type1_radius_150_to_300,tumor_cells_type2_radius_150_to_300,tumor_cells_type3_radius_150_to_300,tumor_cells_type4_radius_150_to_300,tumor_cells_type5_dead_radius_150_to_300,average_oncoprotein_radius_150_to_300,average_oxygen_cancer_cells_radius_150_to_300,average_oxygen_all_cells_radius_150_to_300,average_glucose_cancer_cells_radius_150_to_300,average_glucose_all_cells_radius_150_to_300,num_alive_cells_radius_300_to_450,num_dead_cells_radius_300_to_450,total_num_cells_radius_300_to_450,num_alive_tumor_cells_radius_300_to_450,total_num_tumor_cells_radius_300_to_450,num_alive_cart_cells_radius_300_to_450,num_dead_cart_cells_radius_300_to_450,tumor_cells_type1_radius_300_to_450,tumor_cells_type2_radius_300_to_450,tumor_cells_type3_radius_300_to_450,tumor_cells_type4_radius_300_to_450,tumor_cells_type5_dead_radius_300_to_450,average_oncoprotein_radius_300_to_450,average_oxygen_cancer_cells_radius_300_to_450,average_oxygen_all_cells_radius_300_to_450,average_glucose_cancer_cells_radius_300_to_450,average_glucose_all_cells_radius_300_to_450,num_alive_cells_radius_450_to_600,num_dead_cells_radius_450_to_600,total_num_cells_radius_450_to_600,num_alive_tumor_cells_radius_450_to_600,total_num_tumor_cells_radius_450_to_600,num_alive_cart_cells_radius_450_to_600,num_dead_cart_cells_radius_450_to_600,tumor_cells_type1_radius_450_to_600,tumor_cells_type2_radius_450_to_600,tumor_cells_type3_radius_450_to_600,tumor_cells_type4_radius_450_to_600,tumor_cells_type5_dead_radius_450_to_600,average_oncoprotein_radius_450_to_600,average_oxygen_cancer_cells_radius_450_to_600,average_oxygen_all_cells_radius_450_to_600,average_glucose_cancer_cells_radius_450_to_600,average_glucose_all_cells_radius_450_to_600,num_alive_cells_radius_600_to_750,num_dead_cells_radius_600_to_750,total_num_cells_radius_600_to_750,num_alive_tumor_cells_radius_600_to_750,total_num_tumor_cells_radius_600_to_750,num_alive_cart_cells_radius_600_to_750,num_dead_cart_cells_radius_600_to_750,tumor_cells_type1_radius_600_to_750,tumor_cells_type2_radius_600_to_750,tumor_cells_type3_radius_600_to_750,tumor_cells_type4_radius_600_to_750,tumor_cells_type5_dead_radius_600_to_750,average_oncoprotein_radius_600_to_750,average_oxygen_cancer_cells_radius_600_to_750,average_oxygen_all_cells_radius_600_to_750,average_glucose_cancer_cells_radius_600_to_750,average_glucose_all_cells_radius_600_to_750,num_alive_cells_radius_750_to_900,num_dead_cells_radius_750_to_900,total_num_cells_radius_750_to_900,num_alive_tumor_cells_radius_750_to_900,total_num_tumor_cells_radius_750_to_900,num_alive_cart_cells_radius_750_to_900,num_dead_cart_cells_radius_750_to_900,tumor_cells_type1_radius_750_to_900,tumor_cells_type2_radius_750_to_900,tumor_cells_type3_radius_750_to_900,tumor_cells_type4_radius_750_to_900,tumor_cells_type5_dead_radius_750_to_900,average_oncoprotein_radius_750_to_900,average_oxygen_cancer_cells_radius_750_to_900,average_oxygen_all_cells_radius_750_to_900,average_glucose_cancer_cells_radius_750_to_900,average_glucose_all_cells_radius_750_to_900,num_alive_cells_radius_900_to_1050,num_dead_cells_radius_900_to_1050,total_num_cells_radius_900_to_1050,num_alive_tumor_cells_radius_900_to_1050,total_num_tumor_cells_radius_900_to_1050,num_alive_cart_cells_radius_900_to_1050,num_dead_cart_cells_radius_900_to_1050,tumor_cells_type1_radius_900_to_1050,tumor_cells_type2_radius_900_to_1050,tumor_cells_type3_radius_900_to_1050,tumor_cells_type4_radius_900_to_1050,tumor_cells_type5_dead_radius_900_to_1050,average_oncoprotein_radius_900_to_1050,average_oxygen_cancer_cells_radius_900_to_1050,average_oxygen_all_cells_radius_900_to_1050,average_glucose_cancer_cells_radius_900_to_1050,average_glucose_all_cells_radius_900_to_1050,num_alive_cells_radius_1050_to_1200,num_dead_cells_radius_1050_to_1200,total_num_cells_radius_1050_to_1200,num_alive_tumor_cells_radius_1050_to_1200,total_num_tumor_cells_radius_1050_to_1200,num_alive_cart_cells_radius_1050_to_1200,num_dead_cart_cells_radius_1050_to_1200,tumor_cells_type1_radius_1050_to_1200,tumor_cells_type2_radius_1050_to_1200,tumor_cells_type3_radius_1050_to_1200,tumor_cells_type4_radius_1050_to_1200,tumor_cells_type5_dead_radius_1050_to_1200,average_oncoprotein_radius_1050_to_1200,average_oxygen_cancer_cells_radius_1050_to_1200,average_oxygen_all_cells_radius_1050_to_1200,average_glucose_cancer_cells_radius_1050_to_1200,average_glucose_all_cells_radius_1050_to_1200,num_alive_cells_radius_1200_to_1350,num_dead_cells_radius_1200_to_1350,total_num_cells_radius_1200_to_1350,num_alive_tumor_cells_radius_1200_to_1350,total_num_tumor_cells_radius_1200_to_1350,num_alive_cart_cells_radius_1200_to_1350,num_dead_cart_cells_radius_1200_to_1350,tumor_cells_type1_radius_1200_to_1350,tumor_cells_type2_radius_1200_to_1350,tumor_cells_type3_radius_1200_to_1350,tumor_cells_type4_radius_1200_to_1350,tumor_cells_type5_dead_radius_1200_to_1350,average_oncoprotein_radius_1200_to_1350,average_oxygen_cancer_cells_radius_1200_to_1350,average_oxygen_all_cells_radius_1200_to_1350,average_glucose_cancer_cells_radius_1200_to_1350,average_glucose_all_cells_radius_1200_to_1350,num_alive_cells_radius_1350_to_1500,num_dead_cells_radius_1350_to_1500,total_num_cells_radius_1350_to_1500,num_alive_tumor_cells_radius_1350_to_1500,total_num_tumor_cells_radius_1350_to_1500,num_alive_cart_cells_radius_1350_to_1500,num_dead_cart_cells_radius_1350_to_1500,tumor_cells_type1_radius_1350_to_1500,tumor_cells_type2_radius_1350_to_1500,tumor_cells_type3_radius_1350_to_1500,tumor_cells_type4_radius_1350_to_1500,tumor_cells_type5_dead_radius_1350_to_1500,average_oncoprotein_radius_1350_to_1500,average_oxygen_cancer_cells_radius_1350_to_1500,average_oxygen_all_cells_radius_1350_to_1500,average_glucose_cancer_cells_radius_1350_to_1500,average_glucose_all_cells_radius_1350_to_1500,num_alive_cells_radius_1500_to_1650,num_dead_cells_radius_1500_to_1650,total_num_cells_radius_1500_to_1650,num_alive_tumor_cells_radius_1500_to_1650,total_num_tumor_cells_radius_1500_to_1650,num_alive_cart_cells_radius_1500_to_1650,num_dead_cart_cells_radius_1500_to_1650,tumor_cells_type1_radius_1500_to_1650,tumor_cells_type2_radius_1500_to_1650,tumor_cells_type3_radius_1500_to_1650,tumor_cells_type4_radius_1500_to_1650,tumor_cells_type5_dead_radius_1500_to_1650,average_oncoprotein_radius_1500_to_1650,average_oxygen_cancer_cells_radius_1500_to_1650,average_oxygen_all_cells_radius_1500_to_1650,average_glucose_cancer_cells_radius_1500_to_1650,average_glucose_all_cells_radius_1500_to_1650,num_alive_cells_radius_1650_to_1800,num_dead_cells_radius_1650_to_1800,total_num_cells_radius_1650_to_1800,num_alive_tumor_cells_radius_1650_to_1800,total_num_tumor_cells_radius_1650_to_1800,num_alive_cart_cells_radius_1650_to_1800,num_dead_cart_cells_radius_1650_to_1800,tumor_cells_type1_radius_1650_to_1800,tumor_cells_type2_radius_1650_to_1800,tumor_cells_type3_radius_1650_to_1800,tumor_cells_type4_radius_1650_to_1800,tumor_cells_type5_dead_radius_1650_to_1800,average_oncoprotein_radius_1650_to_1800,average_oxygen_cancer_cells_radius_1650_to_1800,average_oxygen_all_cells_radius_1650_to_1800,average_glucose_cancer_cells_radius_1650_to_1800,average_glucose_all_cells_radius_1650_to_1800,num_alive_cells_radius_1800_to_1950,num_dead_cells_radius_1800_to_1950,total_num_cells_radius_1800_to_1950,num_alive_tumor_cells_radius_1800_to_1950,total_num_tumor_cells_radius_1800_to_1950,num_alive_cart_cells_radius_1800_to_1950,num_dead_cart_cells_radius_1800_to_1950,tumor_cells_type1_radius_1800_to_1950,tumor_cells_type2_radius_1800_to_1950,tumor_cells_type3_radius_1800_to_1950,tumor_cells_type4_radius_1800_to_1950,tumor_cells_type5_dead_radius_1800_to_1950,average_oncoprotein_radius_1800_to_1950,average_oxygen_cancer_cells_radius_1800_to_1950,average_oxygen_all_cells_radius_1800_to_1950,average_glucose_cancer_cells_radius_1800_to_1950,average_glucose_all_cells_radius_1800_to_1950,num_alive_cells_radius_1950_to_2100,num_dead_cells_radius_1950_to_2100,total_num_cells_radius_1950_to_2100,num_alive_tumor_cells_radius_1950_to_2100,total_num_tumor_cells_radius_1950_to_2100,num_alive_cart_cells_radius_1950_to_2100,num_dead_cart_cells_radius_1950_to_2100,tumor_cells_type1_radius_1950_to_2100,tumor_cells_type2_radius_1950_to_2100,tumor_cells_type3_radius_1950_to_2100,tumor_cells_type4_radius_1950_to_2100,tumor_cells_type5_dead_radius_1950_to_2100,average_oncoprotein_radius_1950_to_2100,average_oxygen_cancer_cells_radius_1950_to_2100,average_oxygen_all_cells_radius_1950_to_2100,average_glucose_cancer_cells_radius_1950_to_2100,average_glucose_all_cells_radius_1950_to_2100,num_alive_cells_radius_2100_to_2250,num_dead_cells_radius_2100_to_2250,total_num_cells_radius_2100_to_2250,num_alive_tumor_cells_radius_2100_to_2250,total_num_tumor_cells_radius_2100_to_2250,num_alive_cart_cells_radius_2100_to_2250,num_dead_cart_cells_radius_2100_to_2250,tumor_cells_type1_radius_2100_to_2250,tumor_cells_type2_radius_2100_to_2250,tumor_cells_type3_radius_2100_to_2250,tumor_cells_type4_radius_2100_to_2250,tumor_cells_type5_dead_radius_2100_to_2250,average_oncoprotein_radius_2100_to_2250,average_oxygen_cancer_cells_radius_2100_to_2250,average_oxygen_all_cells_radius_2100_to_2250,average_glucose_cancer_cells_radius_2100_to_2250,average_glucose_all_cells_radius_2100_to_2250,num_alive_cells_radius_2250_to_2400,num_dead_cells_radius_2250_to_2400,total_num_cells_radius_2250_to_2400,num_alive_tumor_cells_radius_2250_to_2400,total_num_tumor_cells_radius_2250_to_2400,num_alive_cart_cells_radius_2250_to_2400,num_dead_cart_cells_radius_2250_to_2400,tumor_cells_type1_radius_2250_to_2400,tumor_cells_type2_radius_2250_to_2400,tumor_cells_type3_radius_2250_to_2400,tumor_cells_type4_radius_2250_to_2400,tumor_cells_type5_dead_radius_2250_to_2400,average_oncoprotein_radius_2250_to_2400,average_oxygen_cancer_cells_radius_2250_to_2400,average_oxygen_all_cells_radius_2250_to_2400,average_glucose_cancer_cells_radius_2250_to_2400,average_glucose_all_cells_radius_2250_to_2400,num_alive_cells_radius_2400_to_2550,num_dead_cells_radius_2400_to_2550,total_num_cells_radius_2400_to_2550,num_alive_tumor_cells_radius_2400_to_2550,total_num_tumor_cells_radius_2400_to_2550,num_alive_cart_cells_radius_2400_to_2550,num_dead_cart_cells_radius_2400_to_2550,tumor_cells_type1_radius_2400_to_2550,tumor_cells_type2_radius_2400_to_2550,tumor_cells_type3_radius_2400_to_2550,tumor_cells_type4_radius_2400_to_2550,tumor_cells_type5_dead_radius_2400_to_2550,average_oncoprotein_radius_2400_to_2550,average_oxygen_cancer_cells_radius_2400_to_2550,average_oxygen_all_cells_radius_2400_to_2550,average_glucose_cancer_cells_radius_2400_to_2550,average_glucose_all_cells_radius_2400_to_2550,num_alive_cells_radius_2550_to_2700,num_dead_cells_radius_2550_to_2700,total_num_cells_radius_2550_to_2700,num_alive_tumor_cells_radius_2550_to_2700,total_num_tumor_cells_radius_2550_to_2700,num_alive_cart_cells_radius_2550_to_2700,num_dead_cart_cells_radius_2550_to_2700,tumor_cells_type1_radius_2550_to_2700,tumor_cells_type2_radius_2550_to_2700,tumor_cells_type3_radius_2550_to_2700,tumor_cells_type4_radius_2550_to_2700,tumor_cells_type5_dead_radius_2550_to_2700,average_oncoprotein_radius_2550_to_2700,average_oxygen_cancer_cells_radius_2550_to_2700,average_oxygen_all_cells_radius_2550_to_2700,average_glucose_cancer_cells_radius_2550_to_2700,average_glucose_all_cells_radius_2550_to_2700,num_alive_cells_radius_2700_to_2850,num_dead_cells_radius_2700_to_2850,total_num_cells_radius_2700_to_2850,num_alive_tumor_cells_radius_2700_to_2850,total_num_tumor_cells_radius_2700_to_2850,num_alive_cart_cells_radius_2700_to_2850,num_dead_cart_cells_radius_2700_to_2850,tumor_cells_type1_radius_2700_to_2850,tumor_cells_type2_radius_2700_to_2850,tumor_cells_type3_radius_2700_to_2850,tumor_cells_type4_radius_2700_to_2850,tumor_cells_type5_dead_radius_2700_to_2850,average_oncoprotein_radius_2700_to_2850,average_oxygen_cancer_cells_radius_2700_to_2850,average_oxygen_all_cells_radius_2700_to_2850,average_glucose_cancer_cells_radius_2700_to_2850,average_glucose_all_cells_radius_2700_to_2850,num_alive_cells_radius_2850_to_3000,num_dead_cells_radius_2850_to_3000,total_num_cells_radius_2850_to_3000,num_alive_tumor_cells_radius_2850_to_3000,total_num_tumor_cells_radius_2850_to_3000,num_alive_cart_cells_radius_2850_to_3000,num_dead_cart_cells_radius_2850_to_3000,tumor_cells_type1_radius_2850_to_3000,tumor_cells_type2_radius_2850_to_3000,tumor_cells_type3_radius_2850_to_3000,tumor_cells_type4_radius_2850_to_3000,tumor_cells_type5_dead_radius_2850_to_3000,average_oncoprotein_radius_2850_to_3000,average_oxygen_cancer_cells_radius_2850_to_3000,average_oxygen_all_cells_radius_2850_to_3000,average_glucose_cancer_cells_radius_2850_to_3000,average_glucose_all_cells_radius_2850_to_3000
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-1.16667,28,1680,64,1,65,64,65,0,0,0,64,0,0,1,1,5.25958,5.25958,10.5821,10.5821,206,2,208,206,208,0,0,0,206,0,0,2,1,5.38711,5.38711,10.5827,10.5827,333,2,335,333,335,0,0,0,333,0,0,2,1,5.66552,5.66552,10.585,10.585,498,3,501,498,501,0,0,0,498,0,0,3,1,6.11783,6.11783,10.5887,10.5887,598,4,602,598,602,0,0,0,598,0,0,4,1,6.73564,6.73564,10.5933,10.5933,779,6,785,779,785,0,0,0,779,0,0,6,1,7.56448,7.56448,10.5999,10.5999,870,9,879,870,879,0,0,0,870,0,0,9,1,8.57854,8.57854,10.6066,10.6066,1121,7,1128,1121,1128,0,0,0,1121,0,0,7,1,9.96068,9.96068,10.6153,10.6153,1223,10,1233,1223,1233,0,0,0,1223,0,0,10,1,11.6602,11.6602,10.6263,10.6263,1330,4,1334,1330,1334,0,0,0,1330,0,0,4,1,13.8379,13.8379,10.6386,10.6386,1532,12,1544,1532,1544,0,0,0,1532,0,0,12,1,16.4965,16.4965,10.6516,10.6516,1620,19,1639,1620,1639,0,0,0,1620,0,0,19,1,19.6861,19.6861,10.6663,10.6663,1668,21,1689,1668,1689,0,0,0,1668,0,0,21,1,23.7213,23.7213,10.6822,10.6822,1863,14,1877,1863,1877,0,0,0,1863,0,0,14,1,28.5881,28.5881,10.6994,10.6994,2022,19,2041,2022,2041,0,0,0,2022,0,0,19,1,34.7764,34.7764,10.7173,10.7173,2130,17,2147,2130,2147,0,0,0,2130,0,0,17,1,42.4135,42.4135,10.7383,10.7383,2312,20,2332,2312,2332,0,0,0,2312,0,0,20,1,51.7118,51.7118,10.7587,10.7587,2347,29,2376,2347,2376,0,0,0,2347,0,0,29,1,62.7225,62.7225,10.7812,10.7812,2586,28,2614,2586,2614,0,0,0,2586,0,0,28,1,77.2996,77.2996,10.8031,10.8031,2648,23,2671,2648,2671,0,0,0,2648,0,0,23,1,94.0853,94.0853,10.8299,10.8299
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-1.25,30,1800,64,1,65,64,65,0,0,0,64,0,0,1,1,5.26733,5.26733,9.96719,9.96719,206,2,208,206,208,0,0,0,206,0,0,2,1,5.39484,5.39484,9.96767,9.96767,333,2,335,333,335,0,0,0,333,0,0,2,1,5.67378,5.67378,9.9699,9.9699,498,3,501,498,501,0,0,0,498,0,0,3,1,6.1268,6.1268,9.97334,9.97334,598,4,602,598,602,0,0,0,598,0,0,4,1,6.74545,6.74545,9.97771,9.97771,779,6,785,779,785,0,0,0,779,0,0,6,1,7.57549,7.57549,9.98395,9.98395,868,11,879,868,879,0,0,0,868,0,0,11,1,8.59086,8.59086,9.99023,9.99023,1120,8,1128,1120,1128,0,0,0,1120,0,0,8,1,9.97431,9.97431,9.99849,9.99849,1220,13,1233,1220,1233,0,0,0,1220,0,0,13,1,11.6743,11.6743,10.0089,10.0089,1330,4,1334,1330,1334,0,0,0,1330,0,0,4,1,13.8523,13.8523,10.0204,10.0204,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5114,16.5114,10.0326,10.0326,1619,20,1639,1619,1639,0,0,0,1619,0,0,20,1,19.7019,19.7019,10.0464,10.0464,1667,22,1689,1667,1689,0,0,0,1667,0,0,22,1,23.7378,23.7378,10.0614,10.0614,1862,15,1877,1862,1877,0,0,0,1862,0,0,15,1,28.6064,28.6064,10.0776,10.0776,2020,21,2041,2020,2041,0,0,0,2020,0,0,21,1,34.7951,34.7951,10.0944,10.0944,2127,20,2147,2127,2147,0,0,0,2127,0,0,20,1,42.4316,42.4316,10.1142,10.1142,2311,21,2332,2311,2332,0,0,0,2311,0,0,21,1,51.7278,51.7278,10.1334,10.1334,2347,29,2376,2347,2376,0,0,0,2347,0,0,29,1,62.7364,62.7364,10.1545,10.1545,2586,28,2614,2586,2614,0,0,0,2586,0,0,28,1,77.3118,77.3118,10.1752,10.1752,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.0968,94.0968,10.2004,10.2004
-1.29167,31,1860,64,1,65,64,65,0,0,0,64,0,0,1,1,5.27077,5.27077,9.67335,9.67335,206,2,208,206,208,0,0,0,206,0,0,2,1,5.39816,5.39816,9.67378,9.67378,333,2,335,333,335,0,0,0,333,0,0,2,1,5.67736,5.67736,9.67594,9.67594,498,3,501,498,501,0,0,0,498,0,0,3,1,6.13084,6.13084,9.67929,9.67929,597,5,602,597,602,0,0,0,597,0,0,5,1,6.74979,6.74979,9.68352,9.68352,779,6,785,779,785,0,0,0,779,0,0,6,1,7.58015,7.58015,9.68959,9.68959,868,11,879,868,879,0,0,0,868,0,0,11,1,8.59546,8.59546,9.69566,9.69566,1120,8,1128,1120,1128,0,0,0,1120,0,0,8,1,9.97939,9.97939,9.70369,9.70369,1219,14,1233,1219,1233,0,0,0,1219,0,0,14,1,11.68,11.68,9.71376,9.71376,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.8584,13.8584,9.725,9.725,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5176,16.5176,9.73679,9.73679,1619,20,1639,1619,1639,0,0,0,1619,0,0,20,1,19.7087,19.7087,9.75017,9.75017,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7451,23.7451,9.76471,9.76471,1862,15,1877,1862,1877,0,0,0,1862,0,0,15,1,28.6146,28.6146,9.78042,9.78042,2020,21,2041,2020,2041,0,0,0,2020,0,0,21,1,34.8031,34.8031,9.79673,9.79673,2126,21,2147,2126,2147,0,0,0,2126,0,0,21,1,42.4404,42.4404,9.81595,9.81595,2310,22,2332,2310,2332,0,0,0,2310,0,0,22,1,51.7362,51.7362,9.83457,9.83457,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7447,62.7447,9.85507,9.85507,2586,28,2614,2586,2614,0,0,0,2586,0,0,28,1,77.318,77.318,9.87508,9.87508,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1018,94.1018,9.89961,9.89961
-1.33333,32,1920,64,1,65,64,65,0,0,0,64,0,0,1,1,5.27289,5.27289,9.38817,9.38817,206,2,208,206,208,0,0,0,206,0,0,2,1,5.40064,5.40064,9.38856,9.38856,333,2,335,333,335,0,0,0,333,0,0,2,1,5.67992,5.67992,9.39066,9.39066,498,3,501,498,501,0,0,0,498,0,0,3,1,6.13361,6.13361,9.39392,9.39392,597,5,602,597,602,0,0,0,597,0,0,5,1,6.7531,6.7531,9.39801,9.39801,778,7,785,778,785,0,0,0,778,0,0,7,1,7.58375,7.58375,9.40391,9.40391,867,12,879,867,879,0,0,0,867,0,0,12,1,8.5997,8.5997,9.40979,9.40979,1120,8,1128,1120,1128,0,0,0,1120,0,0,8,1,9.98304,9.98304,9.4176,9.4176,1218,15,1233,1218,1233,0,0,0,1218,0,0,15,1,11.6842,11.6842,9.42736,9.42736,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.8624,13.8624,9.43827,9.43827,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5222,16.5222,9.4497,9.4497,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.714,19.714,9.46267,9.46267,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7505,23.7505,9.47679,9.47679,1861,16,1877,1861,1877,0,0,0,1861,0,0,16,1,28.6203,28.6203,9.49203,9.49203,2019,22,2041,2019,2041,0,0,0,2019,0,0,22,1,34.8094,34.8094,9.50785,9.50785,2126,21,2147,2126,2147,0,0,0,2126,0,0,21,1,42.4453,42.4453,9.5265,9.5265,2310,22,2332,2310,2332,0,0,0,2310,0,0,22,1,51.7407,51.7407,9.54455,9.54455,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7495,62.7495,9.56444,9.56444,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.3223,77.3223,9.58385,9.58385,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1051,94.1051,9.60767,9.60767
-1.375,33,1980,64,1,65,64,65,0,0,0,64,0,0,1,1,5.27911,5.27911,9.11151,9.11151,205,3,208,205,208,0,0,0,205,0,0,3,1,5.40596,5.40596,9.11183,9.11183,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68489,5.68489,9.11387,9.11387,498,3,501,498,501,0,0,0,498,0,0,3,1,6.13825,6.13825,9.11702,9.11702,597,5,602,597,602,0,0,0,597,0,0,5,1,6.75758,6.75758,9.12097,9.12097,778,7,785,778,785,0,0,0,778,0,0,7,1,7.58848,7.58848,9.12671,9.12671,867,12,879,867,879,0,0,0,867,0,0,12,1,8.60488,8.60488,9.13241,9.13241,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.98853,9.98853,9.13999,9.13999,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6893,11.6893,9.14946,9.14946,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.867,13.867,9.16004,9.16004,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5262,16.5262,9.17111,9.17111,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.7179,19.7179,9.18368,9.18368,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7545,23.7545,9.19737,9.19737,1859,18,1877,1859,1877,0,0,0,1859,0,0,18,1,28.6246,28.6246,9.21216,9.21216,2018,22,2040,2018,2040,0,0,0,2018,0,0,22,1,34.8131,34.8131,9.22748,9.22748,2127,21,2148,2127,2148,0,0,0,2127,0,0,21,1,42.4453,42.4453,9.2456,9.2456,2309,23,2332,2309,2332,0,0,0,2309,0,0,23,1,51.7447,51.7447,9.26311,9.26311,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7506,62.7506,9.2824,9.2824,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.325,77.325,9.30123,9.30123,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.107,94.107,9.32435,9.32435
-1.41667,34,2040,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28048,5.28048,8.84298,8.84298,205,3,208,205,208,0,0,0,205,0,0,3,1,5.40756,5.40756,8.84327,8.84327,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68655,5.68655,8.84525,8.84525,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14009,6.14009,8.84831,8.84831,596,6,602,596,602,0,0,0,596,0,0,6,1,6.75981,6.75981,8.85213,8.85213,778,7,785,778,785,0,0,0,778,0,0,7,1,7.59049,7.59049,8.8577,8.8577,867,12,879,867,879,0,0,0,867,0,0,12,1,8.60672,8.60672,8.86321,8.86321,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.99008,9.99008,8.87057,8.87057,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6912,11.6912,8.87975,8.87975,1329,5,1334,1329,1334,0,0,0,1329,0,0,5,1,13.8688,13.8688,8.89002,8.89002,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5284,16.5284,8.90074,8.90074,1618,21,1639,1618,1639,0,0,0,1618,0,0,21,1,19.7206,19.7206,8.91293,8.91293,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7572,23.7572,8.92621,8.92621,1858,19,1877,1858,1877,0,0,0,1858,0,0,19,1,28.628,28.628,8.94057,8.94057,2018,22,2040,2018,2040,0,0,0,2018,0,0,22,1,34.8161,34.8161,8.95541,8.95541,2127,21,2148,2127,2148,0,0,0,2127,0,0,21,1,42.4471,42.4471,8.97299,8.97299,2309,23,2332,2309,2332,0,0,0,2309,0,0,23,1,51.7463,51.7463,8.98998,8.98998,2346,30,2376,2346,2376,0,0,0,2346,0,0,30,1,62.7518,62.7518,9.00869,9.00869,2585,29,2614,2585,2614,0,0,0,2585,0,0,29,1,77.3259,77.3259,9.02696,9.02696,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1076,94.1076,9.04941,9.04941
-1.45833,35,2100,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28386,5.28386,8.58235,8.58235,205,3,208,205,208,0,0,0,205,0,0,3,1,5.41077,5.41077,8.5826,8.5826,333,2,335,333,335,0,0,0,333,0,0,2,1,5.68998,5.68998,8.58453,8.58453,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14381,6.14381,8.5875,8.5875,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76384,6.76384,8.5912,8.5912,777,8,785,777,785,0,0,0,777,0,0,8,1,7.59483,7.59483,8.59661,8.59661,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61097,8.61097,8.60194,8.60194,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.99474,9.99474,8.60908,8.60908,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.6968,11.6968,8.61799,8.61799,1327,7,1334,1327,1334,0,0,0,1327,0,0,7,1,13.8748,13.8748,8.62796,8.62796,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5345,16.5345,8.63836,8.63836,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7275,19.7275,8.65018,8.65018,1666,23,1689,1666,1689,0,0,0,1666,0,0,23,1,23.7645,23.7645,8.66306,8.66306,1857,20,1877,1857,1877,0,0,0,1857,0,0,20,1,28.6366,28.6366,8.677,8.677,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8255,34.8255,8.69138,8.69138,2125,23,2148,2125,2148,0,0,0,2125,0,0,23,1,42.4573,42.4573,8.70845,8.70845,2308,24,2332,2308,2332,0,0,0,2308,0,0,24,1,51.7573,51.7573,8.72493,8.72493,2345,31,2376,2345,2376,0,0,0,2345,0,0,31,1,62.7617,62.7617,8.74308,8.74308,2584,30,2614,2584,2614,0,0,0,2584,0,0,30,1,77.3335,77.3335,8.7608,8.7608,2646,25,2671,2646,2671,0,0,0,2646,0,0,25,1,94.1131,94.1131,8.7826,8.7826
-1.5,36,2160,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28535,5.28535,8.32941,8.32941,205,3,208,205,208,0,0,0,205,0,0,3,1,5.41235,5.41235,8.32963,8.32963,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69162,5.69162,8.3315,8.3315,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14565,6.14565,8.33438,8.33438,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76584,6.76584,8.33796,8.33796,777,8,785,777,785,0,0,0,777,0,0,8,1,7.59712,7.59712,8.34322,8.34322,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61352,8.61352,8.34838,8.34838,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,9.9976,9.9976,8.35533,8.35533,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7001,11.7001,8.36398,8.36398,1327,7,1334,1327,1334,0,0,0,1327,0,0,7,1,13.8787,13.8787,8.37365,8.37365,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5392,16.5392,8.38373,8.38373,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7333,19.7333,8.3952,8.3952,1665,24,1689,1665,1689,0,0,0,1665,0,0,24,1,23.7705,23.7705,8.4077,8.4077,1857,20,1877,1857,1877,0,0,0,1857,0,0,20,1,28.643,28.643,8.42123,8.42123,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8315,34.8315,8.43517,8.43517,2125,23,2148,2125,2148,0,0,0,2125,0,0,23,1,42.4631,42.4631,8.45173,8.45173,2308,24,2332,2308,2332,0,0,0,2308,0,0,24,1,51.7628,51.7628,8.46772,8.46772,2345,31,2376,2345,2376,0,0,0,2345,0,0,31,1,62.7675,62.7675,8.48533,8.48533,2583,31,2614,2583,2614,0,0,0,2583,0,0,31,1,77.3391,77.3391,8.50251,8.50251,2645,26,2671,2645,2671,0,0,0,2645,0,0,26,1,94.1186,94.1186,8.52368,8.52368
-1.54167,37,2220,64,1,65,64,65,0,0,0,64,0,0,1,1,5.28921,5.28921,8.08395,8.08395,204,4,208,204,208,0,0,0,204,0,0,4,1,5.41686,5.41686,8.08415,8.08415,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69534,5.69534,8.08596,8.08596,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14891,6.14891,8.08874,8.08874,596,6,602,596,602,0,0,0,596,0,0,6,1,6.76899,6.76899,8.09219,8.09219,777,8,785,777,785,0,0,0,777,0,0,8,1,7.60036,7.60036,8.09731,8.09731,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61696,8.61696,8.1023,8.1023,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,10.0014,10.0014,8.10905,8.10905,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7044,11.7044,8.11745,8.11745,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.884,13.884,8.12685,8.12685,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5448,16.5448,8.13661,8.13661,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7391,19.7391,8.14774,8.14774,1666,24,1690,1666,1690,0,0,0,1666,0,0,24,1,23.7794,23.7794,8.15987,8.15987,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6521,28.6521,8.173,8.173,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8412,34.8412,8.18651,8.18651,2124,24,2148,2124,2148,0,0,0,2124,0,0,24,1,42.4742,42.4742,8.2026,8.2026,2307,25,2332,2307,2332,0,0,0,2307,0,0,25,1,51.7752,51.7752,8.21811,8.21811,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7808,62.7808,8.2352,8.2352,2581,33,2614,2581,2614,0,0,0,2581,0,0,33,1,77.3515,77.3515,8.25187,8.25187,2645,26,2671,2645,2671,0,0,0,2645,0,0,26,1,94.1284,94.1284,8.27242,8.27242
-1.58333,38,2280,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29007,5.29007,7.84572,7.84572,204,4,208,204,208,0,0,0,204,0,0,4,1,5.41772,5.41772,7.84588,7.84588,333,2,335,333,335,0,0,0,333,0,0,2,1,5.69624,5.69624,7.84764,7.84764,498,3,501,498,501,0,0,0,498,0,0,3,1,6.14986,6.14986,7.85034,7.85034,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77001,6.77001,7.85368,7.85368,777,8,785,777,785,0,0,0,777,0,0,8,1,7.60157,7.60157,7.85866,7.85866,867,12,879,867,879,0,0,0,867,0,0,12,1,8.61831,8.61831,7.86349,7.86349,1119,9,1128,1119,1128,0,0,0,1119,0,0,9,1,10.0029,10.0029,7.87005,7.87005,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7062,11.7062,7.87819,7.87819,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.886,13.886,7.88732,7.88732,1531,13,1544,1531,1544,0,0,0,1531,0,0,13,1,16.5474,16.5474,7.89679,7.89679,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7422,19.7422,7.90758,7.90758,1666,24,1690,1666,1690,0,0,0,1666,0,0,24,1,23.7827,23.7827,7.91935,7.91935,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6562,28.6562,7.93211,7.93211,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8462,34.8462,7.94521,7.94521,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4809,42.4809,7.96083,7.96083,2306,26,2332,2306,2332,0,0,0,2306,0,0,26,1,51.7818,51.7818,7.97588,7.97588,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7867,62.7867,7.99246,7.99246,2580,34,2614,2580,2614,0,0,0,2580,0,0,34,1,77.3574,77.3574,8.00863,8.00863,2644,27,2671,2644,2671,0,0,0,2644,0,0,27,1,94.1338,94.1338,8.02858,8.02858
-1.625,39,2340,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29364,5.29364,7.61452,7.61452,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42163,5.42163,7.61466,7.61466,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7003,5.7003,7.61638,7.61638,498,3,501,498,501,0,0,0,498,0,0,3,1,6.15435,6.15435,7.619,7.619,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77489,6.77489,7.62223,7.62223,776,9,785,776,785,0,0,0,776,0,0,9,1,7.60656,7.60656,7.62707,7.62707,866,13,879,866,879,0,0,0,866,0,0,13,1,8.6235,8.6235,7.63175,7.63175,1118,10,1128,1118,1128,0,0,0,1118,0,0,10,1,10.0083,10.0083,7.63812,7.63812,1216,17,1233,1216,1233,0,0,0,1216,0,0,17,1,11.7114,11.7114,7.64602,7.64602,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.8913,13.8913,7.65488,7.65488,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5526,16.5526,7.66406,7.66406,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7479,19.7479,7.67452,7.67452,1665,25,1690,1665,1690,0,0,0,1665,0,0,25,1,23.7887,23.7887,7.68595,7.68595,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6622,28.6622,7.69832,7.69832,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8521,34.8521,7.71102,7.71102,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4876,42.4876,7.72619,7.72619,2306,26,2332,2306,2332,0,0,0,2306,0,0,26,1,51.7893,51.7893,7.74079,7.74079,2344,32,2376,2344,2376,0,0,0,2344,0,0,32,1,62.7951,62.7951,7.75689,7.75689,2578,36,2614,2578,2614,0,0,0,2578,0,0,36,1,77.3663,77.3663,7.77257,7.77257,2643,28,2671,2643,2671,0,0,0,2643,0,0,28,1,94.1412,94.1412,7.79195,7.79195
-1.66667,40,2400,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29455,5.29455,7.39015,7.39015,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42265,5.42265,7.39027,7.39027,333,2,335,333,335,0,0,0,333,0,0,2,1,5.70135,5.70135,7.39193,7.39193,498,3,501,498,501,0,0,0,498,0,0,3,1,6.15551,6.15551,7.39447,7.39447,596,6,602,596,602,0,0,0,596,0,0,6,1,6.77621,6.77621,7.3976,7.3976,776,9,785,776,785,0,0,0,776,0,0,9,1,7.60798,7.60798,7.40231,7.40231,866,13,879,866,879,0,0,0,866,0,0,13,1,8.6252,8.6252,7.40684,7.40684,1118,10,1128,1118,1128,0,0,0,1118,0,0,10,1,10.0105,10.0105,7.41303,7.41303,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.714,11.714,7.42069,7.42069,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.8942,13.8942,7.42929,7.42929,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5558,16.5558,7.43819,7.43819,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7518,19.7518,7.44834,7.44834,1665,25,1690,1665,1690,0,0,0,1665,0,0,25,1,23.7934,23.7934,7.45943,7.45943,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6678,28.6678,7.47144,7.47144,2017,23,2040,2017,2040,0,0,0,2017,0,0,23,1,34.8591,34.8591,7.48376,7.48376,2123,25,2148,2123,2148,0,0,0,2123,0,0,25,1,42.4957,42.4957,7.49849,7.49849,2305,27,2332,2305,2332,0,0,0,2305,0,0,27,1,51.8006,51.8006,7.51266,7.51266,2343,33,2376,2343,2376,0,0,0,2343,0,0,33,1,62.8056,62.8056,7.52828,7.52828,2576,38,2614,2576,2614,0,0,0,2576,0,0,38,1,77.3776,77.3776,7.54349,7.54349,2642,29,2671,2642,2671,0,0,0,2642,0,0,29,1,94.1511,94.1511,7.56231,7.56231
-1.70833,41,2460,64,1,65,64,65,0,0,0,64,0,0,1,1,5.29902,5.29902,7.1724,7.1724,204,4,208,204,208,0,0,0,204,0,0,4,1,5.42747,5.42747,7.17249,7.17249,333,2,335,333,335,0,0,0,333,0,0,2,1,5.70633,5.70633,7.17411,7.17411,498,3,501,498,501,0,0,0,498,0,0,3,1,6.1607,6.1607,7.17658,7.17658,596,6,602,596,602,0,0,0,596,0,0,6,1,6.78202,6.78202,7.17961,7.17961,776,9,785,776,785,0,0,0,776,0,0,9,1,7.61463,7.61463,7.1842,7.1842,865,14,879,865,879,0,0,0,865,0,0,14,1,8.63231,8.63231,7.18858,7.18858,1117,11,1128,1117,1128,0,0,0,1117,0,0,11,1,10.0179,10.0179,7.1946,7.1946,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7223,11.7223,7.20204,7.20204,1326,8,1334,1326,1334,0,0,0,1326,0,0,8,1,13.9023,13.9023,7.21039,7.21039,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5648,16.5648,7.21901,7.21901,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7613,19.7613,7.22886,7.22886,1664,26,1690,1664,1690,0,0,0,1664,0,0,26,1,23.804,23.804,7.23962,7.23962,1856,20,1876,1856,1876,0,0,0,1856,0,0,20,1,28.6792,28.6792,7.25128,7.25128,2016,24,2040,2016,2040,0,0,0,2016,0,0,24,1,34.8725,34.8725,7.26322,7.26322,2122,26,2148,2122,2148,0,0,0,2122,0,0,26,1,42.51,42.51,7.27753,7.27753,2302,30,2332,2302,2332,0,0,0,2302,0,0,30,1,51.8164,51.8164,7.29128,7.29128,2342,34,2376,2342,2376,0,0,0,2342,0,0,34,1,62.8204,62.8204,7.30643,7.30643,2576,38,2614,2576,2614,0,0,0,2576,0,0,38,1,77.3902,77.3902,7.32119,7.32119,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1626,94.1626,7.33946,7.33946
-1.75,42,2520,63,2,65,63,65,0,0,0,63,0,0,2,1,5.30648,5.30648,6.96117,6.96117,204,4,208,204,208,0,0,0,204,0,0,4,1,5.43333,5.43333,6.96122,6.96122,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7116,5.7116,6.96278,6.96278,498,3,501,498,501,0,0,0,498,0,0,3,1,6.16579,6.16579,6.96517,6.96517,596,6,602,596,602,0,0,0,596,0,0,6,1,6.78734,6.78734,6.96809,6.96809,776,9,785,776,785,0,0,0,776,0,0,9,1,7.62003,7.62003,6.97255,6.97255,864,15,879,864,879,0,0,0,864,0,0,15,1,8.63833,8.63833,6.9768,6.9768,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0239,10.0239,6.98264,6.98264,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7286,11.7286,6.98986,6.98986,1324,10,1334,1324,1334,0,0,0,1324,0,0,10,1,13.9093,13.9093,6.99796,6.99796,1530,14,1544,1530,1544,0,0,0,1530,0,0,14,1,16.5721,16.5721,7.00632,7.00632,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7696,19.7696,7.01587,7.01587,1664,26,1690,1664,1690,0,0,0,1664,0,0,26,1,23.8137,23.8137,7.02631,7.02631,1855,21,1876,1855,1876,0,0,0,1855,0,0,21,1,28.6908,28.6908,7.03764,7.03764,2016,24,2040,2016,2040,0,0,0,2016,0,0,24,1,34.8847,34.8847,7.04922,7.04922,2122,26,2148,2122,2148,0,0,0,2122,0,0,26,1,42.5243,42.5243,7.06311,7.06311,2300,32,2332,2300,2332,0,0,0,2300,0,0,32,1,51.8314,51.8314,7.07645,7.07645,2341,35,2376,2341,2376,0,0,0,2341,0,0,35,1,62.8365,62.8365,7.09115,7.09115,2573,41,2614,2573,2614,0,0,0,2573,0,0,41,1,77.4059,77.4059,7.10547,7.10547,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1742,94.1742,7.1232,7.1232
-1.79167,43,2580,63,2,65,63,65,0,0,0,63,0,0,2,1,5.31283,5.31283,6.75614,6.75614,204,4,208,204,208,0,0,0,204,0,0,4,1,5.43946,5.43946,6.75617,6.75617,333,2,335,333,335,0,0,0,333,0,0,2,1,5.71818,5.71818,6.75769,6.75769,497,4,501,497,501,0,0,0,497,0,0,4,1,6.17308,6.17308,6.76002,6.76002,595,7,602,595,602,0,0,0,595,0,0,7,1,6.79453,6.79453,6.76285,6.76285,776,9,785,776,785,0,0,0,776,0,0,9,1,7.62757,7.62757,6.76718,6.76718,864,15,879,864,879,0,0,0,864,0,0,15,1,8.64596,8.64596,6.77129,6.77129,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0319,10.0319,6.77697,6.77697,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.738,11.738,6.78398,6.78398,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.919,13.919,6.79184,6.79184,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.5818,16.5818,6.79994,6.79994,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7799,19.7799,6.8092,6.8092,1663,27,1690,1663,1690,0,0,0,1663,0,0,27,1,23.8239,23.8239,6.81933,6.81933,1855,21,1876,1855,1876,0,0,0,1855,0,0,21,1,28.7019,28.7019,6.83032,6.83032,2015,25,2040,2015,2040,0,0,0,2015,0,0,25,1,34.8964,34.8964,6.84155,6.84155,2121,27,2148,2121,2148,0,0,0,2121,0,0,27,1,42.5367,42.5367,6.85503,6.85503,2299,33,2332,2299,2332,0,0,0,2299,0,0,33,1,51.8443,51.8443,6.86797,6.86797,2339,37,2376,2339,2376,0,0,0,2339,0,0,37,1,62.8494,62.8494,6.88224,6.88224,2572,42,2614,2572,2614,0,0,0,2572,0,0,42,1,77.417,77.417,6.89612,6.89612,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1824,94.1824,6.91334,6.91334
-1.83333,44,2640,63,2,65,63,65,0,0,0,63,0,0,2,1,5.31449,5.31449,6.55719,6.55719,204,4,208,204,208,0,0,0,204,0,0,4,1,5.44118,5.44118,6.55719,6.55719,333,2,335,333,335,0,0,0,333,0,0,2,1,5.71999,5.71999,6.55868,6.55868,497,4,501,497,501,0,0,0,497,0,0,4,1,6.17503,6.17503,6.56093,6.56093,595,7,602,595,602,0,0,0,595,0,0,7,1,6.79674,6.79674,6.56366,6.56366,776,9,785,776,785,0,0,0,776,0,0,9,1,7.63005,7.63005,6.56787,6.56787,864,15,879,864,879,0,0,0,864,0,0,15,1,8.64879,8.64879,6.57184,6.57184,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0352,10.0352,6.57736,6.57736,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7418,11.7418,6.58417,6.58417,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9236,13.9236,6.5918,6.5918,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.5877,16.5877,6.59965,6.59965,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7866,19.7866,6.60863,6.60863,1663,27,1690,1663,1690,0,0,0,1663,0,0,27,1,23.8316,23.8316,6.61846,6.61846,1853,23,1876,1853,1876,0,0,0,1853,0,0,23,1,28.7111,28.7111,6.62913,6.62913,2014,26,2040,2014,2040,0,0,0,2014,0,0,26,1,34.9051,34.9051,6.64001,6.64001,2121,27,2148,2121,2148,0,0,0,2121,0,0,27,1,42.545,42.545,6.6531,6.6531,2297,35,2332,2297,2332,0,0,0,2297,0,0,35,1,51.8526,51.8526,6.66565,6.66565,2339,37,2376,2339,2376,0,0,0,2339,0,0,37,1,62.8566,62.8566,6.67949,6.67949,2571,43,2614,2571,2614,0,0,0,2571,0,0,43,1,77.4232,77.4232,6.69296,6.69296,2641,30,2671,2641,2671,0,0,0,2641,0,0,30,1,94.1866,94.1866,6.70968,6.70968
-1.875,45,2700,63,2,65,63,65,0,0,0,63,0,0,2,1,5.31866,5.31866,6.3641,6.3641,204,4,208,204,208,0,0,0,204,0,0,4,1,5.44538,5.44538,6.36409,6.36409,333,2,335,333,335,0,0,0,333,0,0,2,1,5.7244,5.7244,6.36553,6.36553,496,5,501,496,501,0,0,0,496,0,0,5,1,6.17972,6.17972,6.36772,6.36772,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80132,6.80132,6.37036,6.37036,775,10,785,775,785,0,0,0,775,0,0,10,1,7.63472,7.63472,6.37444,6.37444,864,15,879,864,879,0,0,0,864,0,0,15,1,8.65328,8.65328,6.37829,6.37829,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0396,10.0396,6.38365,6.38365,1214,19,1233,1214,1233,0,0,0,1214,0,0,19,1,11.7466,11.7466,6.39025,6.39025,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9291,13.9291,6.39766,6.39766,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.5936,16.5936,6.40527,6.40527,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.7936,19.7936,6.41399,6.41399,1663,27,1690,1663,1690,0,0,0,1663,0,0,27,1,23.8398,23.8398,6.42353,6.42353,1853,23,1876,1853,1876,0,0,0,1853,0,0,23,1,28.7211,28.7211,6.43389,6.43389,2013,27,2040,2013,2040,0,0,0,2013,0,0,27,1,34.9163,34.9163,6.44444,6.44444,2121,27,2148,2121,2148,0,0,0,2121,0,0,27,1,42.5586,42.5586,6.45715,6.45715,2297,35,2332,2297,2332,0,0,0,2297,0,0,35,1,51.8676,51.8676,6.46932,6.46932,2339,37,2376,2339,2376,0,0,0,2339,0,0,37,1,62.8737,62.8737,6.48275,6.48275,2568,46,2614,2568,2614,0,0,0,2568,0,0,46,1,77.4409,77.4409,6.49581,6.49581,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2052,94.2052,6.51205,6.51205
-1.91667,46,2760,63,2,65,63,65,0,0,0,63,0,0,2,1,5.32357,5.32357,6.17674,6.17674,203,5,208,203,208,0,0,0,203,0,0,5,1,5.44993,5.44993,6.1767,6.1767,333,2,335,333,335,0,0,0,333,0,0,2,1,5.72905,5.72905,6.1781,6.1781,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18393,6.18393,6.18021,6.18021,595,7,602,595,602,0,0,0,595,0,0,7,1,6.8053,6.8053,6.18276,6.18276,775,10,785,775,785,0,0,0,775,0,0,10,1,7.63894,7.63894,6.18673,6.18673,864,15,879,864,879,0,0,0,864,0,0,15,1,8.65787,8.65787,6.19045,6.19045,1116,12,1128,1116,1128,0,0,0,1116,0,0,12,1,10.0447,10.0447,6.19566,6.19566,1213,20,1233,1213,1233,0,0,0,1213,0,0,20,1,11.7522,11.7522,6.20207,6.20207,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9352,13.9352,6.20925,6.20925,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6002,16.6002,6.21664,6.21664,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8006,19.8006,6.22509,6.22509,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8483,23.8483,6.23435,6.23435,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7303,28.7303,6.24441,6.24441,2012,28,2040,2012,2040,0,0,0,2012,0,0,28,1,34.9261,34.9261,6.25464,6.25464,2120,28,2148,2120,2148,0,0,0,2120,0,0,28,1,42.569,42.569,6.26698,6.26698,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.8772,51.8772,6.27879,6.27879,2337,39,2376,2337,2376,0,0,0,2337,0,0,39,1,62.8818,62.8818,6.29182,6.29182,2568,46,2614,2568,2614,0,0,0,2568,0,0,46,1,77.4467,77.4467,6.30449,6.30449,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2089,94.2089,6.32025,6.32025
-1.95833,47,2820,63,2,65,63,65,0,0,0,63,0,0,2,1,5.32601,5.32601,5.99488,5.99488,203,5,208,203,208,0,0,0,203,0,0,5,1,5.45251,5.45251,5.99482,5.99482,333,2,335,333,335,0,0,0,333,0,0,2,1,5.73176,5.73176,5.99619,5.99619,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18683,6.18683,5.99824,5.99824,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80855,6.80855,6.0007,6.0007,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64255,7.64255,6.00456,6.00456,864,15,879,864,879,0,0,0,864,0,0,15,1,8.66195,8.66195,6.00816,6.00816,1115,13,1128,1115,1128,0,0,0,1115,0,0,13,1,10.0495,10.0495,6.01323,6.01323,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7574,11.7574,6.01945,6.01945,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9404,13.9404,6.02642,6.02642,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6059,16.6059,6.03358,6.03358,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8071,19.8071,6.04178,6.04178,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8552,23.8552,6.05077,6.05077,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7384,28.7384,6.06053,6.06053,2012,28,2040,2012,2040,0,0,0,2012,0,0,28,1,34.9356,34.9356,6.07045,6.07045,2119,29,2148,2119,2148,0,0,0,2119,0,0,29,1,42.5796,42.5796,6.08243,6.08243,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.888,51.888,6.09389,6.09389,2336,40,2376,2336,2376,0,0,0,2336,0,0,40,1,62.8934,62.8934,6.10654,6.10654,2567,47,2614,2567,2614,0,0,0,2567,0,0,47,1,77.4568,77.4568,6.11882,6.11882,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2165,94.2165,6.13412,6.13412
-2,48,2880,63,2,65,63,65,0,0,0,63,0,0,2,1,5.3269,5.3269,5.81839,5.81839,203,5,208,203,208,0,0,0,203,0,0,5,1,5.45347,5.45347,5.81831,5.81831,333,2,335,333,335,0,0,0,333,0,0,2,1,5.73277,5.73277,5.81964,5.81964,496,5,501,496,501,0,0,0,496,0,0,5,1,6.18792,6.18792,5.82162,5.82162,595,7,602,595,602,0,0,0,595,0,0,7,1,6.80979,6.80979,5.82401,5.82401,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64388,7.64388,5.82776,5.82776,864,15,879,864,879,0,0,0,864,0,0,15,1,8.6635,8.6635,5.83125,5.83125,1115,13,1128,1115,1128,0,0,0,1115,0,0,13,1,10.0514,10.0514,5.83618,5.83618,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7596,11.7596,5.84221,5.84221,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.943,13.943,5.84898,5.84898,1529,15,1544,1529,1544,0,0,0,1529,0,0,15,1,16.6088,16.6088,5.85592,5.85592,1617,22,1639,1617,1639,0,0,0,1617,0,0,22,1,19.8108,19.8108,5.86387,5.86387,1662,28,1690,1662,1690,0,0,0,1662,0,0,28,1,23.8596,23.8596,5.8726,5.8726,1851,25,1876,1851,1876,0,0,0,1851,0,0,25,1,28.7439,28.7439,5.88208,5.88208,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9423,34.9423,5.89169,5.89169,2118,30,2148,2118,2148,0,0,0,2118,0,0,30,1,42.586,42.586,5.90333,5.90333,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.8947,51.8947,5.91444,5.91444,2335,41,2376,2335,2376,0,0,0,2335,0,0,41,1,62.9004,62.9004,5.92671,5.92671,2566,48,2614,2566,2614,0,0,0,2566,0,0,48,1,77.4635,77.4635,5.93863,5.93863,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.2219,94.2219,5.95349,5.95349
-2.04167,49,2940,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33289,5.33289,5.64712,5.64712,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46013,5.46013,5.64703,5.64703,331,4,335,331,335,0,0,0,331,0,0,4,1,5.7392,5.7392,5.64832,5.64832,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19373,6.19373,5.65024,5.65024,595,7,602,595,602,0,0,0,595,0,0,7,1,6.81529,6.81529,5.65253,5.65253,775,10,785,775,785,0,0,0,775,0,0,10,1,7.64912,7.64912,5.65618,5.65618,864,15,879,864,879,0,0,0,864,0,0,15,1,8.66904,8.66904,5.65956,5.65956,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0573,10.0573,5.66435,5.66435,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7654,11.7654,5.6702,5.6702,1322,12,1334,1322,1334,0,0,0,1322,0,0,12,1,13.9494,13.9494,5.67678,5.67678,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6158,16.6158,5.68351,5.68351,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8188,19.8188,5.69122,5.69122,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8677,23.8677,5.69969,5.69969,1850,26,1876,1850,1876,0,0,0,1850,0,0,26,1,28.7518,28.7518,5.70889,5.70889,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9498,34.9498,5.71821,5.71821,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.5933,42.5933,5.72951,5.72951,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9,51.9,5.74029,5.74029,2335,41,2376,2335,2376,0,0,0,2335,0,0,41,1,62.9047,62.9047,5.7522,5.7522,2566,48,2614,2566,2614,0,0,0,2566,0,0,48,1,77.4668,77.4668,5.76375,5.76375,2638,33,2671,2638,2671,0,0,0,2638,0,0,33,1,94.224,94.224,5.77818,5.77818
-2.08333,50,3000,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33704,5.33704,5.48092,5.48092,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46404,5.46404,5.48082,5.48082,330,5,335,330,335,0,0,0,330,0,0,5,1,5.74304,5.74304,5.48207,5.48207,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19712,6.19712,5.48392,5.48392,595,7,602,595,602,0,0,0,595,0,0,7,1,6.81837,6.81837,5.48614,5.48614,775,10,785,775,785,0,0,0,775,0,0,10,1,7.65244,7.65244,5.48968,5.48968,864,15,879,864,879,0,0,0,864,0,0,15,1,8.67247,8.67247,5.49295,5.49295,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0612,10.0612,5.4976,5.4976,1212,21,1233,1212,1233,0,0,0,1212,0,0,21,1,11.7698,11.7698,5.50328,5.50328,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9546,13.9546,5.50967,5.50967,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6211,16.6211,5.51619,5.51619,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8246,19.8246,5.52367,5.52367,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8742,23.8742,5.53189,5.53189,1849,27,1876,1849,1876,0,0,0,1849,0,0,27,1,28.76,28.76,5.54082,5.54082,2011,29,2040,2011,2040,0,0,0,2011,0,0,29,1,34.9581,34.9581,5.54985,5.54985,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.6029,42.6029,5.56082,5.56082,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9116,51.9116,5.57128,5.57128,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9174,62.9174,5.58283,5.58283,2565,49,2614,2565,2614,0,0,0,2565,0,0,49,1,77.4818,77.4818,5.59405,5.59405,2635,36,2671,2635,2671,0,0,0,2635,0,0,36,1,94.2386,94.2386,5.60806,5.60806
-2.125,51,3060,63,2,65,63,65,0,0,0,63,0,0,2,1,5.33931,5.33931,5.31962,5.31962,203,5,208,203,208,0,0,0,203,0,0,5,1,5.46641,5.46641,5.3195,5.3195,330,5,335,330,335,0,0,0,330,0,0,5,1,5.74557,5.74557,5.32072,5.32072,496,5,501,496,501,0,0,0,496,0,0,5,1,6.19995,6.19995,5.32251,5.32251,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82172,6.82172,5.32466,5.32466,775,10,785,775,785,0,0,0,775,0,0,10,1,7.6557,7.6557,5.3281,5.3281,864,15,879,864,879,0,0,0,864,0,0,15,1,8.6758,8.6758,5.33126,5.33126,1114,14,1128,1114,1128,0,0,0,1114,0,0,14,1,10.0646,10.0646,5.33578,5.33578,1211,22,1233,1211,1233,0,0,0,1211,0,0,22,1,11.7734,11.7734,5.34128,5.34128,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.959,13.959,5.34749,5.34749,1528,16,1544,1528,1544,0,0,0,1528,0,0,16,1,16.6257,16.6257,5.35381,5.35381,1616,23,1639,1616,1639,0,0,0,1616,0,0,23,1,19.8302,19.8302,5.36106,5.36106,1661,29,1690,1661,1690,0,0,0,1661,0,0,29,1,23.8808,23.8808,5.36904,5.36904,1848,28,1876,1848,1876,0,0,0,1848,0,0,28,1,28.7679,28.7679,5.37771,5.37771,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.967,34.967,5.38647,5.38647,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.611,42.611,5.39712,5.39712,2295,37,2332,2295,2332,0,0,0,2295,0,0,37,1,51.9198,51.9198,5.40727,5.40727,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9249,62.9249,5.41848,5.41848,2564,50,2614,2564,2614,0,0,0,2564,0,0,50,1,77.4885,77.4885,5.42936,5.42936,2635,36,2671,2635,2671,0,0,0,2635,0,0,36,1,94.243,94.243,5.44296,5.44296
-2.16667,52,3120,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34347,5.34347,5.16306,5.16306,203,5,208,203,208,0,0,0,203,0,0,5,1,5.47057,5.47057,5.16293,5.16293,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75001,5.75001,5.16411,5.16411,496,5,501,496,501,0,0,0,496,0,0,5,1,6.20488,6.20488,5.16586,5.16586,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82711,6.82711,5.16793,5.16793,775,10,785,775,785,0,0,0,775,0,0,10,1,7.66173,7.66173,5.17128,5.17128,864,15,879,864,879,0,0,0,864,0,0,15,1,8.68248,8.68248,5.17434,5.17434,1113,15,1128,1113,1128,0,0,0,1113,0,0,15,1,10.0725,10.0725,5.17874,5.17874,1210,23,1233,1210,1233,0,0,0,1210,0,0,23,1,11.7822,11.7822,5.18409,5.18409,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9685,13.9685,5.19011,5.19011,1527,17,1544,1527,1544,0,0,0,1527,0,0,17,1,16.6359,16.6359,5.19624,5.19624,1615,24,1639,1615,1639,0,0,0,1615,0,0,24,1,19.8409,19.8409,5.20327,5.20327,1659,31,1690,1659,1690,0,0,0,1659,0,0,31,1,23.8922,23.8922,5.21101,5.21101,1847,29,1876,1847,1876,0,0,0,1847,0,0,29,1,28.7786,28.7786,5.21943,5.21943,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9772,34.9772,5.22792,5.22792,2116,32,2148,2116,2148,0,0,0,2116,0,0,32,1,42.6215,42.6215,5.23826,5.23826,2293,39,2332,2293,2332,0,0,0,2293,0,0,39,1,51.9314,51.9314,5.2481,5.2481,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9362,62.9362,5.25898,5.25898,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.4989,77.4989,5.26953,5.26953,2634,37,2671,2634,2671,0,0,0,2634,0,0,37,1,94.2522,94.2522,5.28273,5.28273
-2.20833,53,3180,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34496,5.34496,5.01112,5.01112,203,5,208,203,208,0,0,0,203,0,0,5,1,5.47214,5.47214,5.01098,5.01098,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75168,5.75168,5.01213,5.01213,496,5,501,496,501,0,0,0,496,0,0,5,1,6.20664,6.20664,5.01383,5.01383,594,8,602,594,602,0,0,0,594,0,0,8,1,6.82909,6.82909,5.01584,5.01584,775,10,785,775,785,0,0,0,775,0,0,10,1,7.66393,7.66393,5.01909,5.01909,864,15,879,864,879,0,0,0,864,0,0,15,1,8.68506,8.68506,5.02206,5.02206,1113,15,1128,1113,1128,0,0,0,1113,0,0,15,1,10.0756,10.0756,5.02634,5.02634,1210,23,1233,1210,1233,0,0,0,1210,0,0,23,1,11.7858,11.7858,5.03152,5.03152,1321,13,1334,1321,1334,0,0,0,1321,0,0,13,1,13.9727,13.9727,5.03738,5.03738,1527,17,1544,1527,1544,0,0,0,1527,0,0,17,1,16.6409,16.6409,5.04331,5.04331,1613,26,1639,1613,1639,0,0,0,1613,0,0,26,1,19.8466,19.8466,5.05014,5.05014,1659,31,1690,1659,1690,0,0,0,1659,0,0,31,1,23.8979,23.8979,5.05765,5.05765,1847,29,1876,1847,1876,0,0,0,1847,0,0,29,1,28.7847,28.7847,5.06582,5.06582,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9847,34.9847,5.07405,5.07405,2114,34,2148,2114,2148,0,0,0,2114,0,0,34,1,42.6297,42.6297,5.08408,5.08408,2292,40,2332,2292,2332,0,0,0,2292,0,0,40,1,51.94,51.94,5.09363,5.09363,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.9441,62.9441,5.10418,5.10418,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.5056,77.5056,5.11442,5.11442,2633,38,2671,2633,2671,0,0,0,2633,0,0,38,1,94.2584,94.2584,5.12724,5.12724
-2.25,54,3240,63,2,65,63,65,0,0,0,63,0,0,2,1,5.34897,5.34897,4.86367,4.86367,203,5,208,203,208,0,0,0,203,0,0,5,1,5.4762,5.4762,4.86351,4.86351,330,5,335,330,335,0,0,0,330,0,0,5,1,5.75606,5.75606,4.86464,4.86464,496,5,501,496,501,0,0,0,496,0,0,5,1,6.21158,6.21158,4.86629,4.86629,594,8,602,594,602,0,0,0,594,0,0,8,1,6.83469,6.83469,4.86823,4.86823,774,11,785,774,785,0,0,0,774,0,0,11,1,7.66939,7.66939,4.8714,4.8714,864,15,879,864,879,0,0,0,864,0,0,15,1,8.69079,8.69079,4.87427,4.87427,1112,16,1128,1112,1128,0,0,0,1112,0,0,16,1,10.082,10.082,4.87843,4.87843,1209,24,1233,1209,1233,0,0,0,1209,0,0,24,1,11.7925,11.7925,4.88346,4.88346,1320,14,1334,1320,1334,0,0,0,1320,0,0,14,1,13.9798,13.9798,4.88915,4.88915,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6486,16.6486,4.8949,4.8949,1613,26,1639,1613,1639,0,0,0,1613,0,0,26,1,19.8548,19.8548,4.90152,4.90152,1658,32,1690,1658,1690,0,0,0,1658,0,0,32,1,23.9068,23.9068,4.90881,4.90881,1846,30,1876,1846,1876,0,0,0,1846,0,0,30,1,28.7944,28.7944,4.91674,4.91674,2009,31,2040,2009,2040,0,0,0,2009,0,0,31,1,34.9948,34.9948,4.92472,4.92472,2113,35,2148,2113,2148,0,0,0,2113,0,0,35,1,42.6413,42.6413,4.93446,4.93446,2291,41,2332,2291,2332,0,0,0,2291,0,0,41,1,51.9515,51.9515,4.94373,4.94373,2333,43,2376,2333,2376,0,0,0,2333,0,0,43,1,62.956,62.956,4.95396,4.95396,2563,51,2614,2563,2614,0,0,0,2563,0,0,51,1,77.5173,77.5173,4.96389,4.96389,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2706,94.2706,4.97634,4.97634
-2.29167,55,3300,63,2,65,63,65,0,0,0,63,0,0,2,1,5.35457,5.35457,4.72058,4.72058,203,5,208,203,208,0,0,0,203,0,0,5,1,5.48166,5.48166,4.72042,4.72042,330,5,335,330,335,0,0,0,330,0,0,5,1,5.76181,5.76181,4.72152,4.72152,496,5,501,496,501,0,0,0,496,0,0,5,1,6.2178,6.2178,4.72312,4.72312,593,9,602,593,602,0,0,0,593,0,0,9,1,6.84117,6.84117,4.725,4.725,774,11,785,774,785,0,0,0,774,0,0,11,1,7.67627,7.67627,4.72808,4.72808,864,15,879,864,879,0,0,0,864,0,0,15,1,8.69843,8.69843,4.73086,4.73086,1112,16,1128,1112,1128,0,0,0,1112,0,0,16,1,10.0905,10.0905,4.7349,4.7349,1209,24,1233,1209,1233,0,0,0,1209,0,0,24,1,11.802,11.802,4.73978,4.73978,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,13.9904,13.9904,4.74531,4.74531,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.66,16.66,4.75088,4.75088,1611,28,1639,1611,1639,0,0,0,1611,0,0,28,1,19.8671,19.8671,4.7573,4.7573,1658,32,1690,1658,1690,0,0,0,1658,0,0,32,1,23.9199,23.9199,4.76438,4.76438,1845,31,1876,1845,1876,0,0,0,1845,0,0,31,1,28.8084,28.8084,4.77207,4.77207,2008,32,2040,2008,2040,0,0,0,2008,0,0,32,1,35.0102,35.0102,4.77981,4.77981,2112,36,2148,2112,2148,0,0,0,2112,0,0,36,1,42.6578,42.6578,4.78927,4.78927,2290,42,2332,2290,2332,0,0,0,2290,0,0,42,1,51.9685,51.9685,4.79825,4.79825,2332,44,2376,2332,2376,0,0,0,2332,0,0,44,1,62.9744,62.9744,4.80819,4.80819,2559,55,2614,2559,2614,0,0,0,2559,0,0,55,1,77.5335,77.5335,4.81782,4.81782,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2821,94.2821,4.8299,4.8299
-2.33333,56,3360,63,2,65,63,65,0,0,0,63,0,0,2,1,5.36326,5.36326,4.58174,4.58174,203,5,208,203,208,0,0,0,203,0,0,5,1,5.49064,5.49064,4.58157,4.58157,330,5,335,330,335,0,0,0,330,0,0,5,1,5.77114,5.77114,4.58264,4.58264,496,5,501,496,501,0,0,0,496,0,0,5,1,6.22767,6.22767,4.5842,4.5842,592,10,602,592,602,0,0,0,592,0,0,10,1,6.85216,6.85216,4.58603,4.58603,772,13,785,772,785,0,0,0,772,0,0,13,1,7.68789,7.68789,4.58902,4.58902,863,16,879,863,879,0,0,0,863,0,0,16,1,8.71051,8.71051,4.59171,4.59171,1110,18,1128,1110,1128,0,0,0,1110,0,0,18,1,10.103,10.103,4.59564,4.59564,1207,26,1233,1207,1233,0,0,0,1207,0,0,26,1,11.8141,11.8141,4.60037,4.60037,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,14.0021,14.0021,4.60573,4.60573,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6721,16.6721,4.61113,4.61113,1611,28,1639,1611,1639,0,0,0,1611,0,0,28,1,19.8802,19.8802,4.61736,4.61736,1656,34,1690,1656,1690,0,0,0,1656,0,0,34,1,23.9339,23.9339,4.62422,4.62422,1843,33,1876,1843,1876,0,0,0,1843,0,0,33,1,28.825,28.825,4.63169,4.63169,2007,33,2040,2007,2040,0,0,0,2007,0,0,33,1,35.0276,35.0276,4.63919,4.63919,2111,37,2148,2111,2148,0,0,0,2111,0,0,37,1,42.6746,42.6746,4.64837,4.64837,2288,44,2332,2288,2332,0,0,0,2288,0,0,44,1,51.9835,51.9835,4.65709,4.65709,2331,45,2376,2331,2376,0,0,0,2331,0,0,45,1,62.9884,62.9884,4.66672,4.66672,2557,57,2614,2557,2614,0,0,0,2557,0,0,57,1,77.5454,77.5454,4.67606,4.67606,2630,41,2671,2630,2671,0,0,0,2630,0,0,41,1,94.2926,94.2926,4.68779,4.68779
-2.375,57,3420,63,2,65,63,65,0,0,0,63,0,0,2,1,5.37113,5.37113,4.44703,4.44703,203,5,208,203,208,0,0,0,203,0,0,5,1,5.49815,5.49815,4.44685,4.44685,330,5,335,330,335,0,0,0,330,0,0,5,1,5.77926,5.77926,4.44789,4.44789,496,5,501,496,501,0,0,0,496,0,0,5,1,6.2366,6.2366,4.44941,4.44941,591,11,602,591,602,0,0,0,591,0,0,11,1,6.86151,6.86151,4.45117,4.45117,772,13,785,772,785,0,0,0,772,0,0,13,1,7.69808,7.69808,4.45408,4.45408,862,17,879,862,879,0,0,0,862,0,0,17,1,8.72135,8.72135,4.45669,4.45669,1109,19,1128,1109,1128,0,0,0,1109,0,0,19,1,10.1151,10.1151,4.46051,4.46051,1204,29,1233,1204,1233,0,0,0,1204,0,0,29,1,11.8278,11.8278,4.46509,4.46509,1319,15,1334,1319,1334,0,0,0,1319,0,0,15,1,14.017,14.017,4.47029,4.47029,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.6887,16.6887,4.47552,4.47552,1610,29,1639,1610,1639,0,0,0,1610,0,0,29,1,19.8989,19.8989,4.48156,4.48156,1655,35,1690,1655,1690,0,0,0,1655,0,0,35,1,23.9553,23.9553,4.48822,4.48822,1843,33,1876,1843,1876,0,0,0,1843,0,0,33,1,28.8487,28.8487,4.49547,4.49547,2006,34,2040,2006,2040,0,0,0,2006,0,0,34,1,35.0541,35.0541,4.50274,4.50274,2109,39,2148,2109,2148,0,0,0,2109,0,0,39,1,42.7049,42.7049,4.51166,4.51166,2284,48,2332,2284,2332,0,0,0,2284,0,0,48,1,52.015,52.015,4.52011,4.52011,2329,47,2376,2329,2376,0,0,0,2329,0,0,47,1,63.0187,63.0187,4.52946,4.52946,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.5727,77.5727,4.53851,4.53851,2628,43,2671,2628,2671,0,0,0,2628,0,0,43,1,94.3137,94.3137,4.5499,4.5499
-2.41667,58,3480,63,2,65,63,65,0,0,0,63,0,0,2,1,5.38819,5.38819,4.31638,4.31638,202,6,208,202,208,0,0,0,202,0,0,6,1,5.51486,5.51486,4.31618,4.31618,329,6,335,329,335,0,0,0,329,0,0,6,1,5.79583,5.79583,4.31718,4.31718,495,6,501,495,501,0,0,0,495,0,0,6,1,6.25292,6.25292,4.31865,4.31865,590,12,602,590,602,0,0,0,590,0,0,12,1,6.87792,6.87792,4.32035,4.32035,771,14,785,771,785,0,0,0,771,0,0,14,1,7.71441,7.71441,4.32317,4.32317,862,17,879,862,879,0,0,0,862,0,0,17,1,8.73802,8.73802,4.32568,4.32568,1107,21,1128,1107,1128,0,0,0,1107,0,0,21,1,10.1335,10.1335,4.3294,4.3294,1203,30,1233,1203,1233,0,0,0,1203,0,0,30,1,11.8468,11.8468,4.33384,4.33384,1318,16,1334,1318,1334,0,0,0,1318,0,0,16,1,14.0372,14.0372,4.33889,4.33889,1526,18,1544,1526,1544,0,0,0,1526,0,0,18,1,16.7094,16.7094,4.34396,4.34396,1609,30,1639,1609,1639,0,0,0,1609,0,0,30,1,19.9217,19.9217,4.34981,4.34981,1652,38,1690,1652,1690,0,0,0,1652,0,0,38,1,23.9811,23.9811,4.35628,4.35628,1838,38,1876,1838,1876,0,0,0,1838,0,0,38,1,28.8772,28.8772,4.36331,4.36331,2004,36,2040,2004,2040,0,0,0,2004,0,0,36,1,35.08,35.08,4.37035,4.37035,2106,42,2148,2106,2148,0,0,0,2106,0,0,42,1,42.7299,42.7299,4.37901,4.37901,2282,50,2332,2282,2332,0,0,0,2282,0,0,50,1,52.0373,52.0373,4.3872,4.3872,2327,49,2376,2327,2376,0,0,0,2327,0,0,49,1,63.0407,63.0407,4.39626,4.39626,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.5903,77.5903,4.40504,4.40504,2627,44,2671,2627,2671,0,0,0,2627,0,0,44,1,94.3274,94.3274,4.41609,4.41609
-2.45833,59,3540,63,2,65,63,65,0,0,0,63,0,0,2,1,5.40149,5.40149,4.18961,4.18961,201,7,208,201,208,0,0,0,201,0,0,7,1,5.52855,5.52855,4.1894,4.1894,329,6,335,329,335,0,0,0,329,0,0,6,1,5.81006,5.81006,4.19038,4.19038,494,7,501,494,501,0,0,0,494,0,0,7,1,6.26758,6.26758,4.19179,4.19179,589,13,602,589,602,0,0,0,589,0,0,13,1,6.89281,6.89281,4.19343,4.19343,771,14,785,771,785,0,0,0,771,0,0,14,1,7.73026,7.73026,4.19617,4.19617,862,17,879,862,879,0,0,0,862,0,0,17,1,8.75574,8.75574,4.1986,4.1986,1105,23,1128,1105,1128,0,0,0,1105,0,0,23,1,10.1536,10.1536,4.20222,4.20222,1202,31,1233,1202,1233,0,0,0,1202,0,0,31,1,11.8687,11.8687,4.20652,4.20652,1313,21,1334,1313,1334,0,0,0,1313,0,0,21,1,14.061,14.061,4.21141,4.21141,1523,21,1544,1523,1544,0,0,0,1523,0,0,21,1,16.7352,16.7352,4.21632,4.21632,1608,31,1639,1608,1639,0,0,0,1608,0,0,31,1,19.9466,19.9466,4.22199,4.22199,1652,38,1690,1652,1690,0,0,0,1652,0,0,38,1,24.0075,24.0075,4.22826,4.22826,1835,41,1876,1835,1876,0,0,0,1835,0,0,41,1,28.9041,28.9041,4.23509,4.23509,2003,37,2040,2003,2040,0,0,0,2003,0,0,37,1,35.1067,35.1067,4.2419,4.2419,2104,44,2148,2104,2148,0,0,0,2104,0,0,44,1,42.7578,42.7578,4.2503,4.2503,2278,54,2332,2278,2332,0,0,0,2278,0,0,54,1,52.0654,52.0654,4.25824,4.25824,2326,50,2376,2326,2376,0,0,0,2326,0,0,50,1,63.0646,63.0646,4.26702,4.26702,2554,60,2614,2554,2614,0,0,0,2554,0,0,60,1,77.61,77.61,4.27553,4.27553,2625,46,2671,2625,2671,0,0,0,2625,0,0,46,1,94.3446,94.3446,4.28625,4.28625
-2.5,60,3600,62,3,65,62,65,0,0,0,62,0,0,3,1,5.42119,5.42119,4.06662,4.06662,201,7,208,201,208,0,0,0,201,0,0,7,1,5.5461,5.5461,4.06639,4.06639,329,6,335,329,335,0,0,0,329,0,0,6,1,5.82766,5.82766,4.06733,4.06733,494,7,501,494,501,0,0,0,494,0,0,7,1,6.28552,6.28552,4.0687,4.0687,589,13,602,589,602,0,0,0,589,0,0,13,1,6.91163,6.91163,4.07028,4.07028,770,15,785,770,785,0,0,0,770,0,0,15,1,7.75074,7.75074,4.07294,4.07294,862,17,879,862,879,0,0,0,862,0,0,17,1,8.77811,8.77811,4.0753,4.0753,1103,25,1128,1103,1128,0,0,0,1103,0,0,25,1,10.1792,10.1792,4.07882,4.07882,1202,31,1233,1202,1233,0,0,0,1202,0,0,31,1,11.8969,11.8969,4.08299,4.08299,1311,23,1334,1311,1334,0,0,0,1311,0,0,23,1,14.0925,14.0925,4.08775,4.08775,1521,23,1544,1521,1544,0,0,0,1521,0,0,23,1,16.7705,16.7705,4.09251,4.09251,1602,37,1639,1602,1639,0,0,0,1602,0,0,37,1,19.9861,19.9861,4.098,4.098,1649,41,1690,1649,1690,0,0,0,1649,0,0,41,1,24.05,24.05,4.10408,4.10408,1834,42,1876,1834,1876,0,0,0,1834,0,0,42,1,28.9494,28.9494,4.11069,4.11069,1999,41,2040,1999,2040,0,0,0,1999,0,0,41,1,35.1566,35.1566,4.11729,4.11729,2098,50,2148,2098,2148,0,0,0,2098,0,0,50,1,42.8093,42.8093,4.12544,4.12544,2271,61,2332,2271,2332,0,0,0,2271,0,0,61,1,52.1156,52.1156,4.13313,4.13313,2323,53,2376,2323,2376,0,0,0,2323,0,0,53,1,63.1113,63.1113,4.14164,4.14164,2553,61,2614,2553,2614,0,0,0,2553,0,0,61,1,77.6498,77.6498,4.14988,4.14988,2620,51,2671,2620,2671,0,0,0,2620,0,0,51,1,94.3801,94.3801,4.16028,4.16028
-2.54167,61,3660,62,3,65,62,65,0,0,0,62,0,0,3,1,5.43821,5.43821,3.94729,3.94729,201,7,208,201,208,0,0,0,201,0,0,7,1,5.56339,5.56339,3.94704,3.94704,328,7,335,328,335,0,0,0,328,0,0,7,1,5.84523,5.84523,3.94796,3.94796,494,7,501,494,501,0,0,0,494,0,0,7,1,6.30351,6.30351,3.94928,3.94928,589,13,602,589,602,0,0,0,589,0,0,13,1,6.93088,6.93088,3.9508,3.9508,770,15,785,770,785,0,0,0,770,0,0,15,1,7.772,7.772,3.95339,3.95339,860,19,879,860,879,0,0,0,860,0,0,19,1,8.80173,8.80173,3.95568,3.95568,1103,25,1128,1103,1128,0,0,0,1103,0,0,25,1,10.2062,10.2062,3.95911,3.95911,1196,37,1233,1196,1233,0,0,0,1196,0,0,37,1,11.9267,11.9267,3.96316,3.96316,1308,26,1334,1308,1334,0,0,0,1308,0,0,26,1,14.1244,14.1244,3.96777,3.96777,1517,27,1544,1517,1544,0,0,0,1517,0,0,27,1,16.8044,16.8044,3.97238,3.97238,1600,39,1639,1600,1639,0,0,0,1600,0,0,39,1,20.0214,20.0214,3.97769,3.97769,1648,42,1690,1648,1690,0,0,0,1648,0,0,42,1,24.0871,24.0871,3.98359,3.98359,1832,44,1876,1832,1876,0,0,0,1832,0,0,44,1,28.9903,28.9903,3.99001,3.99001,1997,43,2040,1997,2040,0,0,0,1997,0,0,43,1,35.2009,35.2009,3.99641,3.99641,2092,56,2148,2092,2148,0,0,0,2092,0,0,56,1,42.8575,42.8575,4.00431,4.00431,2269,63,2332,2269,2332,0,0,0,2269,0,0,63,1,52.164,52.164,4.01177,4.01177,2322,54,2376,2322,2376,0,0,0,2322,0,0,54,1,63.1578,63.1578,4.02002,4.02002,2550,64,2614,2550,2614,0,0,0,2550,0,0,64,1,77.6967,77.6967,4.028,4.028,2614,57,2671,2614,2671,0,0,0,2614,0,0,57,1,94.4202,94.4202,4.03809,4.03809
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diff --git a/draft/execution_seed_9/final_data.csv b/draft/execution_seed_9/final_data.csv
deleted file mode 100644
index 68c1cbe..0000000
--- a/draft/execution_seed_9/final_data.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,tumor_radius,num_cells,num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells
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-0.625,15,900,2999.96,28000,28000,0,27874,0,0,126,0,0,1,39.3295,39.3295,15.8115,15.8115
-0.666667,16,960,2999.96,28000,28000,0,27868,0,0,132,0,0,1,39.3339,39.3339,15.3444,15.3444
-0.708333,17,1020,2999.96,28000,28000,0,27863,0,0,137,0,0,1,39.3398,39.3398,14.8911,14.8911
-0.75,18,1080,2999.96,28000,28000,0,27854,0,0,146,0,0,1,39.3466,39.3466,14.4513,14.4513
-0.791667,19,1140,2999.96,28000,28000,0,27839,0,0,161,0,0,1,39.3586,39.3586,14.0246,14.0246
-0.833333,20,1200,2999.96,28000,28000,0,27828,0,0,172,0,0,1,39.3708,39.3708,13.6105,13.6105
-0.875,21,1260,2999.96,28000,28000,0,27823,0,0,177,0,0,1,39.3773,39.3773,13.2086,13.2086
-0.916667,22,1320,2999.96,28000,28000,0,27817,0,0,183,0,0,1,39.382,39.382,12.8188,12.8188
-0.958333,23,1380,2999.96,28000,28000,0,27807,0,0,193,0,0,1,39.3925,39.3925,12.4404,12.4404
-1,24,1440,2999.96,28000,28000,0,27802,0,0,198,0,0,1,39.3962,39.3962,12.0732,12.0732
-1.04167,25,1500,2999.96,28000,28000,0,27790,0,0,210,0,0,1,39.4071,39.4071,11.7169,11.7169
-1.08333,26,1560,2999.96,28000,28000,0,27772,0,0,228,0,0,1,39.4248,39.4248,11.3711,11.3711
-1.125,27,1620,2999.96,28000,28000,0,27767,0,0,233,0,0,1,39.429,39.429,11.0356,11.0356
-1.16667,28,1680,2999.96,28000,28000,0,27750,0,0,250,0,0,1,39.447,39.447,10.7101,10.7101
-1.20833,29,1740,2999.96,28000,28000,0,27741,0,0,259,0,0,1,39.4542,39.4542,10.3942,10.3942
-1.25,30,1800,2999.96,28000,28000,0,27732,0,0,268,0,0,1,39.4616,39.4616,10.0877,10.0877
-1.29167,31,1860,2999.96,28000,28000,0,27725,0,0,275,0,0,1,39.4683,39.4683,9.7902,9.7902
-1.33333,32,1920,2999.96,28000,28000,0,27718,0,0,282,0,0,1,39.4728,39.4728,9.50152,9.50152
-1.375,33,1980,2999.96,28000,28000,0,27711,0,0,289,0,0,1,39.4765,39.4765,9.22137,9.22137
-1.41667,34,2040,2999.96,28000,28000,0,27709,0,0,291,0,0,1,39.4783,39.4783,8.9495,8.9495
-1.45833,35,2100,2999.96,28000,28000,0,27698,0,0,302,0,0,1,39.4858,39.4858,8.68566,8.68566
-1.5,36,2160,2999.96,28000,28000,0,27695,0,0,305,0,0,1,39.4907,39.4907,8.42962,8.42962
-1.54167,37,2220,2999.96,28000,28000,0,27688,0,0,312,0,0,1,39.4992,39.4992,8.18114,8.18114
-1.58333,38,2280,2999.96,28000,28000,0,27684,0,0,316,0,0,1,39.5033,39.5033,7.94,7.94
-1.625,39,2340,2999.96,28000,28000,0,27676,0,0,324,0,0,1,39.5098,39.5098,7.70599,7.70599
-1.66667,40,2400,2999.96,28000,28000,0,27669,0,0,331,0,0,1,39.5163,39.5163,7.47888,7.47888
-1.70833,41,2460,2999.96,28000,28000,0,27659,0,0,341,0,0,1,39.5275,39.5275,7.2585,7.2585
-1.75,42,2520,2999.96,28000,28000,0,27647,0,0,353,0,0,1,39.5384,39.5384,7.04464,7.04464
-1.79167,43,2580,2999.96,28000,28000,0,27635,0,0,365,0,0,1,39.5488,39.5488,6.83712,6.83712
-1.83333,44,2640,2999.96,28000,28000,0,27629,0,0,371,0,0,1,39.5549,39.5549,6.63572,6.63572
-1.875,45,2700,2999.96,28000,28000,0,27620,0,0,380,0,0,1,39.566,39.566,6.44028,6.44028
-1.91667,46,2760,2999.96,28000,28000,0,27609,0,0,391,0,0,1,39.5731,39.5731,6.2506,6.2506
-1.95833,47,2820,2999.96,28000,28000,0,27604,0,0,396,0,0,1,39.5809,39.5809,6.06654,6.06654
-2,48,2880,2999.96,28000,28000,0,27600,0,0,400,0,0,1,39.5856,39.5856,5.8879,5.8879
-2.04167,49,2940,2999.96,28000,28000,0,27591,0,0,409,0,0,1,39.5914,39.5914,5.71454,5.71454
-2.08333,50,3000,2999.96,28000,28000,0,27582,0,0,418,0,0,1,39.6001,39.6001,5.5463,5.5463
-2.125,51,3060,2999.96,28000,28000,0,27576,0,0,424,0,0,1,39.6062,39.6062,5.38303,5.38303
-2.16667,52,3120,2999.96,28000,28000,0,27565,0,0,435,0,0,1,39.6159,39.6159,5.22458,5.22458
-2.20833,53,3180,2999.96,28000,28000,0,27559,0,0,441,0,0,1,39.6218,39.6218,5.07081,5.07081
-2.25,54,3240,2999.96,28000,28000,0,27547,0,0,453,0,0,1,39.6312,39.6312,4.92159,4.92159
-2.29167,55,3300,2999.96,28000,28000,0,27534,0,0,466,0,0,1,39.6444,39.6444,4.77677,4.77677
-2.33333,56,3360,2999.96,28000,28000,0,27515,0,0,485,0,0,1,39.6578,39.6578,4.63625,4.63625
-2.375,57,3420,2999.96,28000,28000,0,27493,0,0,507,0,0,1,39.6797,39.6797,4.49989,4.49989
-2.41667,58,3480,2999.96,28000,28000,0,27465,0,0,535,0,0,1,39.7006,39.7006,4.36759,4.36759
-2.45833,59,3540,2999.96,28000,28000,0,27437,0,0,563,0,0,1,39.7236,39.7236,4.23923,4.23923
-2.5,60,3600,2999.96,28000,28000,0,27393,0,0,607,0,0,1,39.7625,39.7625,4.11471,4.11471
-2.54167,61,3660,2999.96,28000,28000,0,27352,0,0,648,0,0,1,39.8009,39.8009,3.9939,3.9939
-2.58333,62,3720,2999.96,28000,28000,0,27318,0,0,682,0,0,1,39.8334,39.8334,3.87669,3.87669
-2.625,63,3780,2999.96,28000,28000,0,27270,0,0,730,0,0,1,39.8781,39.8781,3.76298,3.76298
-2.66667,64,3840,2999.96,28000,28000,0,27213,0,0,787,0,0,1,39.9247,39.9247,3.65266,3.65266
-2.70833,65,3900,2999.96,28000,28000,0,27151,0,0,849,0,0,1,39.9817,39.9817,3.54567,3.54567
-2.75,66,3960,2999.96,28000,28000,0,27094,0,0,906,0,0,1,40.0313,40.0313,3.44189,3.44189
-2.79167,67,4020,2999.96,28000,28000,0,27038,0,0,962,0,0,1,40.0913,40.0913,3.34123,3.34123
-2.83333,68,4080,2999.96,28000,28000,0,26975,0,0,1025,0,0,1,40.1407,40.1407,3.24357,3.24357
-2.875,69,4140,2999.96,28000,28000,0,26917,0,0,1083,0,0,1,40.1945,40.1945,3.14883,3.14883
-2.91667,70,4200,2999.96,28000,28000,0,26841,0,0,1159,0,0,1,40.2591,40.2591,3.05694,3.05694
-2.95833,71,4260,2999.96,28000,28000,0,26759,0,0,1241,0,0,1,40.3333,40.3333,2.96783,2.96783
-3,72,4320,2999.96,28000,28000,0,26687,0,0,1313,0,0,1,40.4014,40.4014,2.88139,2.88139
diff --git a/params.json b/params.json
index 9107add..28399ce 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 37,
+  "seed": 955,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -17,7 +17,9 @@
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 331.768,
   "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 67.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
@@ -30,10 +32,8 @@
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 49,
+  "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
-  "glucose_saturation_for_proliferation": 25,
-  "default_glucose_consumption_tumor_cell": 0.045,
   "decay_constant_glucose": 0.0005,
   "oxygen_saturation_for_proliferation": 0,
   "oxygen_limit_for_proliferation": 0,
@@ -41,7 +41,7 @@
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000047,
+  "basal_necrosis_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -49,10 +49,14 @@
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_proliferation": 0,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "default_glucose_consumption_cart": 0.045,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_necrosis": 5,
   "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+  "maximum_necrosis_lack_of_glucose_rate": 0.0001,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "dt_substances": 4320
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 6c8f418..490ed73 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -48,7 +48,7 @@ CarTCell::CarTCell(const Real3& position) {
   SetPosition(position);
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
-  SetVolume(sparams->default_volume_new_cart_cell);
+  SetVolume(SamplePositiveGaussian(sparams->default_volume_new_cart_cell,sparams->std_volume_new_cart_cell));
   const ResourceManager& rm = *sim->GetResourceManager();
   oxygen_dgrid_ = rm.GetDiffusionGrid("oxygen");
   immunostimulatory_factor_dgrid_ = sparams->add_immunostimulatory_factor
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 78ee3ba..faff80f 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -47,7 +47,7 @@ TumorCell::TumorCell(const Real3& position) {
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volumes
   // Set default volume
-  SetVolume(sparams->default_volume_new_tumor_cell);
+  SetVolume(SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,sparams->std_volume_new_tumor_cell));
   // Set default fluid fraction
   SetFluidFraction(sparams->default_fraction_fluid_tumor_cell);
   // Set default nuclear volume
@@ -577,10 +577,31 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
 
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volume change
-  cell->ChangeVolumeExponentialRelaxationEquation(
-      sparams->volume_relaxation_rate_alive_tumor_cell_cytoplasm,
-      sparams->volume_relaxation_rate_alive_tumor_cell_nucleus,
-      sparams->volume_relaxation_rate_alive_tumor_cell_fluid);
+  // If this tumoral cell is already bigger than the target volume, the volume does not change since it is already big enough to divide and it should not shrink
+  if(cell->GetVolume() < cell->GetTargetTotalVolume()) {
+    // If there is a glucose diffusion grid defined it affects the speed of growth of the cell
+    // Initialize multiplier
+    real_t multiplier_glucose = 1.0;
+    if(cell->IsGlucoseDefined()) {
+      //if there is a definde glucose gradient in the simulation
+      // glucose threshold for considering an effect on the growth speed
+      if (glucose_level < sparams->glucose_saturation_for_tumor_cell_growth) {
+        multiplier_glucose = (glucose_level - sparams->glucose_limit_for_tumor_cell_growth) /
+                    (sparams->glucose_saturation_for_tumor_cell_growth -
+                      sparams->glucose_limit_for_tumor_cell_growth);
+      }
+      // If glucose is below the limit, set multiplier to 0
+      if (glucose_level < sparams->glucose_limit_for_tumor_cell_growth) {
+        multiplier_glucose = 0.0;
+      }
+    }
+    //change volume change speed depending on the vailable glucose. This also affects ploriferation because if the cells do not grow big enough they cannot divide
+    cell->ChangeVolumeExponentialRelaxationEquation(
+        sparams->volume_relaxation_rate_alive_tumor_cell_cytoplasm * multiplier_glucose,
+        sparams->volume_relaxation_rate_alive_tumor_cell_nucleus * multiplier_glucose,
+        sparams->volume_relaxation_rate_alive_tumor_cell_fluid * multiplier_glucose);
+  }
+
   // cell state control
   // The division rate depends on the available resources
   // Oxygen
@@ -596,25 +617,15 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
   if (oxygen_level < sparams->oxygen_limit_for_proliferation) {
     multiplier_oxygen = 0.0;
   }
-  // Glucose, only if a glucose gradient is defined in the simulation
-  // Initialize multiplier
-  real_t multiplier_glucose = 1.0;
-  if(cell->IsGlucoseDefined()) {
-    // glucose threshold for considering an effect on the proliferation cycle
-    if (glucose_level < sparams->glucose_saturation_for_proliferation) {
-      multiplier_glucose = (glucose_level - sparams->glucose_limit_for_proliferation) /
-                  (sparams->glucose_saturation_for_proliferation -
-                    sparams->glucose_limit_for_proliferation);
-    }
-    // If glucose is below the limit, set multiplier to 0
-    if (glucose_level < sparams->glucose_limit_for_proliferation) {
-      multiplier_glucose = 0.0;
-    }
-  }
-  // Calculate the rate of state change based on oxygen level, glucose level and oncoprotein
+  // Calculate the rate of state change based on oxygen level and oncoprotein
   // (min^-1)
-  const real_t final_rate_transition = cell->GetTransformationRandomRate() *
-                                       multiplier_oxygen * multiplier_glucose * cell->GetOncoproteinLevel();
+  real_t final_rate_transition = cell->GetTransformationRandomRate() *
+                                       multiplier_oxygen * cell->GetOncoproteinLevel();
+
+  // Check the dimensions of the cell, if it is too small, it cannot divide: it needs to grow more before dividing
+  if(cell->GetVolume() < cell->GetTargetTotalVolume()*sparams->minimum_tumor_cell_target_volume_fraction_for_division) {
+    final_rate_transition=0;
+  }
 
   // Calculate the time to wait (in minutes)
   real_t time_to_wait = kTimeTooLarge;
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index fbbf062..23d016a 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -249,9 +249,9 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("oxygen_saturation_for_proliferation",
               oxygen_saturation_for_proliferation);
   load_double("oxygen_limit_for_proliferation", oxygen_limit_for_proliferation);
-  load_double("glucose_saturation_for_proliferation",
-              glucose_saturation_for_proliferation);
-  load_double("glucose_limit_for_proliferation", glucose_limit_for_proliferation);
+  load_double("glucose_saturation_for_tumor_cell_growth",
+              glucose_saturation_for_tumor_cell_growth);
+  load_double("glucose_limit_for_tumor_cell_growth", glucose_limit_for_tumor_cell_growth);
   load_double("oxygen_limit_for_necrosis", oxygen_limit_for_necrosis);
   load_double("oxygen_limit_for_necrosis_maximum",
               oxygen_limit_for_necrosis_maximum);
@@ -271,6 +271,7 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("default_glucose_consumption_tumor_cell",
               default_glucose_consumption_tumor_cell);
   load_double("default_volume_new_tumor_cell", default_volume_new_tumor_cell);
+  load_double("std_volume_new_tumor_cell", std_volume_new_tumor_cell);
   load_double("default_volume_nucleus_tumor_cell",
               default_volume_nucleus_tumor_cell);
   load_double("default_fraction_fluid_tumor_cell",
@@ -279,6 +280,9 @@ void SimParam::LoadParams(const std::string& filename) {
               average_time_transformation_random_rate);
   load_double("standard_deviation_transformation_random_rate",
               standard_deviation_transformation_random_rate);
+  load_double("minimum_tumor_cell_target_volume_fraction_for_division",
+              minimum_tumor_cell_target_volume_fraction_for_division);
+  
   load_double("adhesion_time", adhesion_time);
   load_double("oncoprotein_limit", oncoprotein_limit);
   load_double("oncoprotein_saturation", oncoprotein_saturation);
@@ -326,6 +330,7 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("default_glucose_consumption_cart",
               default_glucose_consumption_cart);
   load_double("default_volume_new_cart_cell", default_volume_new_cart_cell);
+  load_double("std_volume_new_cart_cell", std_volume_new_cart_cell);
   load_double("kill_rate_cart", kill_rate_cart);
   load_double("adhesion_rate_cart", adhesion_rate_cart);
   load_double("max_adhesion_distance_cart", max_adhesion_distance_cart);
@@ -572,10 +577,10 @@ void SimParam::PrintParams() const {
             << oxygen_saturation_for_proliferation << "\n";
   std::cout << "Limit of oxygen level for tumor cell proliferation: "
             << oxygen_limit_for_proliferation << "\n";
-  std::cout << "Glucose saturation level in tumor cells for proliferation: "  
-            << glucose_saturation_for_proliferation << "\n";
-  std::cout << "Limit of glucose level for tumor cell proliferation: "
-            << glucose_limit_for_proliferation << "\n";
+  std::cout << "Glucose saturation level in tumor cells for growth: "
+            << glucose_saturation_for_tumor_cell_growth << "\n";
+  std::cout << "Limit of glucose level for tumor cell growth: "
+            << glucose_limit_for_tumor_cell_growth << "\n";
   std::cout << "Limit of oxygen to start causing necrosis: "
             << oxygen_limit_for_necrosis << "\n";
   std::cout << "Limit of oxygen to maximum necrosis probability: "
@@ -594,6 +599,8 @@ void SimParam::PrintParams() const {
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new tumor cell (μm³): "
             << default_volume_new_tumor_cell << "\n";
+  std::cout << "Standard deviation of the total volume of a new tumor cell (μm³): "
+            << std_volume_new_tumor_cell << "\n";
   std::cout << "Default volume of the nucleus of a new tumor cell (μm³): "
             << default_volume_nucleus_tumor_cell << "\n";
   std::cout << "Default fraction of fluid volume in a new tumor cell: "
@@ -604,6 +611,8 @@ void SimParam::PrintParams() const {
             << average_time_transformation_random_rate << "\n";
   std::cout << "Standard Deviation for transformation Random Rate (hours): "
             << standard_deviation_transformation_random_rate << "\n";
+  std::cout << "Minimum tumor cell target volume fraction for division: "
+            << minimum_tumor_cell_target_volume_fraction_for_division << "\n";
   std::cout
       << "Average adhesion time for Tumor Cell under CAR-T attack (minutes): "
       << adhesion_time << "\n";
@@ -669,6 +678,8 @@ void SimParam::PrintParams() const {
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new CAR-T cell (μm³): "
             << default_volume_new_cart_cell << "\n";
+  std::cout << "Standard deviation of the total volume of a new CAR-T cell (μm³): "
+            << std_volume_new_cart_cell << "\n";
 
   std::cout << "\nKilling and adhesion rates:\n";
   std::cout << "How often a CAR-T cell tries to kill an attached cancer cell "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index b8a7a54..7ef54de 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -296,12 +296,12 @@ struct SimParam : public ParamGroup {
   /// Oxygen saturation level in tumor cells for proliferation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_saturation_for_proliferation = 38;
-  /// Glucose saturation level in tumor cells for proliferation
+  /// Glucose saturation level in tumor cells for cell growth: it affects plorifereation since if cells are not big enough they will not divide
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t glucose_saturation_for_proliferation = 0;
-  /// Limit of glucose level for tumor cell proliferation
+  real_t glucose_saturation_for_tumor_cell_growth = 0;
+  /// Limit of glucose level for tumor cell growth: it affects plorifereation since if cells are not big enough they will not divide
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t glucose_limit_for_proliferation = 0;
+  real_t glucose_limit_for_tumor_cell_growth = 0;
   /// Limit of oxygen level for tumor cell proliferation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_limit_for_proliferation = 10;
@@ -341,6 +341,9 @@ struct SimParam : public ParamGroup {
   /// Default total volume of a new tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_volume_new_tumor_cell = 2494;
+  /// Standard deviation of the total volume of a new tumor cell in μm³
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t std_volume_new_tumor_cell = 0;
   /// Default volume of the nucleus of a new tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_volume_nucleus_tumor_cell = 540;
@@ -353,6 +356,9 @@ struct SimParam : public ParamGroup {
   /// Standard Deviation for transformation Random Rate in hours
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t standard_deviation_transformation_random_rate = 3.7;
+  /// Minimum tumor cell volume for division. If the tumor cell volume is below this value times the target volume, it will not divide. This is used to avoid division of tumor cells that are too small due to lack of nutrients.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t minimum_tumor_cell_target_volume_fraction_for_division = 0.0;
   /// Average adhesion time in minutes for Tumor Cell under CAR-T attack before
   /// escaping
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
@@ -421,7 +427,9 @@ struct SimParam : public ParamGroup {
   ///  Default total volume of a new CAR-T cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_volume_new_cart_cell = 2494;
-
+  /// Standard deviation of the total volume of a new CAR-T cell in μm³
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t std_volume_new_cart_cell = 0;
   /// How often a CAR-T cell tries to kill an attached cancer cell in 1/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t kill_rate_cart = 0.06667;

From 5cf074e4c58a9c655e5778175b3f205fdfc0af20 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 10 Aug 2026 00:09:11 +0200
Subject: [PATCH 30/54] new maximum_necrosis_lack_of_glucose_rate after glucose
 fit

---
 .../experiment_70/optuna_results.csv          | 23 +++++++
 abm_calibration/optimize.py                   | 66 ++++++++++---------
 draft/experimentation.py                      |  2 +-
 draft/generatecsv.py                          |  2 +-
 params.json                                   | 15 ++---
 src/agents/tumor_cell.cc                      | 24 ++++++-
 src/utils/utils_aux.cc                        |  1 +
 7 files changed, 89 insertions(+), 44 deletions(-)
 create mode 100644 abm_calibration/experiment_70/optuna_results.csv

diff --git a/abm_calibration/experiment_70/optuna_results.csv b/abm_calibration/experiment_70/optuna_results.csv
new file mode 100644
index 0000000..3e9e0a7
--- /dev/null
+++ b/abm_calibration/experiment_70/optuna_results.csv
@@ -0,0 +1,23 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_glucose_rate,state
+0,20.0,2026-08-09 00:32:23.588370,2026-08-09 01:39:28.666546,0 days 01:07:05.078176,0.00016399999999999997,COMPLETE
+1,375.0,2026-08-09 01:39:28.694855,2026-08-09 02:46:32.136531,0 days 01:07:03.441676,0.000186,COMPLETE
+2,188.0,2026-08-09 02:46:32.161256,2026-08-09 03:53:39.132009,0 days 01:07:06.970753,0.000176,COMPLETE
+3,95.0,2026-08-09 03:53:39.156614,2026-08-09 05:01:03.209146,0 days 01:07:24.052532,0.00017199999999999998,COMPLETE
+4,2.0,2026-08-09 05:01:03.232743,2026-08-09 06:08:04.153246,0 days 01:07:00.920503,0.00015399999999999998,COMPLETE
+5,113.0,2026-08-09 06:08:04.178027,2026-08-09 07:15:42.029151,0 days 01:07:37.851124,0.00015399999999999998,COMPLETE
+6,84.0,2026-08-09 07:15:42.058507,2026-08-09 08:22:18.843449,0 days 01:06:36.784942,0.00015199999999999998,COMPLETE
+7,220.0,2026-08-09 08:22:18.867121,2026-08-09 09:28:50.236617,0 days 01:06:31.369496,0.00018199999999999998,COMPLETE
+8,163.0,2026-08-09 09:28:50.259988,2026-08-09 10:35:31.473444,0 days 01:06:41.213456,0.00017199999999999998,COMPLETE
+9,139.0,2026-08-09 10:35:31.503857,2026-08-09 11:41:52.820550,0 days 01:06:21.316693,0.000176,COMPLETE
+10,48.0,2026-08-09 11:41:52.845385,2026-08-09 12:48:50.231214,0 days 01:06:57.385829,0.00015999999999999999,COMPLETE
+11,22.0,2026-08-09 12:48:50.270390,2026-08-09 13:55:49.598254,0 days 01:06:59.327864,0.00015999999999999999,COMPLETE
+12,122.0,2026-08-09 13:55:49.622005,2026-08-09 15:03:09.791134,0 days 01:07:20.169129,0.00016399999999999997,COMPLETE
+13,53.0,2026-08-09 15:03:09.815276,2026-08-09 16:09:51.889204,0 days 01:06:42.073928,0.00016399999999999997,COMPLETE
+14,35.0,2026-08-09 16:09:51.919202,2026-08-09 17:17:11.223960,0 days 01:07:19.304758,0.00015,COMPLETE
+15,32.0,2026-08-09 17:17:11.248584,2026-08-09 18:24:26.142099,0 days 01:07:14.893515,0.000158,COMPLETE
+16,135.0,2026-08-09 18:24:26.166128,2026-08-09 19:31:15.890872,0 days 01:06:49.724744,0.000166,COMPLETE
+17,17.0,2026-08-09 19:31:15.921486,2026-08-09 20:37:48.446068,0 days 01:06:32.524582,0.000156,COMPLETE
+18,35.0,2026-08-09 20:37:48.475670,2026-08-09 21:44:46.376891,0 days 01:06:57.901221,0.000156,COMPLETE
+19,66.0,2026-08-09 21:44:46.401695,2026-08-09 22:51:47.559424,0 days 01:07:01.157729,0.00015,COMPLETE
+20,9.0,2026-08-09 22:51:47.583070,2026-08-09 23:59:00.216676,0 days 01:07:12.633606,0.000156,COMPLETE
+21,,2026-08-09 23:59:00.246384,,,0.000156,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 43f366d..7538a86 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 50
+EXPERIMENT_ID = 70
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 3
+NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -59,12 +59,12 @@ def run_ABM(params, seed):
     #     "basal_necrosis_probability_cancer_cells"
     # ]
 
-    average_time_transformation_random_rate = params[
-        "average_time_transformation_random_rate"
-    ]
-    default_glucose_consumption_tumor_cell = params[
-        "default_glucose_consumption_tumor_cell"
+    maximum_necrosis_lack_of_glucose_rate = params[
+        "maximum_necrosis_lack_of_glucose_rate"
     ]
+    # default_glucose_consumption_tumor_cell = params[
+    #     "default_glucose_consumption_tumor_cell"
+    # ]
     # maximum_necrosis_lack_of_glucose_rate = params[
     #     "maximum_necrosis_lack_of_glucose_rate"
     # ]
@@ -77,19 +77,21 @@ def run_ABM(params, seed):
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": false,
-  "output_performance_statistics": false,
+  "diffuse_on_z_axis": False,
+  "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
+  "output_information_dependent_on_radius": True,
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 0,
   "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 67.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
@@ -102,10 +104,8 @@ def run_ABM(params, seed):
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 48,
+  "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
-  "glucose_saturation_for_proliferation": 25,
-  "default_glucose_consumption_tumor_cell": 0.045,
   "decay_constant_glucose": 0.0005,
   "oxygen_saturation_for_proliferation": 0,
   "oxygen_limit_for_proliferation": 0,
@@ -113,20 +113,23 @@ def run_ABM(params, seed):
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000047,
+  "basal_necrosis_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": false,
-  "add_glucose": true,
+  "add_immunostimulatory_factor": False,
+  "add_glucose": True,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_proliferation": 0,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "default_glucose_consumption_cart": 0.045,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_necrosis": 5,
   "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+  "maximum_necrosis_lack_of_glucose_rate": maximum_necrosis_lack_of_glucose_rate,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -194,19 +197,19 @@ def compute_error():
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    # dead_cells_4320 = row["tumor_cells_type5_dead"]
-    # dead_cells_4320_target = 2130
-    total_tumor_cells_4320 = row["num_tumor_cells"]
-    target_total_tumor_cells_4320 = 4143.0
-
-    # read value at minute 2880
-    row = df_s[df_s["total_minutes"] == 2880].iloc[0]
-    average_glucose_2880 = row["average_glucose_all_cells"]
-    target_average_glucose_2880 = 5.5
+    dead_cells_4320 = row["tumor_cells_type5_dead"]
+    dead_cells_4320_target = 2130
+    # total_tumor_cells_4320 = row["num_tumor_cells"]
+    # target_total_tumor_cells_4320 = 4143.0
+
+    # # read value at minute 2880
+    # row = df_s[df_s["total_minutes"] == 2880].iloc[0]
+    # average_glucose_2880 = row["average_glucose_all_cells"]
+    # target_average_glucose_2880 = 5.5
     
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(total_tumor_cells_4320 - target_total_tumor_cells_4320) + 10*abs(average_glucose_2880 - target_average_glucose_2880)
+    error_total_tumor_cells = abs(dead_cells_4320 - dead_cells_4320_target)
 
     return float(error_total_tumor_cells)
 
@@ -334,8 +337,7 @@ def objective(trial):
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        "average_time_transformation_random_rate": trial.suggest_float("average_time_transformation_random_rate", 45.2, 46.9, step=0.05),
-        "default_glucose_consumption_tumor_cell": trial.suggest_float("default_glucose_consumption_tumor_cell", 0.3, 0.5, step=0.02),
+        "maximum_necrosis_lack_of_glucose_rate": trial.suggest_float("maximum_necrosis_lack_of_glucose_rate", 0.00015, 0.000186, step=0.000002),
         # "maximum_necrosis_lack_of_glucose_rate": trial.suggest_float("maximum_necrosis_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
     }
 
diff --git a/draft/experimentation.py b/draft/experimentation.py
index 68eda30..a7bd8eb 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -32,7 +32,7 @@
 PARAMS_PATH = BASE_DIR / "params.json"
 
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
-NUMBER_EXECUTIONS = 10
+NUMBER_EXECUTIONS = 70
 
 SIM_DIR = BASE_DIR / "output"        # folder where the ABM writes its results
 DRAFT_DIR = BASE_DIR / "draft"       # base destination folder
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index fea3547..4d39ad7 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 50
+EXPERIMENT_ID = 70
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/params.json b/params.json
index 28399ce..39b1468 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 955,
+  "seed": 8666,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -17,7 +17,7 @@
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 331.768,
+  "std_volume_new_tumor_cell": 0,
   "default_volume_new_cart_cell": 269.0,
   "std_volume_new_cart_cell": 67.25,
   "oncoprotein_mean": 1.0,
@@ -39,9 +39,9 @@
   "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.000005,
+  "basal_necrosis_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -49,14 +49,13 @@
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
+  "max_radius_glucose_initialization": 3100.0,
   "default_glucose_consumption_tumor_cell": 0.045,
   "default_glucose_consumption_cart": 0.045,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_necrosis": 5,
   "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.0001,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "dt_substances": 4320
+  "maximum_necrosis_lack_of_glucose_rate": 0.000156,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
\ No newline at end of file
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index faff80f..b7a135c 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -48,10 +48,15 @@ TumorCell::TumorCell(const Real3& position) {
   // volumes
   // Set default volume
   SetVolume(SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,sparams->std_volume_new_tumor_cell));
+  if(GetVolume() == 0.0){//Debug
+    std::cout << "TumorCell::TumorCell: Volume is zero, setting to default volume" << std::endl;
+    SetVolume(5);
+  }
   // Set default fluid fraction
   SetFluidFraction(sparams->default_fraction_fluid_tumor_cell);
   // Set default nuclear volume
-  SetNuclearVolume(sparams->default_volume_nucleus_tumor_cell);
+  // SetNuclearVolume(sparams->default_volume_nucleus_tumor_cell);//Debug
+  SetNuclearVolume(0.216*sparams->default_volume_new_tumor_cell);
   // target volumes
   // Set target fraction of fluid
   SetTargetFractionFluid(sparams->default_fraction_fluid_tumor_cell);
@@ -80,7 +85,7 @@ TumorCell::TumorCell(const Real3& position) {
         ? rm->GetDiffusionGrid("immunostimulatory_factor")
         : nullptr;
   glucose_dgrid_ = sparams->add_glucose
-        ? rm->GetDiffusionGrid("glucose")//Debug
+        ? rm->GetDiffusionGrid("glucose")
         : nullptr;
   // Set state transition random rate
   SetTransformationRandomRate();
@@ -261,6 +266,21 @@ void TumorCell::ChangeVolumeExponentialRelaxationEquation(
 
   const real_t new_volume = new_total_solid + new_fluid;
 
+//Debug
+if (std::isnan(total_nuclear)) {
+    std::cout << "new_volume is NaN"
+              << " | new_total_solid: " << new_total_solid
+              << " | nuclear_solid: " << nuclear_solid
+              << " | cytoplasm_solid: " << cytoplasm_solid
+              << " | current_cytoplasm_solid: " << current_cytoplasm_solid
+              << " | target_cytoplasm_solid: " << target_cytoplasm_solid
+              << " | nuclear_volume: " << nuclear_volume
+              << " | new_fluid: " << new_fluid
+              << " | current_volume: " << GetVolume()
+              << " | target_volume: " << GetTargetTotalVolume()
+              << std::endl;
+}
+
   // Avoid division by zero
   const real_t new_fraction_fluid = new_fluid / (kEpsilon + new_volume);
 
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 8db86e1..f33cd5f 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -248,6 +248,7 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       (total_num_tumor_cells > 0)
           ? (acumulator_oxygen_cancer_cells / total_num_tumor_cells)
           : 0.0;
+          
   const real_t average_oxygen_all_cells =
       (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0)
           ? (acumulator_oxygen_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))

From 68982864e9cb25693b0a7c64daa20a8d45014e6f Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 10 Aug 2026 23:42:26 +0200
Subject: [PATCH 31/54] new distinctions on the tumoral cell death procedures:
 apoptosis vs necrosis. New limits on the initical cell volumes and solved bug
 of CART 0 nueclear volume

---
 README.md                                     |   2 +-
 .../experiment_70/optuna_results.csv          |   2 +-
 abm_calibration/optimize.py                   |  24 +--
 draft/config2_noDecay.json                    |   2 +-
 draft/config_after_midterm.json               |   2 +-
 ...nfig_glucose_not_affect_proliferation.json |   8 +-
 draft/config_very_variable_outcomes.json      |   8 +-
 draft/config_with_aging_factor.json           |   2 +-
 draft/config_without_aging_factor.json        |   2 +-
 draft/cylinder_configDecay0_1.json            |   2 +-
 draft/deacay0_01.json                         |   2 +-
 draft/experimentation.py                      |  27 +--
 .../data_dependent_on_radius_tumor.csv        |  74 --------
 draft/values_glucose_with_cup/final_data.csv  |  74 --------
 params.json                                   |  23 ++-
 src/agents/cart_cell.cc                       |  29 +++-
 src/agents/tumor_cell.cc                      | 163 ++++++++++--------
 src/agents/tumor_cell.h                       |  10 +-
 src/params/hyperparams.cc                     |  56 ++++--
 src/params/hyperparams.h                      |  42 +++--
 20 files changed, 248 insertions(+), 306 deletions(-)
 delete mode 100644 draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
 delete mode 100644 draft/values_glucose_with_cup/final_data.csv

diff --git a/README.md b/README.md
index 5e19280..e835d5c 100644
--- a/README.md
+++ b/README.md
@@ -328,7 +328,7 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | `maximum_necrosis_lack_of_oxygen_rate` | 0.00277778 | min⁻¹ | Maximum necrosis rate at 0 oxygen (1/360 min⁻¹) |
 | `default_oxygen_consumption_tumor_cell` | 10 | 1/min | Baseline oxygen consumption rate of tumor cells |
 | `default_volume_new_tumor_cell` | 2494 | μm³ | Total volume of newly created tumor cell |
-| `default_volume_nucleus_tumor_cell` | 540 | μm³ | Nuclear volume of newly created tumor cell |
+| `default_fraction_of_volume_for_nucleus_tumor_cell` |  0.21652 | - | Nuclear volume of newly created tumor cell |
 | `default_fraction_fluid_tumor_cell` | 0.75 | - | Fraction of cytoplasmic volume that is fluid |
 | `average_time_transformation_random_rate` | 38.6 | hours | Mean cell cycle duration |
 | `standard_deviation_transformation_random_rate` | 3.7 | hours | Standard deviation of cell cycle duration |
diff --git a/abm_calibration/experiment_70/optuna_results.csv b/abm_calibration/experiment_70/optuna_results.csv
index 3e9e0a7..51d77df 100644
--- a/abm_calibration/experiment_70/optuna_results.csv
+++ b/abm_calibration/experiment_70/optuna_results.csv
@@ -1,4 +1,4 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_glucose_rate,state
+number,value,datetime_start,datetime_complete,duration,params_maximum_death_lack_of_glucose_rate,state
 0,20.0,2026-08-09 00:32:23.588370,2026-08-09 01:39:28.666546,0 days 01:07:05.078176,0.00016399999999999997,COMPLETE
 1,375.0,2026-08-09 01:39:28.694855,2026-08-09 02:46:32.136531,0 days 01:07:03.441676,0.000186,COMPLETE
 2,188.0,2026-08-09 02:46:32.161256,2026-08-09 03:53:39.132009,0 days 01:07:06.970753,0.000176,COMPLETE
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 7538a86..7ef749d 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -55,18 +55,18 @@
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
-    # basal_necrosis_probability_cancer_cells = params[
-    #     "basal_necrosis_probability_cancer_cells"
+    # basal_death_probability_cancer_cells = params[
+    #     "basal_death_probability_cancer_cells"
     # ]
 
-    maximum_necrosis_lack_of_glucose_rate = params[
-        "maximum_necrosis_lack_of_glucose_rate"
+    maximum_death_lack_of_glucose_rate = params[
+        "maximum_death_lack_of_glucose_rate"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
     # ]
-    # maximum_necrosis_lack_of_glucose_rate = params[
-    #     "maximum_necrosis_lack_of_glucose_rate"
+    # maximum_death_lack_of_glucose_rate = params[
+    #     "maximum_death_lack_of_glucose_rate"
     # ]
 
     # Change this configuration for the ABM run
@@ -113,7 +113,7 @@ def run_ABM(params, seed):
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.000005,
+  "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -126,9 +126,9 @@ def run_ABM(params, seed):
   "default_glucose_consumption_cart": 0.045,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_necrosis": 5,
-  "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": maximum_necrosis_lack_of_glucose_rate,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": maximum_death_lack_of_glucose_rate,
   "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
     # Save the config parameters for the run to the params.json file
@@ -337,8 +337,8 @@ def objective(trial):
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        "maximum_necrosis_lack_of_glucose_rate": trial.suggest_float("maximum_necrosis_lack_of_glucose_rate", 0.00015, 0.000186, step=0.000002),
-        # "maximum_necrosis_lack_of_glucose_rate": trial.suggest_float("maximum_necrosis_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
+        "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.00015, 0.000186, step=0.000002),
+        # "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
diff --git a/draft/config2_noDecay.json b/draft/config2_noDecay.json
index a84a3a2..f0d2a98 100644
--- a/draft/config2_noDecay.json
+++ b/draft/config2_noDecay.json
@@ -32,5 +32,5 @@
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0
+  "basal_death_probability_cancer_cells": 0.0
 }
\ No newline at end of file
diff --git a/draft/config_after_midterm.json b/draft/config_after_midterm.json
index 859c4b1..6dc66a1 100644
--- a/draft/config_after_midterm.json
+++ b/draft/config_after_midterm.json
@@ -35,7 +35,7 @@
   "oxygen_limit_for_necrosis": 45.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "basal_death_probability_cancer_cells": 0.0000166,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
diff --git a/draft/config_glucose_not_affect_proliferation.json b/draft/config_glucose_not_affect_proliferation.json
index 25f69c7..5156aee 100644
--- a/draft/config_glucose_not_affect_proliferation.json
+++ b/draft/config_glucose_not_affect_proliferation.json
@@ -41,7 +41,7 @@
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 4.7e-06,
+  "basal_death_probability_cancer_cells": 4.7e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -52,7 +52,7 @@
   "max_radius_glucose_initialization": 3100.0,
   "default_glucose_consumption_cart": 0.145,
   "glucose_limit_for_proliferation": 0,
-  "glucose_limit_for_necrosis": 5,
-  "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.000093
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000093
 }
\ No newline at end of file
diff --git a/draft/config_very_variable_outcomes.json b/draft/config_very_variable_outcomes.json
index dea4bbc..6e66318 100644
--- a/draft/config_very_variable_outcomes.json
+++ b/draft/config_very_variable_outcomes.json
@@ -41,7 +41,7 @@
   "oxygen_limit_for_necrosis": 0.0,
   "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 4.7e-06,
+  "basal_death_probability_cancer_cells": 4.7e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -52,7 +52,7 @@
   "max_radius_glucose_initialization": 3100.0,
   "default_glucose_consumption_cart": 0.145,
   "glucose_limit_for_proliferation": 0,
-  "glucose_limit_for_necrosis": 5,
-  "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.0001
 }
\ No newline at end of file
diff --git a/draft/config_with_aging_factor.json b/draft/config_with_aging_factor.json
index c5eb724..09ba2f1 100644
--- a/draft/config_with_aging_factor.json
+++ b/draft/config_with_aging_factor.json
@@ -33,6 +33,6 @@
   "oxygen_limit_for_necrosis": 45.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.00002276,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000031,
+  "basal_death_probability_cancer_cells": 0.0000031,
   "nutrient_starvation_factor_cancer_cells": 1.000602
 }
\ No newline at end of file
diff --git a/draft/config_without_aging_factor.json b/draft/config_without_aging_factor.json
index 3d69e83..b63d20e 100644
--- a/draft/config_without_aging_factor.json
+++ b/draft/config_without_aging_factor.json
@@ -33,6 +33,6 @@
   "oxygen_limit_for_necrosis": 45.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000166,
+  "basal_death_probability_cancer_cells": 0.0000166,
   "nutrient_starvation_factor_cancer_cells": 1.00
 }
\ No newline at end of file
diff --git a/draft/cylinder_configDecay0_1.json b/draft/cylinder_configDecay0_1.json
index acdab6d..86aaa5b 100644
--- a/draft/cylinder_configDecay0_1.json
+++ b/draft/cylinder_configDecay0_1.json
@@ -32,5 +32,5 @@
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0
+  "basal_death_probability_cancer_cells": 0.0
 }
\ No newline at end of file
diff --git a/draft/deacay0_01.json b/draft/deacay0_01.json
index 4598a84..39aa1b4 100644
--- a/draft/deacay0_01.json
+++ b/draft/deacay0_01.json
@@ -32,5 +32,5 @@
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0
+  "basal_death_probability_cancer_cells": 0.0
 }
\ No newline at end of file
diff --git a/draft/experimentation.py b/draft/experimentation.py
index a7bd8eb..e18b25b 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -32,7 +32,7 @@
 PARAMS_PATH = BASE_DIR / "params.json"
 
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
-NUMBER_EXECUTIONS = 70
+NUMBER_EXECUTIONS = 10
 
 SIM_DIR = BASE_DIR / "output"        # folder where the ABM writes its results
 DRAFT_DIR = BASE_DIR / "draft"       # base destination folder
@@ -59,7 +59,9 @@ def run_ABM(seed):
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 0,
   "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 67.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
@@ -72,18 +74,16 @@ def run_ABM(seed):
   "treatment": {
     "0": 0
   },
-  "average_time_transformation_random_rate": 49,
-  "standard_deviation_transformation_random_rate": 4.0,
-  "glucose_saturation_for_proliferation": 25,
-  "default_glucose_consumption_tumor_cell": 0.045,
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
   "oxygen_saturation_for_proliferation": 0,
   "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 0.0000047,
+  "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -92,11 +92,14 @@ def run_ABM(seed):
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_proliferation": 0,
-  "glucose_limit_for_necrosis": 5,
-  "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.0001
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "default_glucose_consumption_cart": 0.045,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000156,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
 
     # Save the config parameters for this run to the params.json file
diff --git a/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv b/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
deleted file mode 100644
index 23f6844..0000000
--- a/draft/values_glucose_with_cup/data_dependent_on_radius_tumor.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_150,num_dead_cells_radius_0_to_150,total_num_cells_radius_0_to_150,num_alive_tumor_cells_radius_0_to_150,total_num_tumor_cells_radius_0_to_150,num_alive_cart_cells_radius_0_to_150,num_dead_cart_cells_radius_0_to_150,tumor_cells_type1_radius_0_to_150,tumor_cells_type2_radius_0_to_150,tumor_cells_type3_radius_0_to_150,tumor_cells_type4_radius_0_to_150,tumor_cells_type5_dead_radius_0_to_150,average_oncoprotein_radius_0_to_150,average_oxygen_cancer_cells_radius_0_to_150,average_oxygen_all_cells_radius_0_to_150,average_glucose_cancer_cells_radius_0_to_150,average_glucose_all_cells_radius_0_to_150,num_alive_cells_radius_150_to_300,num_dead_cells_radius_150_to_300,total_num_cells_radius_150_to_300,num_alive_tumor_cells_radius_150_to_300,total_num_tumor_cells_radius_150_to_300,num_alive_cart_cells_radius_150_to_300,num_dead_cart_cells_radius_150_to_300,tumor_cells_type1_radius_150_to_300,tumor_cells_type2_radius_150_to_300,tumor_cells_type3_radius_150_to_300,tumor_cells_type4_radius_150_to_300,tumor_cells_type5_dead_radius_150_to_300,average_oncoprotein_radius_150_to_300,average_oxygen_cancer_cells_radius_150_to_300,average_oxygen_all_cells_radius_150_to_300,average_glucose_cancer_cells_radius_150_to_300,average_glucose_all_cells_radius_150_to_300,num_alive_cells_radius_300_to_450,num_dead_cells_radius_300_to_450,total_num_cells_radius_300_to_450,num_alive_tumor_cells_radius_300_to_450,total_num_tumor_cells_radius_300_to_450,num_alive_cart_cells_radius_300_to_450,num_dead_cart_cells_radius_300_to_450,tumor_cells_type1_radius_300_to_450,tumor_cells_type2_radius_300_to_450,tumor_cells_type3_radius_300_to_450,tumor_cells_type4_radius_300_to_450,tumor_cells_type5_dead_radius_300_to_450,average_oncoprotein_radius_300_to_450,average_oxygen_cancer_cells_radius_300_to_450,average_oxygen_all_cells_radius_300_to_450,average_glucose_cancer_cells_radius_300_to_450,average_glucose_all_cells_radius_300_to_450,num_alive_cells_radius_450_to_600,num_dead_cells_radius_450_to_600,total_num_cells_radius_450_to_600,num_alive_tumor_cells_radius_450_to_600,total_num_tumor_cells_radius_450_to_600,num_alive_cart_cells_radius_450_to_600,num_dead_cart_cells_radius_450_to_600,tumor_cells_type1_radius_450_to_600,tumor_cells_type2_radius_450_to_600,tumor_cells_type3_radius_450_to_600,tumor_cells_type4_radius_450_to_600,tumor_cells_type5_dead_radius_450_to_600,average_oncoprotein_radius_450_to_600,average_oxygen_cancer_cells_radius_450_to_600,average_oxygen_all_cells_radius_450_to_600,average_glucose_cancer_cells_radius_450_to_600,average_glucose_all_cells_radius_450_to_600,num_alive_cells_radius_600_to_750,num_dead_cells_radius_600_to_750,total_num_cells_radius_600_to_750,num_alive_tumor_cells_radius_600_to_750,total_num_tumor_cells_radius_600_to_750,num_alive_cart_cells_radius_600_to_750,num_dead_cart_cells_radius_600_to_750,tumor_cells_type1_radius_600_to_750,tumor_cells_type2_radius_600_to_750,tumor_cells_type3_radius_600_to_750,tumor_cells_type4_radius_600_to_750,tumor_cells_type5_dead_radius_600_to_750,average_oncoprotein_radius_600_to_750,average_oxygen_cancer_cells_radius_600_to_750,average_oxygen_all_cells_radius_600_to_750,average_glucose_cancer_cells_radius_600_to_750,average_glucose_all_cells_radius_600_to_750,num_alive_cells_radius_750_to_900,num_dead_cells_radius_750_to_900,total_num_cells_radius_750_to_900,num_alive_tumor_cells_radius_750_to_900,total_num_tumor_cells_radius_750_to_900,num_alive_cart_cells_radius_750_to_900,num_dead_cart_cells_radius_750_to_900,tumor_cells_type1_radius_750_to_900,tumor_cells_type2_radius_750_to_900,tumor_cells_type3_radius_750_to_900,tumor_cells_type4_radius_750_to_900,tumor_cells_type5_dead_radius_750_to_900,average_oncoprotein_radius_750_to_900,average_oxygen_cancer_cells_radius_750_to_900,average_oxygen_all_cells_radius_750_to_900,average_glucose_cancer_cells_radius_750_to_900,average_glucose_all_cells_radius_750_to_900,num_alive_cells_radius_900_to_1050,num_dead_cells_radius_900_to_1050,total_num_cells_radius_900_to_1050,num_alive_tumor_cells_radius_900_to_1050,total_num_tumor_cells_radius_900_to_1050,num_alive_cart_cells_radius_900_to_1050,num_dead_cart_cells_radius_900_to_1050,tumor_cells_type1_radius_900_to_1050,tumor_cells_type2_radius_900_to_1050,tumor_cells_type3_radius_900_to_1050,tumor_cells_type4_radius_900_to_1050,tumor_cells_type5_dead_radius_900_to_1050,average_oncoprotein_radius_900_to_1050,average_oxygen_cancer_cells_radius_900_to_1050,average_oxygen_all_cells_radius_900_to_1050,average_glucose_cancer_cells_radius_900_to_1050,average_glucose_all_cells_radius_900_to_1050,num_alive_cells_radius_1050_to_1200,num_dead_cells_radius_1050_to_1200,total_num_cells_radius_1050_to_1200,num_alive_tumor_cells_radius_1050_to_1200,total_num_tumor_cells_radius_1050_to_1200,num_alive_cart_cells_radius_1050_to_1200,num_dead_cart_cells_radius_1050_to_1200,tumor_cells_type1_radius_1050_to_1200,tumor_cells_type2_radius_1050_to_1200,tumor_cells_type3_radius_1050_to_1200,tumor_cells_type4_radius_1050_to_1200,tumor_cells_type5_dead_radius_1050_to_1200,average_oncoprotein_radius_1050_to_1200,average_oxygen_cancer_cells_radius_1050_to_1200,average_oxygen_all_cells_radius_1050_to_1200,average_glucose_cancer_cells_radius_1050_to_1200,average_glucose_all_cells_radius_1050_to_1200,num_alive_cells_radius_1200_to_1350,num_dead_cells_radius_1200_to_1350,total_num_cells_radius_1200_to_1350,num_alive_tumor_cells_radius_1200_to_1350,total_num_tumor_cells_radius_1200_to_1350,num_alive_cart_cells_radius_1200_to_1350,num_dead_cart_cells_radius_1200_to_1350,tumor_cells_type1_radius_1200_to_1350,tumor_cells_type2_radius_1200_to_1350,tumor_cells_type3_radius_1200_to_1350,tumor_cells_type4_radius_1200_to_1350,tumor_cells_type5_dead_radius_1200_to_1350,average_oncoprotein_radius_1200_to_1350,average_oxygen_cancer_cells_radius_1200_to_1350,average_oxygen_all_cells_radius_1200_to_1350,average_glucose_cancer_cells_radius_1200_to_1350,average_glucose_all_cells_radius_1200_to_1350,num_alive_cells_radius_1350_to_1500,num_dead_cells_radius_1350_to_1500,total_num_cells_radius_1350_to_1500,num_alive_tumor_cells_radius_1350_to_1500,total_num_tumor_cells_radius_1350_to_1500,num_alive_cart_cells_radius_1350_to_1500,num_dead_cart_cells_radius_1350_to_1500,tumor_cells_type1_radius_1350_to_1500,tumor_cells_type2_radius_1350_to_1500,tumor_cells_type3_radius_1350_to_1500,tumor_cells_type4_radius_1350_to_1500,tumor_cells_type5_dead_radius_1350_to_1500,average_oncoprotein_radius_1350_to_1500,average_oxygen_cancer_cells_radius_1350_to_1500,average_oxygen_all_cells_radius_1350_to_1500,average_glucose_cancer_cells_radius_1350_to_1500,average_glucose_all_cells_radius_1350_to_1500,num_alive_cells_radius_1500_to_1650,num_dead_cells_radius_1500_to_1650,total_num_cells_radius_1500_to_1650,num_alive_tumor_cells_radius_1500_to_1650,total_num_tumor_cells_radius_1500_to_1650,num_alive_cart_cells_radius_1500_to_1650,num_dead_cart_cells_radius_1500_to_1650,tumor_cells_type1_radius_1500_to_1650,tumor_cells_type2_radius_1500_to_1650,tumor_cells_type3_radius_1500_to_1650,tumor_cells_type4_radius_1500_to_1650,tumor_cells_type5_dead_radius_1500_to_1650,average_oncoprotein_radius_1500_to_1650,average_oxygen_cancer_cells_radius_1500_to_1650,average_oxygen_all_cells_radius_1500_to_1650,average_glucose_cancer_cells_radius_1500_to_1650,average_glucose_all_cells_radius_1500_to_1650,num_alive_cells_radius_1650_to_1800,num_dead_cells_radius_1650_to_1800,total_num_cells_radius_1650_to_1800,num_alive_tumor_cells_radius_1650_to_1800,total_num_tumor_cells_radius_1650_to_1800,num_alive_cart_cells_radius_1650_to_1800,num_dead_cart_cells_radius_1650_to_1800,tumor_cells_type1_radius_1650_to_1800,tumor_cells_type2_radius_1650_to_1800,tumor_cells_type3_radius_1650_to_1800,tumor_cells_type4_radius_1650_to_1800,tumor_cells_type5_dead_radius_1650_to_1800,average_oncoprotein_radius_1650_to_1800,average_oxygen_cancer_cells_radius_1650_to_1800,average_oxygen_all_cells_radius_1650_to_1800,average_glucose_cancer_cells_radius_1650_to_1800,average_glucose_all_cells_radius_1650_to_1800,num_alive_cells_radius_1800_to_1950,num_dead_cells_radius_1800_to_1950,total_num_cells_radius_1800_to_1950,num_alive_tumor_cells_radius_1800_to_1950,total_num_tumor_cells_radius_1800_to_1950,num_alive_cart_cells_radius_1800_to_1950,num_dead_cart_cells_radius_1800_to_1950,tumor_cells_type1_radius_1800_to_1950,tumor_cells_type2_radius_1800_to_1950,tumor_cells_type3_radius_1800_to_1950,tumor_cells_type4_radius_1800_to_1950,tumor_cells_type5_dead_radius_1800_to_1950,average_oncoprotein_radius_1800_to_1950,average_oxygen_cancer_cells_radius_1800_to_1950,average_oxygen_all_cells_radius_1800_to_1950,average_glucose_cancer_cells_radius_1800_to_1950,average_glucose_all_cells_radius_1800_to_1950,num_alive_cells_radius_1950_to_2100,num_dead_cells_radius_1950_to_2100,total_num_cells_radius_1950_to_2100,num_alive_tumor_cells_radius_1950_to_2100,total_num_tumor_cells_radius_1950_to_2100,num_alive_cart_cells_radius_1950_to_2100,num_dead_cart_cells_radius_1950_to_2100,tumor_cells_type1_radius_1950_to_2100,tumor_cells_type2_radius_1950_to_2100,tumor_cells_type3_radius_1950_to_2100,tumor_cells_type4_radius_1950_to_2100,tumor_cells_type5_dead_radius_1950_to_2100,average_oncoprotein_radius_1950_to_2100,average_oxygen_cancer_cells_radius_1950_to_2100,average_oxygen_all_cells_radius_1950_to_2100,average_glucose_cancer_cells_radius_1950_to_2100,average_glucose_all_cells_radius_1950_to_2100,num_alive_cells_radius_2100_to_2250,num_dead_cells_radius_2100_to_2250,total_num_cells_radius_2100_to_2250,num_alive_tumor_cells_radius_2100_to_2250,total_num_tumor_cells_radius_2100_to_2250,num_alive_cart_cells_radius_2100_to_2250,num_dead_cart_cells_radius_2100_to_2250,tumor_cells_type1_radius_2100_to_2250,tumor_cells_type2_radius_2100_to_2250,tumor_cells_type3_radius_2100_to_2250,tumor_cells_type4_radius_2100_to_2250,tumor_cells_type5_dead_radius_2100_to_2250,average_oncoprotein_radius_2100_to_2250,average_oxygen_cancer_cells_radius_2100_to_2250,average_oxygen_all_cells_radius_2100_to_2250,average_glucose_cancer_cells_radius_2100_to_2250,average_glucose_all_cells_radius_2100_to_2250,num_alive_cells_radius_2250_to_2400,num_dead_cells_radius_2250_to_2400,total_num_cells_radius_2250_to_2400,num_alive_tumor_cells_radius_2250_to_2400,total_num_tumor_cells_radius_2250_to_2400,num_alive_cart_cells_radius_2250_to_2400,num_dead_cart_cells_radius_2250_to_2400,tumor_cells_type1_radius_2250_to_2400,tumor_cells_type2_radius_2250_to_2400,tumor_cells_type3_radius_2250_to_2400,tumor_cells_type4_radius_2250_to_2400,tumor_cells_type5_dead_radius_2250_to_2400,average_oncoprotein_radius_2250_to_2400,average_oxygen_cancer_cells_radius_2250_to_2400,average_oxygen_all_cells_radius_2250_to_2400,average_glucose_cancer_cells_radius_2250_to_2400,average_glucose_all_cells_radius_2250_to_2400,num_alive_cells_radius_2400_to_2550,num_dead_cells_radius_2400_to_2550,total_num_cells_radius_2400_to_2550,num_alive_tumor_cells_radius_2400_to_2550,total_num_tumor_cells_radius_2400_to_2550,num_alive_cart_cells_radius_2400_to_2550,num_dead_cart_cells_radius_2400_to_2550,tumor_cells_type1_radius_2400_to_2550,tumor_cells_type2_radius_2400_to_2550,tumor_cells_type3_radius_2400_to_2550,tumor_cells_type4_radius_2400_to_2550,tumor_cells_type5_dead_radius_2400_to_2550,average_oncoprotein_radius_2400_to_2550,average_oxygen_cancer_cells_radius_2400_to_2550,average_oxygen_all_cells_radius_2400_to_2550,average_glucose_cancer_cells_radius_2400_to_2550,average_glucose_all_cells_radius_2400_to_2550,num_alive_cells_radius_2550_to_2700,num_dead_cells_radius_2550_to_2700,total_num_cells_radius_2550_to_2700,num_alive_tumor_cells_radius_2550_to_2700,total_num_tumor_cells_radius_2550_to_2700,num_alive_cart_cells_radius_2550_to_2700,num_dead_cart_cells_radius_2550_to_2700,tumor_cells_type1_radius_2550_to_2700,tumor_cells_type2_radius_2550_to_2700,tumor_cells_type3_radius_2550_to_2700,tumor_cells_type4_radius_2550_to_2700,tumor_cells_type5_dead_radius_2550_to_2700,average_oncoprotein_radius_2550_to_2700,average_oxygen_cancer_cells_radius_2550_to_2700,average_oxygen_all_cells_radius_2550_to_2700,average_glucose_cancer_cells_radius_2550_to_2700,average_glucose_all_cells_radius_2550_to_2700,num_alive_cells_radius_2700_to_2850,num_dead_cells_radius_2700_to_2850,total_num_cells_radius_2700_to_2850,num_alive_tumor_cells_radius_2700_to_2850,total_num_tumor_cells_radius_2700_to_2850,num_alive_cart_cells_radius_2700_to_2850,num_dead_cart_cells_radius_2700_to_2850,tumor_cells_type1_radius_2700_to_2850,tumor_cells_type2_radius_2700_to_2850,tumor_cells_type3_radius_2700_to_2850,tumor_cells_type4_radius_2700_to_2850,tumor_cells_type5_dead_radius_2700_to_2850,average_oncoprotein_radius_2700_to_2850,average_oxygen_cancer_cells_radius_2700_to_2850,average_oxygen_all_cells_radius_2700_to_2850,average_glucose_cancer_cells_radius_2700_to_2850,average_glucose_all_cells_radius_2700_to_2850,num_alive_cells_radius_2850_to_3000,num_dead_cells_radius_2850_to_3000,total_num_cells_radius_2850_to_3000,num_alive_tumor_cells_radius_2850_to_3000,total_num_tumor_cells_radius_2850_to_3000,num_alive_cart_cells_radius_2850_to_3000,num_dead_cart_cells_radius_2850_to_3000,tumor_cells_type1_radius_2850_to_3000,tumor_cells_type2_radius_2850_to_3000,tumor_cells_type3_radius_2850_to_3000,tumor_cells_type4_radius_2850_to_3000,tumor_cells_type5_dead_radius_2850_to_3000,average_oncoprotein_radius_2850_to_3000,average_oxygen_cancer_cells_radius_2850_to_3000,average_oxygen_all_cells_radius_2850_to_3000,average_glucose_cancer_cells_radius_2850_to_3000,average_glucose_all_cells_radius_2850_to_3000
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diff --git a/draft/values_glucose_with_cup/final_data.csv b/draft/values_glucose_with_cup/final_data.csv
deleted file mode 100644
index 2a6a41c..0000000
--- a/draft/values_glucose_with_cup/final_data.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,tumor_radius,num_cells,num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells
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-0.625,15,900,3000.88,28001,28001,0,27409,0,0,592,0,0,1,39.8589,39.8589,15.197,15.197
-0.666667,16,960,3000.88,28001,28001,0,27367,0,0,634,0,0,1,39.8927,39.8927,14.731,14.731
-0.708333,17,1020,3000.88,28001,28001,0,27336,0,0,665,0,0,1,39.913,39.913,14.2799,14.2799
-0.75,18,1080,3000.88,28003,28003,0,27302,0,0,701,0,0,1,39.9428,39.9428,13.8431,13.8431
-0.791667,19,1140,3000.88,28004,28004,0,27263,0,0,741,0,0,1,39.981,39.981,13.4204,13.4204
-0.833333,20,1200,3000.88,28004,28004,0,27222,0,0,782,0,0,1,40.0151,40.0151,13.0111,13.0111
-0.875,21,1260,3000.88,28008,28008,0,27181,0,0,827,0,0,1,40.0509,40.0509,12.6149,12.6149
-0.916667,22,1320,3000.88,28011,28011,0,27145,0,0,866,0,0,1,40.0848,40.0848,12.2315,12.2315
-0.958333,23,1380,3000.88,28013,28013,0,27110,0,0,903,0,0,1,40.1142,40.1142,11.8602,11.8602
-1,24,1440,3000.88,28015,28015,0,27068,0,0,947,0,0,1,40.1498,40.1498,11.5006,11.5006
-1.04167,25,1500,3000.88,28019,28019,0,27030,0,0,989,0,0,1,40.184,40.184,11.1524,11.1524
-1.08333,26,1560,3000.88,28023,28023,0,26995,0,0,1028,0,0,1,40.2213,40.2213,10.8153,10.8153
-1.125,27,1620,3000.88,28030,28030,0,26966,0,0,1064,0,0,1,40.2506,40.2506,10.4888,10.4888
-1.16667,28,1680,3000.88,28038,28038,0,26949,0,0,1089,0,0,1,40.2684,40.2684,10.1724,10.1724
-1.20833,29,1740,3000.88,28047,28047,0,26917,0,0,1130,0,0,1,40.3066,40.3066,9.86583,9.86583
-1.25,30,1800,3000.88,28053,28053,0,26881,0,0,1172,0,0,1,40.3346,40.3346,9.56892,9.56892
-1.29167,31,1860,3000.88,28072,28072,0,26856,0,0,1216,0,0,1,40.3648,40.3648,9.28142,9.28142
-1.33333,32,1920,3000.88,28093,28093,0,26848,0,0,1245,0,0,1,40.3936,40.3936,9.00295,9.00295
-1.375,33,1980,3000.88,28111,28111,0,26835,0,0,1276,0,0,1,40.4129,40.4129,8.73297,8.73297
-1.41667,34,2040,3000.88,28131,28131,0,26815,0,0,1316,0,0,1,40.4436,40.4436,8.47134,8.47134
-1.45833,35,2100,3000.88,28151,28151,0,26794,0,0,1357,0,0,1,40.4716,40.4716,8.21783,8.21783
-1.5,36,2160,3000.88,28181,28181,0,26794,0,0,1387,0,0,1,40.4912,40.4912,7.97213,7.97213
-1.54167,37,2220,3000.88,28209,28209,0,26775,0,0,1434,0,0,1,40.5086,40.5086,7.73391,7.73391
-1.58333,38,2280,3000.88,28250,28250,0,26781,0,0,1469,0,0,1,40.5347,40.5347,7.50314,7.50314
-1.625,39,2340,3000.88,28313,28313,0,26795,0,0,1518,0,0,1,40.5715,40.5715,7.27948,7.27948
-1.66667,40,2400,3000.88,28372,28372,0,26808,0,0,1564,0,0,1,40.5898,40.5898,7.06261,7.06261
-1.70833,41,2460,3000.88,28441,28441,0,26835,0,0,1606,0,0,1,40.6271,40.6271,6.85246,6.85246
-1.75,42,2520,3000.88,28533,28533,0,26897,0,0,1636,0,0,1,40.6443,40.6443,6.64855,6.64855
-1.79167,43,2580,3000.88,28621,28621,0,26952,0,0,1669,0,0,1,40.658,40.658,6.45066,6.45066
-1.83333,44,2640,3000.88,28713,28713,0,27011,0,0,1702,0,0,1,40.6471,40.6471,6.25856,6.25856
-1.875,45,2700,3000.88,28820,28820,0,27080,0,0,1740,0,0,1,40.6488,40.6488,6.07212,6.07212
-1.91667,46,2760,3000.88,28934,28934,0,27167,0,0,1767,0,0,1,40.6546,40.6546,5.89122,5.89122
-1.95833,47,2820,3000.88,29047,29047,0,27244,0,0,1803,0,0,1,40.6562,40.6562,5.7154,5.7154
-2,48,2880,3000.88,29201,29201,0,27356,0,0,1845,0,0,1,40.6374,40.6374,5.54466,5.54466
-2.04167,49,2940,3000.88,29344,29344,0,27458,0,0,1886,0,0,1,40.6187,40.6187,5.37882,5.37882
-2.08333,50,3000,3000.88,29519,29519,0,27591,0,0,1928,0,0,1,40.6218,40.6218,5.2178,5.2178
-2.125,51,3060,3000.89,29742,29742,0,27769,0,0,1973,0,0,1,40.5928,40.5928,5.06121,5.06121
-2.16667,52,3120,3000.99,29963,29963,0,27954,0,0,2009,0,0,1,40.5826,40.5826,4.90905,4.90905
-2.20833,53,3180,3002.7,30218,30218,0,28177,0,0,2041,0,0,1,40.5334,40.5334,4.76099,4.76099
-2.25,54,3240,3002.82,30490,30490,0,28410,0,0,2080,0,0,1,40.4893,40.4893,4.61689,4.61689
-2.29167,55,3300,3002.94,30766,30766,0,28651,0,0,2115,0,0,1,40.4083,40.4083,4.47659,4.47659
-2.33333,56,3360,3003.23,31088,31088,0,28934,0,0,2154,0,0,1,40.3605,40.3605,4.34003,4.34003
-2.375,57,3420,3003.47,31398,31398,0,29214,0,0,2184,0,0,1,40.2663,40.2663,4.20689,4.20689
-2.41667,58,3480,3003.55,31732,31732,0,29507,0,0,2225,0,0,1,40.1678,40.1678,4.07706,4.07706
-2.45833,59,3540,3003.64,32090,32090,0,29835,0,0,2255,0,0,1,40.0872,40.0872,3.95055,3.95055
-2.5,60,3600,3003.72,32483,32483,0,30179,0,0,2304,0,0,1,39.9934,39.9934,3.82714,3.82714
-2.54167,61,3660,3003.8,32880,32880,0,30538,0,0,2342,0,0,1,39.8582,39.8582,3.70666,3.70666
-2.58333,62,3720,3003.87,33288,33288,0,30888,0,0,2400,0,0,1,39.7368,39.7368,3.58919,3.58919
-2.625,63,3780,3005.6,33684,33684,0,31241,0,0,2443,0,0,1,39.597,39.597,3.47455,3.47455
-2.66667,64,3840,3005.85,34147,34147,0,31655,0,0,2492,0,0,1,39.4545,39.4545,3.36262,3.36262
-2.70833,65,3900,3005.98,34599,34599,0,32075,0,0,2524,0,0,1,39.2852,39.2852,3.25328,3.25328
-2.75,66,3960,3006.11,35093,35093,0,32528,0,0,2565,0,0,1,39.1116,39.1116,3.14643,3.14643
-2.79167,67,4020,3006.46,35595,35595,0,32987,0,0,2608,0,0,1,38.9483,38.9483,3.04208,3.04208
-2.83333,68,4080,3006.62,36063,36063,0,33402,0,0,2661,0,0,1,38.7528,38.7528,2.94007,2.94007
-2.875,69,4140,3006.76,36573,36573,0,33871,0,0,2702,0,0,1,38.549,38.549,2.84045,2.84045
-2.91667,70,4200,3006.89,37050,37050,0,34302,0,0,2748,0,0,1,38.321,38.321,2.74306,2.74306
-2.95833,71,4260,3007.01,37550,37550,0,34749,0,0,2801,0,0,1,38.0915,38.0915,2.64797,2.64797
-3,72,4320,3007.11,38021,38021,0,35165,0,0,2856,0,0,1,37.8266,37.8266,2.55508,2.55508
diff --git a/params.json b/params.json
index 39b1468..de6a71b 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 8666,
+  "seed": 54,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -17,9 +17,13 @@
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
   "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 67.25,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
@@ -29,6 +33,7 @@
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
   "treatment": {
     "0": 0
   },
@@ -39,9 +44,9 @@
   "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_necrosis_probability_cancer_cells": 5e-06,
+  "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "minimum_distance_from_tumor_to_spawn_cart": 20.0,
@@ -49,13 +54,13 @@
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
+  "max_radius_glucose_initialization": 3100.0,  
   "default_glucose_consumption_tumor_cell": 0.045,
   "default_glucose_consumption_cart": 0.045,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_necrosis": 5,
-  "glucose_limit_for_necrosis_maximum": 0,
-  "maximum_necrosis_lack_of_glucose_rate": 0.000156,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
   "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 490ed73..de42b91 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -48,7 +48,20 @@ CarTCell::CarTCell(const Real3& position) {
   SetPosition(position);
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
-  SetVolume(SamplePositiveGaussian(sparams->default_volume_new_cart_cell,sparams->std_volume_new_cart_cell));
+  // Set default volume
+  real_t total_volume=SamplePositiveGaussian(sparams->default_volume_new_cart_cell,sparams->std_volume_new_cart_cell);
+  // Clip the value between the minimum and maximum allowed values
+  if (total_volume < sparams->min_volume_new_cart_cell) {
+    total_volume=sparams->min_volume_new_cart_cell;
+  } else if (total_volume > sparams->max_volume_new_cart_cell) {
+    total_volume=sparams->max_volume_new_cart_cell;
+  }
+  SetVolume(total_volume);
+  // Set default fluid fraction
+  SetFluidFraction(sparams->default_fraction_fluid_cart_cell);
+  // Set default nuclear volume
+  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_cart_cell*total_volume);
+
   const ResourceManager& rm = *sim->GetResourceManager();
   oxygen_dgrid_ = rm.GetDiffusionGrid("oxygen");
   immunostimulatory_factor_dgrid_ = sparams->add_immunostimulatory_factor
@@ -490,11 +503,17 @@ void StateControlCart::Run(Agent* agent) {
           cell->SetState(CarTCellState::kApoptotic);
           // Reset timer_state, it should be 0 anyway
           cell->SetTimerState(0);
-          // Set target volume to 0 (the cell will shrink)
-          cell->SetTargetCytoplasmSolid(0.0);
-          cell->SetTargetNucleusSolid(0.0);
+          // Set target fuid volume to 0 (the cell shrinks loosing all its liquids)
+          const real_t current_total_volume = cell->GetVolume();
+          const real_t fluid_fraction = cell->GetFluidFraction();
+          const real_t nuclear_volume = cell->GetNuclearVolume();
+          const real_t current_cytoplasm_solid =
+              (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
+          const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+          cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
+          cell->SetTargetNucleusSolid( current_nuclear_solid);
           cell->SetTargetFractionFluid(0.0);
-          cell->SetTargetRelationCytoplasmNucleus(0.0);
+          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
           // Reduce oxygen consumption
           cell->SetOxygenConsumptionRate(
               cell->GetOxygenConsumptionRate() *
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index b7a135c..0f0787c 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -47,30 +47,33 @@ TumorCell::TumorCell(const Real3& position) {
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volumes
   // Set default volume
-  SetVolume(SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,sparams->std_volume_new_tumor_cell));
-  if(GetVolume() == 0.0){//Debug
-    std::cout << "TumorCell::TumorCell: Volume is zero, setting to default volume" << std::endl;
-    SetVolume(5);
+  real_t total_volume=SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,sparams->std_volume_new_tumor_cell);
+  // Clip the value between the minimum and maximum allowed values
+  if (total_volume < sparams->min_volume_new_tumor_cell) {
+    total_volume=sparams->min_volume_new_tumor_cell;
+  } else if (total_volume > sparams->max_volume_new_tumor_cell) {
+    total_volume=sparams->max_volume_new_tumor_cell;
   }
+  SetVolume(total_volume);
   // Set default fluid fraction
   SetFluidFraction(sparams->default_fraction_fluid_tumor_cell);
   // Set default nuclear volume
-  // SetNuclearVolume(sparams->default_volume_nucleus_tumor_cell);//Debug
-  SetNuclearVolume(0.216*sparams->default_volume_new_tumor_cell);
+  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_tumor_cell*total_volume);
   // target volumes
   // Set target fraction of fluid
   SetTargetFractionFluid(sparams->default_fraction_fluid_tumor_cell);
   // Set target relation between cytoplasm and nucleus
+  real_t default_volume_nucleus_tumor_cell = sparams->default_fraction_of_volume_for_nucleus_tumor_cell * sparams->default_volume_new_tumor_cell;
   SetTargetRelationCytoplasmNucleus(
       (sparams->default_volume_new_tumor_cell -
-       sparams->default_volume_nucleus_tumor_cell) /
-      (kEpsilon + sparams->default_volume_nucleus_tumor_cell));
+       default_volume_nucleus_tumor_cell) /
+      (kEpsilon + default_volume_nucleus_tumor_cell));
   // Set target nucleus solid volume
-  SetTargetNucleusSolid(sparams->default_volume_nucleus_tumor_cell *
+  SetTargetNucleusSolid(default_volume_nucleus_tumor_cell *
                         (1 - sparams->default_fraction_fluid_tumor_cell));
   // Set target cytoplasm solid volume
   SetTargetCytoplasmSolid((sparams->default_volume_new_tumor_cell -
-                           sparams->default_volume_nucleus_tumor_cell) *
+                           default_volume_nucleus_tumor_cell) *
                           (1 - sparams->default_fraction_fluid_tumor_cell));
 
   // Set initial oncoprotein level with a truncated normal distribution
@@ -90,7 +93,7 @@ TumorCell::TumorCell(const Real3& position) {
   // Set state transition random rate
   SetTransformationRandomRate();
   // Set basal death probability
-  SetBasalDeathProbability(sparams->basal_necrosis_probability_cancer_cells);
+  SetBasalDeathProbability(sparams->basal_death_probability_cancer_cells);
 
   // Add Consumption and Secretion
   // Set default oxygen consumption rate
@@ -266,21 +269,6 @@ void TumorCell::ChangeVolumeExponentialRelaxationEquation(
 
   const real_t new_volume = new_total_solid + new_fluid;
 
-//Debug
-if (std::isnan(total_nuclear)) {
-    std::cout << "new_volume is NaN"
-              << " | new_total_solid: " << new_total_solid
-              << " | nuclear_solid: " << nuclear_solid
-              << " | cytoplasm_solid: " << cytoplasm_solid
-              << " | current_cytoplasm_solid: " << current_cytoplasm_solid
-              << " | target_cytoplasm_solid: " << target_cytoplasm_solid
-              << " | nuclear_volume: " << nuclear_volume
-              << " | new_fluid: " << new_fluid
-              << " | current_volume: " << GetVolume()
-              << " | target_volume: " << GetTargetTotalVolume()
-              << std::endl;
-}
-
   // Avoid division by zero
   const real_t new_fraction_fluid = new_fluid / (kEpsilon + new_volume);
 
@@ -445,11 +433,17 @@ void TumorCell::StartApoptosis() {
   SetTimerState(0);
   // Set type to 5 to indicate dead cell
   SetType(TumorCellType::kType5);
-  // Set target volume to 0 (the cell shrinks)
-  SetTargetCytoplasmSolid(0.0);
-  SetTargetNucleusSolid(0.0);
+  // Set target fluid volume to 0 (the cell shrinks loosing all its liquids)
+  const real_t current_total_volume = GetVolume();
+  const real_t fluid_fraction = GetFluidFraction();
+  const real_t nuclear_volume = GetNuclearVolume();
+  const real_t current_cytoplasm_solid =
+      (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
+  const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+  SetTargetCytoplasmSolid(current_cytoplasm_solid);
+  SetTargetNucleusSolid( current_nuclear_solid);
   SetTargetFractionFluid(0.0);
-  SetTargetRelationCytoplasmNucleus(0.0);
+  SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
   // Reduce oxygen consumption
   SetOxygenConsumptionRate(GetOxygenConsumptionRate() *
                            sparams->reduction_consumption_dead_cells);
@@ -496,8 +490,8 @@ void StateControlGrowProliferate::Run(Agent* agent) {
             glucose_level = glucose_dgrid->GetValue(current_position);
           }
 
-        // Enter necrosis if oxygen or glucose levels are too low
-        if (ShouldEnterNecrosis(oxygen_level, glucose_level, cell)) {
+        // Die if oxygen or glucose levels are too low or because of random natural causes
+        if (ShouldDie(oxygen_level, glucose_level, cell)) {
           // Exit the function to prevent further processing
           return;
         }
@@ -524,11 +518,20 @@ void StateControlGrowProliferate::Run(Agent* agent) {
           cell->SetState(TumorCellState::kNecroticLysed);
           // Reset timer_state
           cell->SetTimerState(0);
-          // Set target volume to 0 (the cell will shrink)
-          cell->SetTargetCytoplasmSolid(0.0);
-          cell->SetTargetNucleusSolid(0.0);
+          // Set target fuid volume to 0 (the cell shrinks loosing all its liquids)
+          const real_t current_total_volume = cell->GetVolume();
+          const real_t fluid_fraction = cell->GetFluidFraction();
+          const real_t nuclear_volume = cell->GetNuclearVolume();
+          const real_t current_cytoplasm_solid =
+              (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
+          const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+          cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
+          cell->SetTargetNucleusSolid( current_nuclear_solid);
           cell->SetTargetFractionFluid(0.0);
-          cell->SetTargetRelationCytoplasmNucleus(0.0);
+          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
+          // Reduce oxygen consumption
+          cell->SetOxygenConsumptionRate(cell->GetOxygenConsumptionRate() *
+                                  sparams->reduction_consumption_dead_cells);
           // Stop secretion and consumption rate
           // Stop consumption
           cell->SetOxygenConsumptionRate(0.0);
@@ -664,13 +667,13 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
   }
 }
 
-// computes the probability of the cell entering necrosis
-bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level, real_t glucose_level,
+// computes the probability of the cell of dying due to low oxygen or glucose levels or due to random natural causes
+bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_level,
                                                       TumorCell* cell) {
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
-  // necrosis probability
-  // Oxygen
+  Random* random = sim->GetRandom();
+  // necrosis probability because of lack of Oxygen
   // Default multiplier for necrosis probability because of low oxygen level
   real_t multiplier = 0.0;
   // oxygen threshold for considering necrosis
@@ -685,34 +688,9 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level, real_
   }
   // Calculate the probability of necrosis based on oxygen level
   const real_t maximum_necrosis_rate_oxygen_multiplier = sparams->maximum_necrosis_lack_of_oxygen_rate * multiplier;
-  // Glucose (only if glucose is defined in the simulation)
-  // Default multiplier for necrosis probability because of low glucose level
-  multiplier = 0.0;
-  if (cell->IsGlucoseDefined()) {
-    //there is a glucose diffusion grid defined in the simulation
-    // glucose threshold for considering necrosis
-    if (glucose_level < sparams->glucose_limit_for_necrosis) {
-      multiplier = (sparams->glucose_limit_for_necrosis - glucose_level) /
-                  (sparams->glucose_limit_for_necrosis -
-                    sparams->glucose_limit_for_necrosis_maximum);
-    }
-    // threshold for maximum necrosis probability
-    if (glucose_level < sparams->glucose_limit_for_necrosis_maximum) {
-      multiplier = 1.0;
-    }
-  }
-  // Calculate the probability of necrosis based on glucose level. If no glucose gradient is defined it will be zero
-  const real_t maximum_necrosis_rate_glucose_multiplier = sparams->maximum_necrosis_lack_of_glucose_rate * multiplier;
-  // Random natural causes
-  const real_t current_basal_death_probability = cell->GetBasalDeathProbability();
-  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
-  // The probability of necrosis is calculated as the complement of the product of the complements of the individual probabilities, scaled by the time step.
-  const real_t probability_necrosis =
-      sparams->dt_cycle * (1.0 - (1.0 - maximum_necrosis_rate_oxygen_multiplier) *
-                                  (1.0 - maximum_necrosis_rate_glucose_multiplier) *
-                                  (1.0 - current_basal_death_probability));
 
-  Random* random = sim->GetRandom();
+  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
+  const real_t probability_necrosis = sparams->dt_cycle * maximum_necrosis_rate_oxygen_multiplier;
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
   // If the random number is less than the probability, enter necrosis
   if (enter_necrosis) {
@@ -734,15 +712,56 @@ bool StateControlGrowProliferate::ShouldEnterNecrosis(real_t oxygen_level, real_
     cell->ComputeConstantsConsumptionSecretion();
 
     // The cell will swell getting filled with fluid
-    cell->SetTargetCytoplasmSolid(0);
-    cell->SetTargetNucleusSolid(0);
-    // Set target fraction of fluid to 1.0
+    const real_t current_total_volume = cell->GetVolume();
+    const real_t fluid_fraction = cell->GetFluidFraction();
+    const real_t nuclear_volume = cell->GetNuclearVolume();
+    const real_t current_cytoplasm_solid =
+        (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
+    const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+    cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
+    cell->SetTargetNucleusSolid( current_nuclear_solid);
     cell->SetTargetFractionFluid(1.0);
-    cell->SetTargetRelationCytoplasmNucleus(0.0);
+    cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
     // Set type to 5 to indicate dead cell
     cell->SetType(TumorCellType::kType5);
+    return true;
+  }
+
+  // If the cell does not eneter necrosis (due to low oxygen), check if it should die due to low glucose or random natural causes (apoptosis)
+  // Glucose (only if glucose is defined in the simulation)
+  // Default multiplier for apoptosis probability because of low glucose level
+  multiplier = 0.0;
+  if (cell->IsGlucoseDefined()) {
+    //there is a glucose diffusion grid defined in the simulation
+    // glucose threshold for considering necrosis
+    if (glucose_level < sparams->glucose_limit_for_death) {
+      multiplier = (sparams->glucose_limit_for_death - glucose_level) /
+                  (sparams->glucose_limit_for_death -
+                    sparams->glucose_limit_for_death_maximum);
+    }
+    // threshold for maximum apoptosis probability
+    if (glucose_level < sparams->glucose_limit_for_death_maximum) {
+      multiplier = 1.0;
+    }
+  }
+  // Calculate the probability of apoptosis based on glucose level. If no glucose gradient is defined it will be zero
+  const real_t maximum_death_rate_glucose_multiplier = sparams->maximum_death_lack_of_glucose_rate * multiplier;
+
+  // Random natural causes
+  const real_t current_basal_death_probability = cell->GetBasalDeathProbability();
+  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
+  // The probability of natural aopotosis is calculated as the complement of the product of the complements of the individual probabilities, scaled by the time step.
+  const real_t probability_apoptosis =
+      sparams->dt_cycle * (1.0 - (1.0 - maximum_death_rate_glucose_multiplier) *
+                                  (1.0 - current_basal_death_probability));
+
+  const bool enter_apoptosis = random->Uniform(0, 1) < probability_apoptosis;
+  // If the random number is less than the probability, enter necrosis
+  if (enter_apoptosis) {
+    cell->StartApoptosis();
+    return true;
   }
-  return enter_necrosis;  // Return whether the cell entered necrosis
+  return false;  // Return whether the cell died
 }
 
 }  // namespace bdm
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 7cd30c5..81b7148 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -353,7 +353,7 @@ class TumorCell : public Cell, public ISubstanceInteractor {
 /// This behavior handles the state control logic for tumor cells, managing
 /// transitions between different cell states, growth, proliferation, and death
 /// processes. It includes logic for determining when cells should enter
-/// necrosis based on oxygen levels and other environmental factors.
+/// death based on oxygen levels and other environmental factors.
 
 struct StateControlGrowProliferate : public Behavior {
   // NOLINTNEXTLINE(llvm-else-after-return, moderinize-type-traits,
@@ -376,15 +376,15 @@ struct StateControlGrowProliferate : public Behavior {
   void Run(Agent* agent) override;
 
  private:
-  /// Compute the probability of the cell entering necrosis
+  /// Compute the probability of the cell dying due to low oxygen or glucose levels or due to random natural causes
   ///
-  /// Determines whether a cell should enter necrosis based on oxygen and, if deffined, glucose levels
+  /// Determines whether a cell should enter necrosis based on oxygen levels or apoptosis because of random causes and, if deffined, glucose levels
   ///
   /// @param oxygen_level Current oxygen concentration at the cell's location
   /// @param glucose_level Current glucose concentration at the cell's location
   /// @param cell Pointer to the tumor cell being evaluated
-  /// @return True if the cell should enter necrosis, false otherwise
-  static bool ShouldEnterNecrosis(real_t oxygen_level, real_t glucose_level, TumorCell* cell);
+  /// @return True if the cell should die, false otherwise
+  static bool ShouldDie(real_t oxygen_level, real_t glucose_level, TumorCell* cell);
 
   /// Manage the behavior of a living tumor cell
   ///
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 23d016a..05e3e3a 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -256,13 +256,13 @@ void SimParam::LoadParams(const std::string& filename) {
   load_double("oxygen_limit_for_necrosis_maximum",
               oxygen_limit_for_necrosis_maximum);
   load_double("maximum_necrosis_lack_of_oxygen_rate", maximum_necrosis_lack_of_oxygen_rate);
-  load_double("glucose_limit_for_necrosis", glucose_limit_for_necrosis);
-  load_double("glucose_limit_for_necrosis_maximum",
-              glucose_limit_for_necrosis_maximum);
-  load_double("maximum_necrosis_lack_of_glucose_rate",
-              maximum_necrosis_lack_of_glucose_rate);
-  load_double("basal_necrosis_probability_cancer_cells",
-              basal_necrosis_probability_cancer_cells);
+  load_double("glucose_limit_for_death", glucose_limit_for_death);
+  load_double("glucose_limit_for_death_maximum",
+              glucose_limit_for_death_maximum);
+  load_double("maximum_death_lack_of_glucose_rate",
+              maximum_death_lack_of_glucose_rate);
+  load_double("basal_death_probability_cancer_cells",
+              basal_death_probability_cancer_cells);
   load_double("time_lysis", time_lysis);
   
 
@@ -272,8 +272,10 @@ void SimParam::LoadParams(const std::string& filename) {
               default_glucose_consumption_tumor_cell);
   load_double("default_volume_new_tumor_cell", default_volume_new_tumor_cell);
   load_double("std_volume_new_tumor_cell", std_volume_new_tumor_cell);
-  load_double("default_volume_nucleus_tumor_cell",
-              default_volume_nucleus_tumor_cell);
+  load_double("max_volume_new_tumor_cell", max_volume_new_tumor_cell);
+  load_double("min_volume_new_tumor_cell", min_volume_new_tumor_cell);
+  load_double("default_fraction_of_volume_for_nucleus_tumor_cell",
+              default_fraction_of_volume_for_nucleus_tumor_cell);
   load_double("default_fraction_fluid_tumor_cell",
               default_fraction_fluid_tumor_cell);
   load_double("average_time_transformation_random_rate",
@@ -331,6 +333,12 @@ void SimParam::LoadParams(const std::string& filename) {
               default_glucose_consumption_cart);
   load_double("default_volume_new_cart_cell", default_volume_new_cart_cell);
   load_double("std_volume_new_cart_cell", std_volume_new_cart_cell);
+  load_double("max_volume_new_cart_cell", max_volume_new_cart_cell);
+  load_double("min_volume_new_cart_cell", min_volume_new_cart_cell);
+  load_double("default_fraction_fluid_cart_cell",
+              default_fraction_fluid_cart_cell);
+  load_double("default_fraction_of_volume_for_nucleus_cart_cell",
+              default_fraction_of_volume_for_nucleus_cart_cell);
   load_double("kill_rate_cart", kill_rate_cart);
   load_double("adhesion_rate_cart", adhesion_rate_cart);
   load_double("max_adhesion_distance_cart", max_adhesion_distance_cart);
@@ -478,8 +486,7 @@ void SimParam::PrintParams() const {
             << volume_relaxation_rate_fluid_apoptotic_cells << "\n";
   std::cout << "Time in minutes until an apoptotic cell is removed: "
             << time_apoptosis << "\n";
-  std::cout << "Reduction of consumption rate of dead cells when they enter "
-               "necrosis: "
+  std::cout << "Reduction of consumption rate of dead cells when they die: "
             << reduction_consumption_dead_cells << "\n\n";
 
   /// Chemicals
@@ -585,12 +592,19 @@ void SimParam::PrintParams() const {
             << oxygen_limit_for_necrosis << "\n";
   std::cout << "Limit of oxygen to maximum necrosis probability: "
             << oxygen_limit_for_necrosis_maximum << "\n";
-  std::cout << "Basal necrosis probability for tumor cells: "
-            << basal_necrosis_probability_cancer_cells << "\n";
+  std::cout << "Basal death probability for tumor cells: "
+            << basal_death_probability_cancer_cells << "\n";
   std::cout << "Time in minutes until a lysed necrotic cell is removed: "
             << time_lysis << "\n";
   std::cout << "Maximum rate per minute of necrosis for tumor cells: "
             << maximum_necrosis_lack_of_oxygen_rate << "\n";
+  std::cout << "Limit of glucose to start causing death: "
+            << glucose_limit_for_death << "\n";
+  std::cout << "Limit of glucose to maximum death probability: "
+            << glucose_limit_for_death_maximum << "\n";
+  std::cout << "Maximum rate per minute of death for tumor cells: "
+            << maximum_death_lack_of_glucose_rate << "\n";
+  
   std::cout << "Default oxygen consumption rate of tumor cell: "
             << default_oxygen_consumption_tumor_cell << "\n";
   std::cout << "Default glucose consumption rate of tumor cell: "
@@ -601,8 +615,12 @@ void SimParam::PrintParams() const {
             << default_volume_new_tumor_cell << "\n";
   std::cout << "Standard deviation of the total volume of a new tumor cell (μm³): "
             << std_volume_new_tumor_cell << "\n";
-  std::cout << "Default volume of the nucleus of a new tumor cell (μm³): "
-            << default_volume_nucleus_tumor_cell << "\n";
+  std::cout << "Maximum total volume of a new tumor cell (μm³): "
+            << max_volume_new_tumor_cell << "\n";
+  std::cout << "Minimum total volume of a new tumor cell (μm³): "
+            << min_volume_new_tumor_cell << "\n";
+  std::cout << "Default fraction of volume for nucleus tumor cell: "
+            << default_fraction_of_volume_for_nucleus_tumor_cell << "\n";
   std::cout << "Default fraction of fluid volume in a new tumor cell: "
             << default_fraction_fluid_tumor_cell << "\n";
 
@@ -680,6 +698,14 @@ void SimParam::PrintParams() const {
             << default_volume_new_cart_cell << "\n";
   std::cout << "Standard deviation of the total volume of a new CAR-T cell (μm³): "
             << std_volume_new_cart_cell << "\n";
+  std::cout << "Maximum total volume of a new CAR-T cell (μm³): "
+            << max_volume_new_cart_cell << "\n";
+  std::cout << "Minimum total volume of a new CAR-T cell (μm³): "
+            << min_volume_new_cart_cell << "\n";
+  std::cout << "Default fraction of fluid volume in a new CAR-T cell: "
+            << default_fraction_fluid_cart_cell << "\n";
+  std::cout << "Default fraction of volume for nucleus CAR-T cell: "
+            << default_fraction_of_volume_for_nucleus_cart_cell << "\n";
 
   std::cout << "\nKilling and adhesion rates:\n";
   std::cout << "How often a CAR-T cell tries to kill an attached cancer cell "
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 7ef54de..3aace00 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -153,7 +153,7 @@ struct SimParam : public ParamGroup {
   /// Time in minutes until an apoptotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_apoptosis = 516;
-  /// Reduction of consumption rate of dead cells when they enter necrosis
+  /// Reduction of consumption rate of dead cells when they die
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t reduction_consumption_dead_cells = 0.1;
 
@@ -315,19 +315,19 @@ struct SimParam : public ParamGroup {
   /// with oxygen_limit_for_necrosis_maximum oxygen
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t maximum_necrosis_lack_of_oxygen_rate = 0.00277778;
-  /// Limit of glucose to start causing necrosis
+  /// Limit of glucose to start causing cell death
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t glucose_limit_for_necrosis = 0;
-  /// Limit of glucose to maximum necrosis probability
+  real_t glucose_limit_for_death = 0;
+  /// Limit of glucose to maximum cell death probability
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t glucose_limit_for_necrosis_maximum = 0;
-  /// Maximum rate per minute of necrosis for tumor cells in case of lack of nutrients
-  /// with glucose_limit_for_necrosis_maximum glucose
+  real_t glucose_limit_for_death_maximum = 0;
+  /// Maximum rate per minute of cell death for tumor cells in case of lack of nutrients
+  /// with glucose_limit_for_death_maximum glucose
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t maximum_necrosis_lack_of_glucose_rate = 0.0;
-  /// Basal necrosis probability for cancer cells per minute: death due to natural random causes
+  real_t maximum_death_lack_of_glucose_rate = 0.0;
+  /// Basal cell death probability for cancer cells per minute: death due to natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t basal_necrosis_probability_cancer_cells = 0.0;
+  real_t basal_death_probability_cancer_cells = 0.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t time_lysis = 86400;
@@ -344,9 +344,15 @@ struct SimParam : public ParamGroup {
   /// Standard deviation of the total volume of a new tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t std_volume_new_tumor_cell = 0;
-  /// Default volume of the nucleus of a new tumor cell in μm³
+  /// Maximum volume of a tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t default_volume_nucleus_tumor_cell = 540;
+  real_t max_volume_new_tumor_cell = 2494;
+  /// Minimum volume of a tumor cell in μm³
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t min_volume_new_tumor_cell = 2494;
+  /// Default fraction of volume of the nucleus of a tumor cell. It is the target fraction and the fraction a new born tumor cell will have
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t default_fraction_of_volume_for_nucleus_tumor_cell = 0.21652;
   /// Default fraction of fluid volume in a new tumor cell
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_fraction_fluid_tumor_cell = 0.75;
@@ -430,6 +436,18 @@ struct SimParam : public ParamGroup {
   /// Standard deviation of the total volume of a new CAR-T cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t std_volume_new_cart_cell = 0;
+  /// Maximum volume of a new CAR-T cell in μm³
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t max_volume_new_cart_cell = 2494;
+  /// Minimum volume of a new CAR-T cell in μm³
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t min_volume_new_cart_cell = 2494;
+  /// Default fraction of volume not solid of a CAR-T cell.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t default_fraction_fluid_cart_cell = 0.75;
+  /// Default fraction of volume of the nucleus of a CAR-T cell
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t default_fraction_of_volume_for_nucleus_cart_cell = 0.21652;
   /// How often a CAR-T cell tries to kill an attached cancer cell in 1/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t kill_rate_cart = 0.06667;

From 0e1891786939838e140bea2c1872024a0b5690ec Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 11 Aug 2026 00:30:14 +0200
Subject: [PATCH 32/54] add parameter to avoid glucose diffusion on the z axis
 to model a 2D cylindrical tumor

---
 params.json                                 |  9 +++++----
 src/cart_tumor.cc                           |  9 ++++++---
 src/diffusion/diffusion_thomas_algorithm.cc |  6 ++++--
 src/diffusion/diffusion_thomas_algorithm.h  |  6 +++++-
 src/params/hyperparams.cc                   | 21 ++++++++++++++-------
 src/params/hyperparams.h                    | 16 ++++++++++++----
 test/test-diffusion.cc                      |  2 +-
 7 files changed, 47 insertions(+), 22 deletions(-)

diff --git a/params.json b/params.json
index de6a71b..12638ee 100644
--- a/params.json
+++ b/params.json
@@ -5,7 +5,8 @@
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": false,
+  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -40,10 +41,10 @@
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index e5edffd..df180d8 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -112,7 +112,8 @@ int Simulate(int argc, const char** argv) {
           kOxygen, "oxygen", sparam->diffusion_coefficient_oxygen,
           sparam->decay_constant_oxygen, sparam->resolution_grid_substances,
           sparam->dt_substances,
-          /*dirichlet_border=*/true);
+          /*dirichlet_border=*/true,
+          sparam->diffuse_oxygen_on_z_axis);
   rm->AddContinuum(oxygen_grid.release());
 
   // Boundary Conditions Dirichlet: simulating absorption or total loss at the
@@ -161,7 +162,8 @@ int Simulate(int argc, const char** argv) {
             sparam->diffusion_coefficient_immunostimulatory_factor,
             sparam->decay_constant_immunostimulatory_factor,
             sparam->resolution_grid_substances, sparam->dt_substances,
-            /*dirichlet_border=*/false);
+            /*dirichlet_border=*/false,
+            sparam->diffuse_immunostimulatory_factor_on_z_axis);
     rm->AddContinuum(immunostimulatory_factor_grid.release());
 
     // This is useless now but should be added this way in a future version of BioDynaMo.
@@ -178,7 +180,8 @@ int Simulate(int argc, const char** argv) {
             kGlucose, "glucose", sparam->diffusion_coefficient_glucose,
             sparam->decay_constant_glucose, sparam->resolution_grid_substances,
             sparam->dt_substances,
-            /*dirichlet_border=*/false);
+            /*dirichlet_border=*/false,
+            sparam->diffuse_glucose_on_z_axis);
     rm->AddContinuum(glucose_grid.release());
 
     // This is useless now but should be added this way in a future version of BioDynaMo.
diff --git a/src/diffusion/diffusion_thomas_algorithm.cc b/src/diffusion/diffusion_thomas_algorithm.cc
index 2fcfbed..1e9897f 100644
--- a/src/diffusion/diffusion_thomas_algorithm.cc
+++ b/src/diffusion/diffusion_thomas_algorithm.cc
@@ -42,7 +42,8 @@ DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(int substance_id,
                                                    std::string substance_name,
                                                    real_t dc, real_t mu,
                                                    int resolution, real_t dt,
-                                                   bool dirichlet_border)
+                                                   bool dirichlet_border,
+                                                   bool diffuse_on_z_axis)
     : DiffusionGrid(substance_id, std::move(substance_name), dc, mu,
                     resolution),
       resolution_(static_cast<int>(GetResolution())),
@@ -52,6 +53,7 @@ DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(int substance_id,
                                        ->bounded_space_length) /
                static_cast<real_t>(resolution_)),
       dirichlet_border_(dirichlet_border),
+      diffuse_on_z_axis_(diffuse_on_z_axis),
       jump_i_(1),
       jump_j_(resolution_),
       jump_(resolution_ * resolution_),
@@ -209,7 +211,7 @@ void DiffusionThomasAlgorithm::DiffuseChemical() {
   ApplyBoundaryConditionsIfNeeded();
 
   // Solve for Z-direction (direction = 2) if diffuse_on_z_axis is true
-  if (Simulation::GetActive()->GetParam()->Get<SimParam>()->diffuse_on_z_axis) {
+  if (diffuse_on_z_axis_) {
     SolveDirectionThomas(2);
     ApplyBoundaryConditionsIfNeeded();
   }
diff --git a/src/diffusion/diffusion_thomas_algorithm.h b/src/diffusion/diffusion_thomas_algorithm.h
index 261c304..c9c31fa 100644
--- a/src/diffusion/diffusion_thomas_algorithm.h
+++ b/src/diffusion/diffusion_thomas_algorithm.h
@@ -42,6 +42,7 @@ class DiffusionThomasAlgorithm : public DiffusionGrid {
       : resolution_(0),
         d_space_(0.0),
         dirichlet_border_(false),
+        diffuse_on_z_axis_(true),
         jump_i_(0),
         jump_j_(0),
         jump_(0),
@@ -53,7 +54,7 @@ class DiffusionThomasAlgorithm : public DiffusionGrid {
 
   DiffusionThomasAlgorithm(int substance_id, std::string substance_name,
                            real_t dc, real_t mu, int resolution, real_t dt,
-                           bool dirichlet_border);
+                           bool dirichlet_border, bool diffuse_on_z_axis);
 
   /// Concentration setters
   void SetConcentration(int x, int y, int z, real_t amount) {
@@ -140,6 +141,9 @@ class DiffusionThomasAlgorithm : public DiffusionGrid {
   /// Flag indicating Dirichlet boundary conditions
   bool dirichlet_border_;
 
+  /// Flag indicating whether to diffuse along the z-axis
+  bool diffuse_on_z_axis_;
+
   /// Index jump for i-direction (x-axis)
   int jump_i_;
 
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 05e3e3a..ffb1921 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -169,7 +169,9 @@ void SimParam::LoadParams(const std::string& filename) {
   } else {
     lateral_oxygen_production_max_z = -bounded_space_length/2;
   }
-  load_bool("diffuse_on_z_axis", diffuse_on_z_axis);
+  load_bool("diffuse_oxygen_on_z_axis", diffuse_oxygen_on_z_axis);
+  load_bool("diffuse_immunostimulatory_factor_on_z_axis", diffuse_immunostimulatory_factor_on_z_axis);
+  load_bool("diffuse_glucose_on_z_axis", diffuse_glucose_on_z_axis);
 
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
   load_double("decay_constant_oxygen", decay_constant_oxygen);
@@ -193,16 +195,16 @@ void SimParam::LoadParams(const std::string& filename) {
 
 
 
-  if (jfile.contains("diffuse_on_z_axis")) {
-    diffuse_on_z_axis = jfile["diffuse_on_z_axis"].get<bool>();
+  if (jfile.contains("diffuse_glucose_on_z_axis")) {
+    diffuse_glucose_on_z_axis = jfile["diffuse_glucose_on_z_axis"].get<bool>();
   } else {
     // if the tumor shape is cylindrical it should be set to false, otherwise it should be set to true
     if (tumor_shape == "cylinder") {
       // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-      diffuse_on_z_axis = false;
+      diffuse_glucose_on_z_axis = false;
     } else {
       // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-      diffuse_on_z_axis = true;
+      diffuse_glucose_on_z_axis = true;
     }
   }
 
@@ -503,8 +505,13 @@ void SimParam::PrintParams() const {
             << lateral_oxygen_production_min_z << "\n";
   std::cout << "Maximum z-coordinate for lateral oxygen production (micrometers): "
             << lateral_oxygen_production_max_z << "\n";
-  std::cout << "Whether to diffuse Chemicals on the z-axis: "
-            << (diffuse_on_z_axis ? "true" : "false") << "\n";
+  std::cout << "Whether to diffuse oxygen on the z-axis: "
+            << (diffuse_oxygen_on_z_axis ? "true" : "false") << "\n";
+  std::cout << "Whether to diffuse immunostimulatory factor on the z-axis: "
+            << (diffuse_immunostimulatory_factor_on_z_axis ? "true" : "false")
+            << "\n";
+  std::cout << "Whether to diffuse glucose on the z-axis: "
+            << (diffuse_glucose_on_z_axis ? "true" : "false") << "\n";
   std::cout << "Diffusion coefficient of oxygen (μm²/min): "
             << diffusion_coefficient_oxygen << "\n";
   std::cout << "Decay constant of oxygen (min⁻¹): " << decay_constant_oxygen
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 3aace00..cc122cb 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -187,10 +187,18 @@ struct SimParam : public ParamGroup {
   /// to also act as an oxygen-producing Dirichlet boundary.  By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_max_z = 500.0;
-  /// Wether the Thomas algortithm should also diffuse the Chemicals in the z-axis or not. 
-  /// If false, the diffusion will only be done in the x and y axis.
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  bool diffuse_on_z_axis = true;
+  /// Wether the Thomas algortithm should also diffuse the oxygen Chemical in the z-axis or not. 
+  /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_oxygen_on_z_axis = true;
+  /// Wether the Thomas algortithm should also diffuse the immunostimulatory_factor Chemical in the z-axis or not.
+    /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+    bool diffuse_immunostimulatory_factor_on_z_axis = true;
+  /// Wether the Thomas algortithm should also diffuse the glucose Chemical in the z-axis or not. By default it will be true if the tumor shape is spherical and false if the tumor shape is cylindrical.
+    /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
+    // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+    bool diffuse_glucose_on_z_axis = true;
   /// Diffusion coefficient of oxygen in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_oxygen = 100000;
diff --git a/test/test-diffusion.cc b/test/test-diffusion.cc
index a8e3be0..3ddc6a7 100644
--- a/test/test-diffusion.cc
+++ b/test/test-diffusion.cc
@@ -21,7 +21,7 @@ class DiffusionThomasAlgorithmTest : public ::testing::Test {
 
 // case: valid index computes correctly
 TEST_F(DiffusionThomasAlgorithmTest, GetBoxIndexValidCoordinates) {
-  DiffusionThomasAlgorithm grid(0, "test", 1.0, 0.1, 10, 0.01, false);
+  DiffusionThomasAlgorithm grid(0, "test", 1.0, 0.1, 10, 0.01, false, true);
   EXPECT_EQ(grid.GetBoxIndex(4, 3, 2), static_cast<size_t>(234));
   // z * res * res + y * res + x = 2*100 + 3*10 + 4 = 234
 }

From 4bc6a2094f573686d8d29b58cadab7495ed80353 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 12 Aug 2026 12:50:12 +0200
Subject: [PATCH 33/54] max radius allowed for a cylindrical or spherical
 bounded space

---
 README.md                                     |   1 -
 .../experiment_80/optuna_results.csv          |  10 ++
 abm_calibration/optimize.py                   |  34 ++++---
 bdm.toml                                      |   4 +-
 draft/analysis_radius_atribute.py             |   6 +-
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 43737 -> 36447 bytes
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 58552 -> 58452 bytes
 draft/generatecsv.py                          |   2 +-
 .../num_alive_cart_cells_radius_vs_radius.png | Bin 0 -> 39139 bytes
 draft/num_dead_cells_radius_vs_radius.png     | Bin 62812 -> 58788 bytes
 params.json                                   |  16 +++-
 src/agents/cart_cell.cc                       |  53 +++++++++--
 src/agents/tumor_cell.cc                      |  50 ++++++++--
 src/cart_tumor.cc                             |  32 +++----
 src/params/hyperparams.cc                     |  39 ++++----
 src/params/hyperparams.h                      |  19 +++-
 src/utils/utils_aux.cc                        |  86 ++++++++++++------
 src/utils/utils_aux.h                         |   3 +-
 18 files changed, 242 insertions(+), 113 deletions(-)
 create mode 100644 abm_calibration/experiment_80/optuna_results.csv
 create mode 100644 draft/num_alive_cart_cells_radius_vs_radius.png

diff --git a/README.md b/README.md
index e835d5c..e871e43 100644
--- a/README.md
+++ b/README.md
@@ -308,7 +308,6 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | `length_box_mechanics` | 22 | μm | Box length for spatial partitioning in force calculations |
 | `dnew` | 0.15 | - | Adams-Bashforth coefficient for current velocity (dt × 1.5) |
 | `dold` | -0.05 | - | Adams-Bashforth coefficient for previous velocity (dt × -0.5) |
-| `max_squared_distance_cart_moving_towards_tumor_cell` | 317.746 | μm² | Maximum squared distance for CAR-T adhesion-only movement |
 
 #### Tumor Cell Parameters
 
diff --git a/abm_calibration/experiment_80/optuna_results.csv b/abm_calibration/experiment_80/optuna_results.csv
new file mode 100644
index 0000000..1f6fb13
--- /dev/null
+++ b/abm_calibration/experiment_80/optuna_results.csv
@@ -0,0 +1,10 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_oxygen_rate,state
+0,107.0,2026-08-11 00:37:44.877595,2026-08-11 01:43:27.718415,0 days 01:05:42.840820,1.58e-05,COMPLETE
+1,483.0,2026-08-11 01:43:27.746468,2026-08-11 02:49:01.174641,0 days 01:05:33.428173,2.74e-05,COMPLETE
+2,444.0,2026-08-11 02:49:01.198159,2026-08-11 03:54:21.451553,0 days 01:05:20.253394,2.45e-05,COMPLETE
+3,250.0,2026-08-11 03:54:21.475363,2026-08-11 04:59:14.351466,0 days 01:04:52.876103,2.1600000000000003e-05,COMPLETE
+4,32.0,2026-08-11 04:59:14.376309,2026-08-11 06:05:06.206943,0 days 01:05:51.830634,1.2900000000000002e-05,COMPLETE
+5,102.0,2026-08-11 06:05:06.232586,2026-08-11 07:12:33.858321,0 days 01:07:27.625735,1.2900000000000002e-05,COMPLETE
+6,226.0,2026-08-11 07:12:33.944906,2026-08-11 08:18:45.206508,0 days 01:06:11.261602,1e-05,COMPLETE
+7,592.0,2026-08-11 08:18:45.231609,2026-08-11 09:23:52.867017,0 days 01:05:07.635408,2.74e-05,COMPLETE
+8,,2026-08-11 09:23:52.890639,,,2.1600000000000003e-05,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 7ef749d..5132fca 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,7 +29,7 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 70
+EXPERIMENT_ID = 80
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
@@ -59,8 +59,8 @@ def run_ABM(params, seed):
     #     "basal_death_probability_cancer_cells"
     # ]
 
-    maximum_death_lack_of_glucose_rate = params[
-        "maximum_death_lack_of_glucose_rate"
+    maximum_necrosis_lack_of_oxygen_rate = params[
+        "maximum_necrosis_lack_of_oxygen_rate"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
@@ -70,14 +70,15 @@ def run_ABM(params, seed):
     # ]
 
     # Change this configuration for the ABM run
-    config = {
+    config ={
   "seed": seed,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": False,
+  "diffuse_oxygen_on_z_axis": False,
+  "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -89,9 +90,13 @@ def run_ABM(params, seed):
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
   "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 67.25,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
@@ -101,17 +106,18 @@ def run_ABM(params, seed):
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
   "treatment": {
     "0": 0
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": maximum_necrosis_lack_of_oxygen_rate,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
@@ -128,7 +134,7 @@ def run_ABM(params, seed):
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": maximum_death_lack_of_glucose_rate,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
   "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
 }
     # Save the config parameters for the run to the params.json file
@@ -198,7 +204,7 @@ def compute_error():
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
     dead_cells_4320 = row["tumor_cells_type5_dead"]
-    dead_cells_4320_target = 2130
+    dead_cells_4320_target = 2870
     # total_tumor_cells_4320 = row["num_tumor_cells"]
     # target_total_tumor_cells_4320 = 4143.0
 
@@ -337,7 +343,7 @@ def objective(trial):
     params = {
         # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.00015, 0.000186, step=0.000002),
+        "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00001, 0.00003, step=0.0000029),
         # "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
     }
 
diff --git a/bdm.toml b/bdm.toml
index 577e93e..a74f641 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,6 +1,6 @@
 [visualization]
-export = false
-interval = 300
+export = true
+interval = 1000
 
 [[visualize_agent]]
 name = "TumorCell"
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 4953c8e..07f2921 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -30,9 +30,9 @@
 # MINUTE = 3240 # change this to the minute you want to plot
 MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-ATTRIBUTE = "average_oxygen_cancer_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
-DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
+# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius",
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 # APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
index e53b6fd17b56a85e2afe7b7fd4b2cc73e8223ae2..42f5dd04032e4615f66b552da625df7f92a0049a 100644
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diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 4d39ad7..04d8a54 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 70
+EXPERIMENT_ID = 80
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/num_alive_cart_cells_radius_vs_radius.png b/draft/num_alive_cart_cells_radius_vs_radius.png
new file mode 100644
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diff --git a/params.json b/params.json
index 12638ee..a8018d8 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 54,
+  "seed": 42,
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -36,7 +36,7 @@
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "treatment": {
-    "0": 0
+    "0": 5600
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
@@ -45,13 +45,15 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000129,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
   "add_immunostimulatory_factor": false,
+  "migration_bias_cart": 0.0,
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
@@ -63,5 +65,9 @@
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
   "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "dt_substances": 4320,
+  "migration_speed_cart": 25.0,
+  "elastic_constant_cart": 0.0,
+  "adhesion_rate_cart": 0
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index de42b91..56f24f7 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -273,8 +273,7 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
             // is the adhesion force to avoid CAR-T non-stop pushing tumor
             // cells. In case of being closer than
             // sparams->max_squared_distance_cart_moving_towards_tumor_cell
-            // there is a probability kProbabilityPushing for the CAR-T to keep
-            // pushing the tumor cell
+            // CAR-T to keep stop pushing the tumor cell
             if (sq_norm_displac >
                 sparams->max_squared_distance_cart_moving_towards_tumor_cell) {
               translation_velocity_on_point_mass[0] +=
@@ -306,18 +305,52 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
-  // Clamp the movement if it surpasses the z boundaries.
-  const double current_z = current_position[2];
-  double& movement_z = movement_at_next_step[2];
+   // Clamp the movement if it surpasses the more restricted specified boundaries.
   const double min_z = sparams->bounded_space_min_allowed_z;
   const double max_z = sparams->bounded_space_max_allowed_z;
-  const double next_z = current_z + movement_z;
-  if (next_z < min_z) {
-      movement_z = min_z - current_z;
-  } else if (next_z > max_z) {
-      movement_z = max_z - current_z;
+  const double max_r_sq = sparams->bounded_space_max_allowed_radius_squared;
+
+  const Real3 next_position = current_position + movement_at_next_step;
+  real_t radi_sq = 0.0;
+  switch (sparams->tumor_shape) {
+  case TumorShape::kCylinder: {
+    // Check the z coordinate
+    if (next_position[2] < min_z) {
+      movement_at_next_step[2] = min_z - current_position[2];
+    } else if (next_position[2] > max_z) {
+      movement_at_next_step[2] = max_z - current_position[2];
+    }
+    // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1];
+    if (radi_sq>max_r_sq) {
+      // Scale down the movement to stay within the allowed radius
+      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+      movement_at_next_step[0] *= scale_factor;
+      movement_at_next_step[1] *= scale_factor;
+    }
+    break;
   }
 
+  case TumorShape::kSphere: {
+    // Consider all three dimensions for spherical radius
+    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1] + next_position[2] * next_position[2];
+    if (radi_sq>max_r_sq) {
+      // Scale down the movement to stay within the allowed radius
+      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+      movement_at_next_step[0] *= scale_factor;
+      movement_at_next_step[1] *= scale_factor;
+      movement_at_next_step[2] *= scale_factor;
+    }
+    break;
+  }
+
+  default:
+    Log::Error(
+        "TumorCell::CalculateDisplacement",
+        "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+    break;
+}
+
   // Displacement
   return movement_at_next_step;
 }
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 0f0787c..fd1c560 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -327,19 +327,53 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
-  // Clamp the movement if it surpasses the z boundaries.
+  // Clamp the movement if it surpasses the more restricted specified boundaries.
   Real3 current_position = GetPosition();
-  const double current_z = current_position[2];
-  double& movement_z = movement_at_next_step[2];
   const double min_z = sparams->bounded_space_min_allowed_z;
   const double max_z = sparams->bounded_space_max_allowed_z;
-  const double next_z = current_z + movement_z;
-  if (next_z < min_z) {
-      movement_z = min_z - current_z;
-  } else if (next_z > max_z) {
-      movement_z = max_z - current_z;
+  const double max_r_sq = sparams->bounded_space_max_allowed_radius_squared;
+
+  const Real3 next_position = current_position + movement_at_next_step;
+  real_t radi_sq = 0.0;
+  switch (sparams->tumor_shape) {
+  case TumorShape::kCylinder: {
+    // Check the z coordinate
+    if (next_position[2] < min_z) {
+      movement_at_next_step[2] = min_z - current_position[2];
+    } else if (next_position[2] > max_z) {
+      movement_at_next_step[2] = max_z - current_position[2];
+    }
+    // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1];
+    if (radi_sq>max_r_sq) {
+      // Scale down the movement to stay within the allowed radius
+      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+      movement_at_next_step[0] *= scale_factor;
+      movement_at_next_step[1] *= scale_factor;
+    }
+    break;
   }
 
+  case TumorShape::kSphere: {
+    // Consider all three dimensions for spherical radius
+    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1] + next_position[2] * next_position[2];
+    if (radi_sq>max_r_sq) {
+      // Scale down the movement to stay within the allowed radius
+      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+      movement_at_next_step[0] *= scale_factor;
+      movement_at_next_step[1] *= scale_factor;
+      movement_at_next_step[2] *= scale_factor;
+    }
+    break;
+  }
+
+  default:
+    Log::Error(
+        "TumorCell::CalculateDisplacement",
+        "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+    break;
+}
+
   // Displacement
   return movement_at_next_step;
 }
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index df180d8..599aa8a 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -91,18 +91,7 @@ int Simulate(int argc, const char** argv) {
   ResourceManager* rm = Simulation::GetActive()->GetResourceManager();
 
   // Obtain the tumor shape from the parameters
-  const std::string tumor_shape = sparam->tumor_shape;
-  bool is_tumor_shape_spherical = false;
-  bool is_tumor_shape_cylindrical = false;
-  if (tumor_shape == "sphere") {
-    is_tumor_shape_spherical = true;
-  } else if (tumor_shape == "cylinder") {
-    is_tumor_shape_cylindrical = true;
-  } else {
-    Log::Error("Simulate", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-    // Exit with an error code
-    return 1;
-  }   
+  const TumorShape tumor_shape = sparam->tumor_shape;
 
   // Oxygen
   // substance_id, name, diffusion_coefficient, decay_constant, resolution,
@@ -192,13 +181,13 @@ int Simulate(int argc, const char** argv) {
     const real_t squared_radius_glucose_initialization = sparam->max_radius_glucose_initialization*sparam->max_radius_glucose_initialization;
     // Initialize oxygen voxels
      ModelInitializer::InitializeSubstance(
-        kGlucose, [initial_glucose_level, min_initial_z_substances, max_initial_z_substances, is_tumor_shape_spherical, is_tumor_shape_cylindrical, squared_radius_glucose_initialization](real_t x, real_t y, real_t z) {
+        kGlucose, [initial_glucose_level, min_initial_z_substances, max_initial_z_substances, tumor_shape, squared_radius_glucose_initialization](real_t x, real_t y, real_t z) {
         if (z <= max_initial_z_substances &&
             z >= min_initial_z_substances) { 
-            if(is_tumor_shape_spherical && (x*x + y*y + z*z <= squared_radius_glucose_initialization)){
+            if(tumor_shape==TumorShape::kSphere && (x*x + y*y + z*z <= squared_radius_glucose_initialization)){
                 // Its spherical and the voxel is within the maximun spherical radius
                 return initial_glucose_level;
-            } else if(is_tumor_shape_cylindrical && (x*x + y*y <= squared_radius_glucose_initialization)){
+            } else if(tumor_shape==TumorShape::kCylinder && (x*x + y*y <= squared_radius_glucose_initialization)){
                 // Its cylindrical and the voxel is within the maximun cylindrical radius
                 return initial_glucose_level;
             }
@@ -210,17 +199,24 @@ int Simulate(int argc, const char** argv) {
   
   // Tumor cells initialization
   std::vector<Real3> positions;
-  if (is_tumor_shape_spherical) {
+  switch (tumor_shape) {
+  case TumorShape::kSphere: {
     // One spherical tumor of radius initial_spherical_tumor_radius in the center of the
     // simulation space
     positions = CreateSphereOfTumorCells(sparam->initial_spherical_tumor_radius);
-  } else if (is_tumor_shape_cylindrical) {
+    break;
+  }
+
+  case TumorShape::kCylinder: {
     // One cylindrical tumor of radius initial_spherical_tumor_radius and height
     // cylindrical_tumor_height in the center of the simulation space
     positions = CreateCylinderOfTumorCells(
         sparam->cylindrical_tumor_radius, sparam->cylindrical_tumor_height,
         sparam->initial_number_of_cylindrical_tumor_cells);
-  } else {
+break;
+  }
+
+  default:
     Log::Error("Simulate", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
     // Exit with an error code
     return 1;
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index ffb1921..fafdc97 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -79,7 +79,15 @@ void SimParam::LoadParams(const std::string& filename) {
   load_int("seed", seed);
   load_bool("output_performance_statistics", output_performance_statistics);
   load_int("total_minutes_to_simulate", total_minutes_to_simulate);
-  load_string("tumor_shape", tumor_shape);
+
+  std::string tumor_shape_string;
+  load_string("tumor_shape", tumor_shape_string);
+  if (jfile.contains("tumor_shape")) {
+    tumor_shape_string = jfile["tumor_shape"].get<std::string>();
+if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else if (tumor_shape_string == "cylinder") { tumor_shape = TumorShape::kCylinder; } else { tumor_shape = TumorShape::kSphere; Log::Error( "SimParam::LoadParams", "Unknown tumor shape '" + tumor_shape_string + "'. It should be either 'sphere' or 'cylinder'. Loading default value ('sphere') instead"); }
+
+  }
+  
   load_int("initial_number_of_cylindrical_tumor_cells",
            initial_number_of_cylindrical_tumor_cells);
   load_int("bounded_space_length", bounded_space_length);
@@ -98,6 +106,13 @@ void SimParam::LoadParams(const std::string& filename) {
   } else {
     bounded_space_max_allowed_z = bounded_space_length/2;
   }
+
+  if (jfile.contains("bounded_space_max_allowed_radius")) {
+    bounded_space_max_allowed_radius = jfile["bounded_space_max_allowed_radius"].get<double>();
+  } else {
+    // if it is not defined we assign the whole length of the bounded space to avoid any restrictions
+    bounded_space_max_allowed_radius = bounded_space_length;
+  }
   
   if (jfile.contains("treatment")) {
     treatment.clear();
@@ -199,7 +214,7 @@ void SimParam::LoadParams(const std::string& filename) {
     diffuse_glucose_on_z_axis = jfile["diffuse_glucose_on_z_axis"].get<bool>();
   } else {
     // if the tumor shape is cylindrical it should be set to false, otherwise it should be set to true
-    if (tumor_shape == "cylinder") {
+    if (tumor_shape == TumorShape::kCylinder) {
       // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
       diffuse_glucose_on_z_axis = false;
     } else {
@@ -366,6 +381,9 @@ void SimParam::LoadParams(const std::string& filename) {
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances);
 
+  // Squared max allowed radius
+  bounded_space_max_allowed_radius_squared = bounded_space_max_allowed_radius * bounded_space_max_allowed_radius;
+
   // 1-migration_bias_cart
   migration_one_minus_bias_cart = 1.0 - migration_bias_cart;
   // Probability of a CAR-T cell to migrate in a given
@@ -424,22 +442,7 @@ void SimParam::PrintParams() const {
             << (output_performance_statistics ? "true" : "false") << "\n";
   std::cout << "Total simulation time in minutes (30 days): "
             << total_minutes_to_simulate << "\n";
-  std::cout << "Tumor shape: " << tumor_shape << "\n";
-  if (tumor_shape == "spherical") {
-    std::cout << "Initial radius of the spherical tumor (micrometers): "
-              << initial_spherical_tumor_radius << "\n";
-  } else if (tumor_shape == "cylindrical") {
-    std::cout << "Initial radius of the cylindrical tumor (micrometers): "
-              << cylindrical_tumor_radius << "\n";
-    std::cout << "Initial height of the cylindrical tumor (micrometers): "
-              << cylindrical_tumor_height << "\n";
-    std::cout << "Min allowed Z coordinate for cells (micrometers): "
-              << bounded_space_min_allowed_z << "\n";
-    std::cout << "Max allowed Z coordinate for cells (micrometers): "
-              << bounded_space_max_allowed_z << "\n";
-    std::cout << "Initial number of cylindrical tumor cells: "
-              << initial_number_of_cylindrical_tumor_cells << "\n";
-  }
+switch (tumor_shape) { case TumorShape::kSphere: std::cout << "Tumor shape: 'sphere' \n"; std::cout << "Initial radius of the spherical tumor (micrometers): " << initial_spherical_tumor_radius << "\n"; break; case TumorShape::kCylinder: std::cout << "Tumor shape: 'cylinder' \n"; std::cout << "Initial radius of the cylindrical tumor (micrometers): " << cylindrical_tumor_radius << "\n"; std::cout << "Initial height of the cylindrical tumor (micrometers): " << cylindrical_tumor_height << "\n"; std::cout << "Min allowed Z coordinate for cells (micrometers): " << bounded_space_min_allowed_z << "\n"; std::cout << "Max allowed Z coordinate for cells (micrometers): " << bounded_space_max_allowed_z << "\n"; std::cout << "Max allowed radius for cells (micrometers): " << bounded_space_max_allowed_radius << "\n"; std::cout << "Initial number of cylindrical tumor cells: " << initial_number_of_cylindrical_tumor_cells << "\n"; break; }
   std::cout << "Length of the bounded space (micrometers): "
             << bounded_space_length << "\n\n";
 
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index cc122cb..8bb7cd0 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -52,6 +52,9 @@ constexpr real_t kMinutesInAnHour = 60.0;
 /// Hours in a day
 constexpr real_t kHoursInADay = 24.0;
 
+/// Enum for tumor shapes
+enum class TumorShape { kSphere, kCylinder };
+
 /// Contains the default values of the hyperparameters used in the simulation.
 struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(modernize-type-traits,llvm-else-after-return,readability-else-after-return,cppcoreguidelines-owning-memory)
@@ -81,8 +84,9 @@ struct SimParam : public ParamGroup {
   int bounded_space_length = 1000;
 
   /// Tumor topology
-  /// Tumor shape: "sphere" or "cylinder"
-  std::string tumor_shape = "sphere";
+  /// Tumor shape read as "cylinder" or "sphere" from the JSON file
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  TumorShape tumor_shape = TumorShape::kSphere;
   /// Initial radius of the spherical tumor (group of cancer cells) in
   /// micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
@@ -93,12 +97,15 @@ struct SimParam : public ParamGroup {
   /// Initial height of the cylindrical tumor in micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t cylindrical_tumor_height = 100;
-  /// Min allowed Z coordinate for cells. Used for cylindrical tumors with phisical barriers. By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  /// Min allowed Z coordinate for cells in cylindrical tumors with phisical barriers. By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_min_allowed_z = -500;
-  /// Max allowed Z coordinate for cells. Used for cylindrical tumors with phisical barriers. By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
+  /// Max allowed Z coordinate for cells in cylindrical tumors with phisical barriers. By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_max_allowed_z = 500;
+  /// Max allowed radius for cells meassured from the center of the tumor and considering the z-coordinate depending wether it has a cylindrical or spherical shape.  By default it is automatically set to bounded_space_length to avoid any restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t bounded_space_max_allowed_radius = 1000;
   /// Initial number of cylindrical tumor cells
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int initial_number_of_cylindrical_tumor_cells = 2800;
@@ -505,6 +512,10 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t voxel_volume = 8000;
 
+  /// Squared max allowed radius for bounded space in μm²
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t bounded_space_max_allowed_radius_squared = 1000000;
+
   /// 1-migration_bias_cart
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t migration_one_minus_bias_cart = 0.5;
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index f33cd5f..b9b29b4 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -121,9 +121,9 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 
 // Function to compute the number of tumor cells of each type, the radius of the
 // tumor, the number of alive and dead cart cells, the average oncoprotein level, the average oxygen level of the
-// cancer cells, the average oxygen level of all cells, the average glucose level of the cancer cells and the average glucose level of all cells. Only considering cells within the specified inner and outer radius.
+// cancer cells, the average oxygen level of all cells, the average glucose level of the cancer cells, the average glucose level of all cells and the average radius distance from the center of the tumor of the living cart cells. Only considering cells within the specified inner and outer radius.
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t, real_t, real_t>
+           real_t, real_t, real_t, real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t inner_radius_squared = inner_radius_considered * inner_radius_considered;
   real_t outer_radius_squared = outer_radius_considered * outer_radius_considered;
@@ -154,22 +154,29 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t acumulator_oxygen_all_cells = 0.0;
   real_t acumulator_glucose_cancer_cells = 0.0;
   real_t acumulator_glucose_all_cells = 0.0;
+  real_t acumulator_squared_radius_distance_living_cart_cells = 0.0;
 
-  bool tumor_shape_is_cylindrical = sparams->tumor_shape == "cylinder";
-  bool tumor_shape_is_spherical = sparams->tumor_shape == "sphere";
+  TumorShape tumor_shape= sparams->tumor_shape;
 
   rm->ForEachAgent([&](const Agent* agent) {
     // Compute the distance to the center depending on the tumor shape
     const Real3& pos = agent->GetPosition();
     real_t dist_sq = 0.0;
-    if (tumor_shape_is_cylindrical) {
-      // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-      dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
-    } else if (tumor_shape_is_spherical) {
-      // Consider all three dimensions for spherical radius
-      dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];  
-    } else{
+switch (tumor_shape)
+        {
+       case TumorShape::kCylinder:{ 
+          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
+          dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
+          break;
+        }
+        case TumorShape::kSphere:{
+          // Consider all three dimensions for spherical radius
+          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];   
+          break;
+        }
+        default:
       Log::Error("AnalyzeTumor", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+      break;
     } 
 
     //If the cell is outside the considered radius range, skip it
@@ -233,6 +240,7 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       }
       if (cart_cell->GetState() == CarTCellState::kAlive) {
         num_alive_cart++;
+        acumulator_squared_radius_distance_living_cart_cells += dist_sq;
       } else if (cart_cell->GetState() == CarTCellState::kApoptotic) {
         //Dead CART cell
         num_dead_cart++;
@@ -261,12 +269,16 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
       (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0 && glucose_dgrid != nullptr)
           ? (acumulator_glucose_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
           : 0.0;
+
+  const real_t average_radius_distance_living_cart_cells =
+      (num_alive_cart > 0) ? std::sqrt(acumulator_squared_radius_distance_living_cart_cells / num_alive_cart) : 0.0;
+  
   return {total_num_tumor_cells, num_tumor_cells_type1,
           num_tumor_cells_type2, num_tumor_cells_type3,
           num_tumor_cells_type4, num_tumor_cells_type5_dead,
           num_alive_cart, num_dead_cart, std::sqrt(max_dist_sq),
           average_oncoprotein,   average_oxygen_cancer_cells, average_oxygen_all_cells,
-          average_glucose_cancer_cells, average_glucose_all_cells};
+          average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells};
 }
 
 // Function to output summary CSV
@@ -291,7 +303,7 @@ void OutputSummary::operator()() {
             << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
                "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
                "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_"
-               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells\n";  // Header
+               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells,average_radius_distance_living_cart_cells\n";  // Header
                                                                           // for
                                                                           // CSV
                                                                           // file
@@ -312,12 +324,13 @@ void OutputSummary::operator()() {
       real_t average_oxygen_all_cells = 0.0;
       real_t average_glucose_cancer_cells = 0.0;
       real_t average_glucose_all_cells = 0.0;
+      real_t average_radius_distance_living_cart_cells = 0.0;
       // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
                num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-               average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
+               average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
       size_t total_num_cells = simulation->GetResourceManager()->GetNumAgents();
 
       // If a dosage is administred this exact time the numbers are not seen in
@@ -342,7 +355,7 @@ void OutputSummary::operator()() {
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
            << num_alive_cart << ","<< num_dead_cart << "," << average_oncoprotein << ","
            << average_oxygen_cancer_cells << "," << average_oxygen_all_cells << "," 
-           << average_glucose_cancer_cells << "," << average_glucose_all_cells << "\n";
+           << average_glucose_cancer_cells << "," << average_glucose_all_cells << ","<<average_radius_distance_living_cart_cells<< "\n";
     }
 
     if (sparams->output_information_dependent_on_radius) {
@@ -382,6 +395,7 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
         file << ",average_oxygen_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
         file << ",average_glucose_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
         file << ",average_glucose_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
+        file << ",average_radius_distance_living_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
       }
       // End of header line
       file << "\n";
@@ -410,12 +424,13 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
       real_t average_oxygen_all_cells = 0.0;
       real_t average_glucose_cancer_cells = 0.0;
       real_t average_glucose_all_cells = 0.0;
+      real_t average_radius_distance_living_cart_cells = 0.0;
       // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
               num_tumor_cells_type2, num_tumor_cells_type3,
               num_tumor_cells_type4, num_tumor_cells_type5_dead,
               num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-              average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
+              average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
 
       const int num_alive_tumor_cells = num_tumor_cells_type1 + num_tumor_cells_type2 + num_tumor_cells_type3 + num_tumor_cells_type4;
       const int num_alive_cells = num_alive_cart + num_alive_tumor_cells;
@@ -439,7 +454,8 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
             << "," << average_oxygen_cancer_cells
             << "," << average_oxygen_all_cells
             << "," << average_glucose_cancer_cells
-            << "," << average_glucose_all_cells;
+            << "," << average_glucose_all_cells
+            << "," << average_radius_distance_living_cart_cells;
     }  
     // End of line for the current step
     file << "\n";
@@ -472,22 +488,28 @@ void SpawnCart::operator()() {
     // compute tumor radius
     ResourceManager* rm = simulation->GetResourceManager();
     real_t max_dist_sq = 0.0;
-    bool tumor_shape_is_cylindrical = sparams->tumor_shape == "cylinder";
-    bool tumor_shape_is_spherical = sparams->tumor_shape == "sphere";
+    TumorShape tumor_shape = sparams->tumor_shape;
 
     rm->ForEachAgent([&](const Agent* agent) {
       if (const auto* cancer_cell = dynamic_cast<const TumorCell*>(agent)) {
         // Compute the distance to the center depending on the tumor shape
         real_t dist_sq = 0.0;
         const Real3& pos = cancer_cell->GetPosition();
-        if (tumor_shape_is_cylindrical) {
+        switch (tumor_shape)
+        {
+       case TumorShape::kCylinder:{ 
           // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
           dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
-        } else if (tumor_shape_is_spherical) {
+          break;
+        }
+        case TumorShape::kSphere:{
           // Consider all three dimensions for spherical radius
-          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];  
-        } else{
+          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];   
+          break;
+        }
+        default:
           Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+          break;
         }
         if (dist_sq > max_dist_sq) {
           max_dist_sq = dist_sq;
@@ -511,6 +533,7 @@ void SpawnCart::operator()() {
     const real_t max_b = param->max_bound;
     const real_t min_bz = sparams->bounded_space_min_allowed_z;
     const real_t max_bz = sparams->bounded_space_max_allowed_z;
+    const real_t max_r_sq = sparams->bounded_space_max_allowed_radius_squared;
     real_t px = 0.0;
     real_t py = 0.0;
     real_t pz = 0.0;
@@ -524,16 +547,23 @@ void SpawnCart::operator()() {
         px = rng->Uniform(min_b, max_b);
         py = rng->Uniform(min_b, max_b);
         pz = rng->Uniform(min_bz, max_bz);
-        if (tumor_shape_is_cylindrical) {
+        switch (tumor_shape)
+        {
+       case TumorShape::kCylinder:{ 
           // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
           radi_sq = px * px + py * py; 
-        } else if (tumor_shape_is_spherical) {
+          break;
+        }
+        case TumorShape::kSphere:{
           // Consider all three dimensions for spherical radius
           radi_sq = px * px + py * py + pz * pz; 
-        } else{
+          break;
+        }
+        default:
           Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-        } 
-        if (radi_sq >= minimum_squared_radius) {
+          break;
+        }
+        if (radi_sq >= minimum_squared_radius && radi_sq<=max_r_sq) {
           break;
         }
       }
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index 9de9604..9250380 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -90,8 +90,9 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 ///   - Average oxygen level across all cells
 ///   - Average glucose level across all tumor cells
 ///   - Average glucose level across all cells
+///   - Average radial position of the living cart cells from the tumor center
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t, real_t, real_t>
+           real_t, real_t, real_t, real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered);
 
 /// Generates a random direction unitary vector

From 5ddf9c38010861ecf6d68ed65c2f14171ee54438 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 18 Aug 2026 22:44:41 +0200
Subject: [PATCH 34/54] new parameters for treatment under normoxia

---
 README.md                                     |   2 +-
 .../experiment_101/optuna_results.csv         |  24 ++++++
 .../experiment_90/optuna_results.csv          |  15 ++++
 abm_calibration/optimize.py                   |  53 ++++++++-----
 bdm.toml                                      |   2 +-
 draft/analysis_radius_atribute.py             |  19 +++--
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 36447 -> 36950 bytes
 ...condig_saturday_consumption_cart15_08.json |  73 ++++++++++++++++++
 draft/config_13_08_cart_migrattion.json       |  72 +++++++++++++++++
 draft/config_friday_14_08.json                |  73 ++++++++++++++++++
 draft/generatecsv.py                          |   2 +-
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 36478 -> 0 bytes
 .../num_alive_cart_cells_radius_vs_radius.png | Bin 39139 -> 45782 bytes
 draft/num_alive_cells_radius_vs_radius.png    | Bin 49468 -> 0 bytes
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 0 -> 59545 bytes
 params.json                                   |  23 +++---
 src/agents/cart_cell.cc                       |  18 +++--
 src/agents/cart_cell.h                        |   8 +-
 src/cart_tumor.cc                             |   2 +-
 .../cylinder_wall_boundary_condition.h        |   2 +-
 src/diffusion/diffusion_thomas_algorithm.h    |   2 +-
 src/forces/forces_tumor_cart.h                |   2 +-
 src/params/hyperparams.cc                     |  41 +++++++---
 src/params/hyperparams.h                      |  18 +++--
 24 files changed, 384 insertions(+), 67 deletions(-)
 create mode 100644 abm_calibration/experiment_101/optuna_results.csv
 create mode 100644 abm_calibration/experiment_90/optuna_results.csv
 create mode 100644 draft/condig_saturday_consumption_cart15_08.json
 create mode 100644 draft/config_13_08_cart_migrattion.json
 create mode 100644 draft/config_friday_14_08.json
 delete mode 100644 draft/no_margin_average_glucose_all_cells_radius_vs_radius.png
 delete mode 100644 draft/num_alive_cells_radius_vs_radius.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png

diff --git a/README.md b/README.md
index e871e43..fa7e27a 100644
--- a/README.md
+++ b/README.md
@@ -360,7 +360,7 @@ These are all the other hyperparameters that are not adviced to be modified unle
 
 | Parameter | Default Value | Units | Description |
 |-----------|---------------|-------|-------------|
-| `average_maximum_time_untill_apoptosis_cart` | 12342.86 | minutes | Average CAR-T cell lifespan |
+| `average_maximum_time_until_apoptosis_cart` | 12342.86 | minutes | Average CAR-T cell lifespan |
 | `default_oxygen_consumption_cart` | 1 | 1/min | Baseline oxygen consumption rate of CAR-T cells |
 | `default_volume_new_cart_cell` | 2494 | μm³ | Total volume of newly created CAR-T cell |
 | `kill_rate_cart` | 0.06667 | min⁻¹ | Rate at which CAR-T attempts to kill attached tumor cell |
diff --git a/abm_calibration/experiment_101/optuna_results.csv b/abm_calibration/experiment_101/optuna_results.csv
new file mode 100644
index 0000000..b350ecc
--- /dev/null
+++ b/abm_calibration/experiment_101/optuna_results.csv
@@ -0,0 +1,24 @@
+number,value,datetime_start,datetime_complete,duration,params_kill_rate_cart,state
+0,10.0,2026-08-13 23:43:36.779075,2026-08-14 00:11:53.440382,0 days 00:28:16.661307,0.375,COMPLETE
+1,27.0,2026-08-14 00:11:53.469853,2026-08-14 00:40:09.372921,0 days 00:28:15.903068,0.9500000000000001,COMPLETE
+2,7.0,2026-08-14 00:40:09.397456,2026-08-14 01:08:26.212224,0 days 00:28:16.814768,0.732,COMPLETE
+3,11.0,2026-08-14 01:08:26.238753,2026-08-14 01:36:43.388636,0 days 00:28:17.149883,0.599,COMPLETE
+4,19.0,2026-08-14 01:36:43.413839,2026-08-14 02:05:00.836644,0 days 00:28:17.422805,0.156,COMPLETE
+5,19.0,2026-08-14 02:05:00.866483,2026-08-14 02:33:22.392259,0 days 00:28:21.525776,0.156,COMPLETE
+6,36.0,2026-08-14 02:33:22.420882,2026-08-14 03:01:44.440903,0 days 00:28:22.020021,0.059000000000000004,COMPLETE
+7,19.0,2026-08-14 03:01:44.465930,2026-08-14 03:30:06.788806,0 days 00:28:22.322876,0.866,COMPLETE
+8,19.0,2026-08-14 03:30:06.813358,2026-08-14 03:58:22.239418,0 days 00:28:15.426060,0.601,COMPLETE
+9,12.0,2026-08-14 03:58:22.264374,2026-08-14 04:26:40.913567,0 days 00:28:18.649193,0.708,COMPLETE
+10,70.0,2026-08-14 04:26:40.944723,2026-08-14 04:54:59.822119,0 days 00:28:18.877396,0.368,COMPLETE
+11,30.0,2026-08-14 04:54:59.845706,2026-08-14 05:23:16.286250,0 days 00:28:16.440544,0.418,COMPLETE
+12,9.0,2026-08-14 05:23:16.316833,2026-08-14 05:51:32.714742,0 days 00:28:16.397909,0.431,COMPLETE
+13,19.0,2026-08-14 05:51:32.739475,2026-08-14 06:19:49.303836,0 days 00:28:16.564361,0.781,COMPLETE
+14,3.0,2026-08-14 06:19:49.327417,2026-08-14 06:48:18.065691,0 days 00:28:28.738274,0.553,COMPLETE
+15,11.0,2026-08-14 06:48:18.090752,2026-08-14 07:16:31.391395,0 days 00:28:13.300643,0.592,COMPLETE
+16,57.0,2026-08-14 07:16:31.415656,2026-08-14 07:44:45.677288,0 days 00:28:14.261632,0.6940000000000001,COMPLETE
+17,0.0,2026-08-14 07:44:45.701329,2026-08-14 08:13:55.207873,0 days 00:29:09.506544,0.521,COMPLETE
+18,5.0,2026-08-14 08:13:55.388339,2026-08-14 08:42:58.967430,0 days 00:29:03.579091,0.495,COMPLETE
+19,19.0,2026-08-14 08:42:59.242842,2026-08-14 09:11:14.317925,0 days 00:28:15.075083,0.266,COMPLETE
+20,43.0,2026-08-14 09:11:14.384199,2026-08-14 09:39:22.436044,0 days 00:28:08.051845,0.499,COMPLETE
+21,31.0,2026-08-14 09:39:22.461352,2026-08-14 10:09:13.807648,0 days 00:29:51.346296,0.497,COMPLETE
+22,,2026-08-14 10:09:13.832664,,,0.28600000000000003,RUNNING
diff --git a/abm_calibration/experiment_90/optuna_results.csv b/abm_calibration/experiment_90/optuna_results.csv
new file mode 100644
index 0000000..b27b7da
--- /dev/null
+++ b/abm_calibration/experiment_90/optuna_results.csv
@@ -0,0 +1,15 @@
+number,value,datetime_start,datetime_complete,duration,params_migration_bias_cart,state
+0,119.6400000000001,2026-08-12 18:21:48.246840,2026-08-12 19:46:30.420659,0 days 01:24:42.173819,0.04,COMPLETE
+1,203.67499999999995,2026-08-12 19:46:30.447688,2026-08-12 21:13:31.806182,0 days 01:27:01.358494,0.09,COMPLETE
+2,182.68000000000006,2026-08-12 21:13:31.842396,2026-08-12 22:40:06.143404,0 days 01:26:34.301008,0.06999999999999999,COMPLETE
+3,170.68499999999995,2026-08-12 22:40:06.166898,2026-08-13 00:05:36.840762,0 days 01:25:30.673864,0.060000000000000005,COMPLETE
+4,8.459999999999809,2026-08-13 00:05:36.865503,2026-08-13 01:29:31.432409,0 days 01:23:54.566906,0.02,COMPLETE
+5,8.75500000000011,2026-08-13 01:29:31.457844,2026-08-13 02:53:28.710548,0 days 01:23:57.252704,0.02,COMPLETE
+6,125.56500000000005,2026-08-13 02:53:28.734091,2026-08-13 04:17:46.367174,0 days 01:24:17.633083,0.01,COMPLETE
+7,197.44500000000016,2026-08-13 04:17:46.391770,2026-08-13 05:45:34.931054,0 days 01:27:48.539284,0.08,COMPLETE
+8,168.45499999999993,2026-08-13 05:45:34.955426,2026-08-13 07:11:50.632652,0 days 01:26:15.677226,0.060000000000000005,COMPLETE
+9,183.99500000000012,2026-08-13 07:11:50.656084,2026-08-13 08:37:38.927545,0 days 01:25:48.271461,0.06999999999999999,COMPLETE
+10,,2026-08-13 08:37:38.951837,2026-08-13 09:35:49.111443,0 days 00:58:10.159606,0.03,FAIL
+11,272.4100000000001,2026-08-13 12:45:13.327651,2026-08-13 14:07:47.444693,0 days 01:22:34.117042,0.0,COMPLETE
+12,77.47999999999979,2026-08-13 14:07:47.470728,2026-08-13 15:31:08.917609,0 days 01:23:21.446881,0.014,COMPLETE
+13,,2026-08-13 15:31:08.942820,,,0.015,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 5132fca..56533c8 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,7 +29,7 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 80
+EXPERIMENT_ID = 101
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
@@ -59,8 +59,11 @@ def run_ABM(params, seed):
     #     "basal_death_probability_cancer_cells"
     # ]
 
-    maximum_necrosis_lack_of_oxygen_rate = params[
-        "maximum_necrosis_lack_of_oxygen_rate"
+    avg_migration_bias_cart = params[
+        "avg_migration_bias_cart"
+    ]
+    std_migration_bias_cart = params[
+        "std_migration_bias_cart"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
@@ -70,8 +73,9 @@ def run_ABM(params, seed):
     # ]
 
     # Change this configuration for the ABM run
-    config ={
-  "seed": seed,
+    config = {
+  "seed": 42,
+  "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -88,7 +92,7 @@ def run_ABM(params, seed):
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
   "default_volume_new_tumor_cell": 1468.0,
   "std_volume_new_tumor_cell": 166,
   "min_volume_new_tumor_cell": 1136.0,
@@ -102,40 +106,46 @@ def run_ABM(params, seed):
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_tumor_cell": 0.45,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "treatment": {
-    "0": 0
+    "0": 5600
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": maximum_necrosis_lack_of_oxygen_rate,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": False,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": True,
   "add_glucose": True,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "default_glucose_consumption_cart": 0.045,
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 0.7,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
   "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "avg_migration_bias_cart": avg_migration_bias_cart,
+  "std_migration_bias_cart": std_migration_bias_cart,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.0013
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -189,7 +199,7 @@ def compute_error():
         return float("inf")
 
     df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells"]
+        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells","average_radius_distance_living_cart_cells"]
     )
    #take at the minute 1440 
     # row = df_s[df_s["total_minutes"] == 1440].iloc[0]
@@ -204,7 +214,7 @@ def compute_error():
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
     dead_cells_4320 = row["tumor_cells_type5_dead"]
-    dead_cells_4320_target = 2870
+    dead_cells_4320_target = 680
     # total_tumor_cells_4320 = row["num_tumor_cells"]
     # target_total_tumor_cells_4320 = 4143.0
 
@@ -341,9 +351,10 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        # "oxygen_limit_for_proliferation": trial.suggest_float("oxygen_limit_for_proliferation", 0.0, 40, step=0.1),
+        "avg_migration_bias_cart": trial.suggest_float("avg_migration_bias_cart", 0.0, 0.3, step=0.1),
+        "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00001, 0.00003, step=0.0000029),
+        # "kill_rate_cart": trial.suggest_float("kill_rate_cart", 0.001, 0.999, step=0.001),
         # "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
     }
 
diff --git a/bdm.toml b/bdm.toml
index a74f641..a124c49 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,6 +1,6 @@
 [visualization]
 export = true
-interval = 1000
+interval = 1200
 
 [[visualize_agent]]
 name = "TumorCell"
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 07f2921..1bce378 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -27,16 +27,19 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-# MINUTE = 3240 # change this to the minute you want to plot
-MINUTE = 4320 # change this to the minute you want to plot
+MINUTE = 1440 # change this to the minute you want to plot
+# MINUTE = 4320 # change this to the minute you want to plot
+# ATTRIBUTE= "num_alive_tumor_cells_radius"
+# ATTRIBUTE= "tumor_cells_type5_dead_radius"
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #num_dead_cells_radius
+ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
+# ATTRIBUTE ="average_glucose_all_cells_radius"
+# other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius", "num_alive_cart_cells_radius"
+# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius",
-# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-# APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+# APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
 
@@ -65,8 +68,12 @@
     r_in = np.array([p[1] for p in points], dtype=float)
     r_out = np.array([p[2] for p in points], dtype=float)
     ring_area = np.pi * (r_out**2 - r_in**2)
+    # print(raw_values)
+    # print("a")
+    # print(ring_area)
     raw_values = raw_values / ring_area
 
+
 values = raw_values / DIVIDING_FACTOR
 
 print(f"Attribute: {ATTRIBUTE}")
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
index 42f5dd04032e4615f66b552da625df7f92a0049a..04095c17bf200b49db52c67a6f7afb11c5c93ed8 100644
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diff --git a/draft/condig_saturday_consumption_cart15_08.json b/draft/condig_saturday_consumption_cart15_08.json
new file mode 100644
index 0000000..119747d
--- /dev/null
+++ b/draft/condig_saturday_consumption_cart15_08.json
@@ -0,0 +1,73 @@
+{
+  "seed": 42,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_glucose_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_glucose_consumption_tumor_cell": 0.45,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "treatment": {
+    "0": 560
+  },
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 0.000005,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": true,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 7,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "migration_bias_cart": 0.0,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0
+}
\ No newline at end of file
diff --git a/draft/config_13_08_cart_migrattion.json b/draft/config_13_08_cart_migrattion.json
new file mode 100644
index 0000000..2f05925
--- /dev/null
+++ b/draft/config_13_08_cart_migrattion.json
@@ -0,0 +1,72 @@
+{
+  "seed": 42,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_glucose_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_oxygen_consumption_cart": 0,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "treatment": {
+    "0": 560000
+  },
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000129,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 0.000005,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": true,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "default_glucose_consumption_cart": 0.045,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "migration_bias_cart": 0.0,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.0
+}
\ No newline at end of file
diff --git a/draft/config_friday_14_08.json b/draft/config_friday_14_08.json
new file mode 100644
index 0000000..3c94d8a
--- /dev/null
+++ b/draft/config_friday_14_08.json
@@ -0,0 +1,73 @@
+{
+  "seed": 42,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_glucose_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "treatment": {
+    "0": 5600
+  },
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 0,
+  "oxygen_limit_for_proliferation": 0,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 0.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 0.000005,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": true,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 1.65,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "migration_bias_cart": 0.013,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.0013
+}
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 04d8a54..cd51769 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 80
+EXPERIMENT_ID = 101
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/no_margin_average_glucose_all_cells_radius_vs_radius.png b/draft/no_margin_average_glucose_all_cells_radius_vs_radius.png
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diff --git a/params.json b/params.json
index a8018d8..9d2f7b6 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,6 @@
 {
   "seed": 42,
+  "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
@@ -30,13 +31,13 @@
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_tumor_cell": 0.045,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "treatment": {
-    "0": 5600
+    "0": 56000
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
@@ -52,22 +53,24 @@
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
   "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": false,
-  "migration_bias_cart": 0.0,
+  "add_immunostimulatory_factor": true,
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "default_glucose_consumption_cart": 0.045,
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 0.07,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
   "maximum_death_lack_of_glucose_rate": 0.000175,
   "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "dt_substances": 4320,
-  "migration_speed_cart": 25.0,
-  "elastic_constant_cart": 0.0,
-  "adhesion_rate_cart": 0
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.00032,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 0.00001
 }
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 56f24f7..7179551 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -62,6 +62,14 @@ CarTCell::CarTCell(const Real3& position) {
   // Set default nuclear volume
   SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_cart_cell*total_volume);
 
+  // Set Random Migration Bias
+  migration_bias_ = SamplePositiveGaussian(
+      sparams->avg_migration_bias_cart, sparams->std_migration_bias_cart);
+  //Clip the value <= 1
+  if (migration_bias_ > 1.0) {
+    migration_bias_ = 1.0;
+  }
+
   const ResourceManager& rm = *sim->GetResourceManager();
   oxygen_dgrid_ = rm.GetDiffusionGrid("oxygen");
   immunostimulatory_factor_dgrid_ = sparams->add_immunostimulatory_factor
@@ -72,7 +80,7 @@ CarTCell::CarTCell(const Real3& position) {
         : nullptr;
 
   SetCurrentLiveTime((sparams->dt_cycle + 1) *
-                     sparams->average_maximum_time_untill_apoptosis_cart);
+                     sparams->average_maximum_time_until_apoptosis_cart);
   // Add Consumption and Secretion
   //  Set default oxygen consumption rate
   SetOxygenConsumptionRate(sparams->default_oxygen_consumption_cart);
@@ -206,9 +214,10 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
             current_position, &direction_to_immunostimulatory_factor, true);
         // motility = bias * direction_to_immunostimulatory_factor +
         // (1-bias)*random_direction
+        const real_t bias = GetMigrationBias();
         motility =
-            sparams->migration_bias_cart * direction_to_immunostimulatory_factor +
-            sparams->migration_one_minus_bias_cart * random_direction;
+            bias * direction_to_immunostimulatory_factor +
+            (1-bias) * random_direction;
       }
       
       const real_t motility_norm_squared = motility[0] * motility[0] +
@@ -221,9 +230,9 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
       // Scale by migration speed and add to the velocity
       translation_velocity_on_point_mass +=
           motility * sparams->migration_speed_cart;
+
     }
   }
-
   //--------------------------------------------
   // If cell is not apoptotic
   if (state_ == CarTCellState::kAlive) {
@@ -350,7 +359,6 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
         "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
     break;
 }
-
   // Displacement
   return movement_at_next_step;
 }
diff --git a/src/agents/cart_cell.h b/src/agents/cart_cell.h
index 9852703..b6889a5 100644
--- a/src/agents/cart_cell.h
+++ b/src/agents/cart_cell.h
@@ -56,7 +56,7 @@ enum class CarTCellState : int {
 /// simulation. It inherits from the base Cell class and includes specific
 /// behaviors and properties related to CAR-T cell biology, including states,
 /// volume dynamics, and interactions with tumor cells.
-class CarTCell : public Cell, public ISubstanceInteractor {
+class CarTCell final : public Cell, public ISubstanceInteractor {
   // NOLINTNEXTLINE(modernize-type-traits)
   BDM_AGENT_HEADER(CarTCell, Cell, 1);
 
@@ -116,6 +116,9 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   }
   bool IsAttachedToTumorCell() const { return attached_to_tumor_cell_; }
 
+  real_t GetMigrationBias() const { return migration_bias_; }
+  void SetMigrationBias(real_t bias) { migration_bias_ = bias; }
+
   Real3 GetOlderVelocity() const { return older_velocity_; }
   void SetOlderVelocity(const Real3& velocity) { older_velocity_ = velocity; }
 
@@ -272,6 +275,9 @@ class CarTCell : public Cell, public ISubstanceInteractor {
   /// Target relation between cytoplasm and nucleus volumes
   real_t target_relation_cytoplasm_nucleus_ = 0.0;
 
+  /// Migration bias towards the immunostimulatory factor source (range [0,1])
+  real_t migration_bias_ = 0.0;
+
   /// Velocity of the cell in the previous time step
   Real3 older_velocity_ = {0, 0, 0};
 
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index 599aa8a..6a2e1c0 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -59,7 +59,7 @@ int Simulate(int argc, const char** argv) {
   auto set_param = [sparam_ref](Param* param) {
     // Set simulation bounds using the parameters
     param->random_seed = sparam_ref->seed;
-    param->bound_space = Param::BoundSpaceMode::kTorus;
+    param->bound_space = sparam_ref->bound_space_toplogy;
     param->min_bound = -sparam_ref->bounded_space_length / kHalf;
     param->max_bound = sparam_ref->bounded_space_length / kHalf;
     param->simulation_time_step = sparam_ref->dt_step;
diff --git a/src/diffusion/cylinder_wall_boundary_condition.h b/src/diffusion/cylinder_wall_boundary_condition.h
index b22086f..c89bdaa 100644
--- a/src/diffusion/cylinder_wall_boundary_condition.h
+++ b/src/diffusion/cylinder_wall_boundary_condition.h
@@ -44,7 +44,7 @@ namespace bdm {
 /// will also secrete value_ at that layer. Callers who need to guarantee
 /// that floor/roof never secrete, regardless of the configured range,
 /// should choose min_z_/max_z_ strictly inside the domain bounds.
-class CylinderWallBoundaryCondition : public BoundaryCondition {
+class CylinderWallBoundaryCondition final : public BoundaryCondition {
   using BoundaryCondition::BoundaryCondition;
 
  public:
diff --git a/src/diffusion/diffusion_thomas_algorithm.h b/src/diffusion/diffusion_thomas_algorithm.h
index c9c31fa..351a17a 100644
--- a/src/diffusion/diffusion_thomas_algorithm.h
+++ b/src/diffusion/diffusion_thomas_algorithm.h
@@ -36,7 +36,7 @@ namespace bdm {
 ///
 /// Implements the diffusion equation, solved implicitly: ∂t u = ∇D∇u - μu
 /// Uses the Thomas algorithm for solving tridiagonal systems efficiently.
-class DiffusionThomasAlgorithm : public DiffusionGrid {
+class DiffusionThomasAlgorithm final : public DiffusionGrid {
  public:
   DiffusionThomasAlgorithm()
       : resolution_(0),
diff --git a/src/forces/forces_tumor_cart.h b/src/forces/forces_tumor_cart.h
index 3da9d28..72c037e 100644
--- a/src/forces/forces_tumor_cart.h
+++ b/src/forces/forces_tumor_cart.h
@@ -34,7 +34,7 @@ namespace bdm {
 /// cells and CAR-T cells). It extends the base InteractionForce class to
 /// provide custom force calculations specific to the tumor-CAR-T cell
 /// interaction simulation.
-class InteractionVelocity : public InteractionForce {
+class InteractionVelocity final : public InteractionForce {
  public:
   InteractionVelocity() = default;
   InteractionVelocity(const InteractionVelocity&) = default;
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index fafdc97..d8b0b51 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -21,6 +21,7 @@
 
 #include "params/hyperparams.h"
 #include "core/param/param_group.h"
+#include "core/param/param.h"
 #include "core/real_t.h"
 #include "core/util/math.h"
 #include <cmath>
@@ -91,6 +92,16 @@ if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else
   load_int("initial_number_of_cylindrical_tumor_cells",
            initial_number_of_cylindrical_tumor_cells);
   load_int("bounded_space_length", bounded_space_length);
+  std::string bound_space_toplogy_string;
+  if (jfile.contains("bound_space_toplogy")) {
+    bound_space_toplogy_string = jfile["bound_space_toplogy"].get<std::string>();
+if (bound_space_toplogy_string == "torus") { bound_space_toplogy = Param::BoundSpaceMode::kTorus; } 
+else if (bound_space_toplogy_string == "open") { bound_space_toplogy = Param::BoundSpaceMode::kOpen; } 
+else if (bound_space_toplogy_string == "closed") { bound_space_toplogy =  Param::BoundSpaceMode::kClosed; } 
+else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimParam::LoadParams", "Unknown bound space topology '" + bound_space_toplogy_string + "'. It should be either 'torus', 'open' or 'closed'. Loading default value ('torus') instead"); }
+
+  }
+
 
   load_double("initial_spherical_tumor_radius", initial_spherical_tumor_radius);
   load_double("cylindrical_tumor_radius", cylindrical_tumor_radius);
@@ -335,11 +346,11 @@ if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else
   load_double("threshold_cancer_cell_type3", threshold_cancer_cell_type3);
   load_double("threshold_cancer_cell_type4", threshold_cancer_cell_type4);
 
-  if (jfile.contains("average_maximum_time_untill_apoptosis_cart")) {
-    average_maximum_time_untill_apoptosis_cart =
-        jfile["average_maximum_time_untill_apoptosis_cart"].get<double>();
+  if (jfile.contains("average_maximum_time_until_apoptosis_cart")) {
+    average_maximum_time_until_apoptosis_cart =
+        jfile["average_maximum_time_until_apoptosis_cart"].get<double>();
   } else {
-    average_maximum_time_untill_apoptosis_cart =
+    average_maximum_time_until_apoptosis_cart =
         // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
         dt_cycle * 10.0 * 24.0 * 60.0 / (dt_cycle + 1.0);
   }
@@ -363,7 +374,8 @@ if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else
   load_double("minimum_distance_from_tumor_to_spawn_cart",
               minimum_distance_from_tumor_to_spawn_cart);
   load_double("persistence_time_cart", persistence_time_cart);
-  load_double("migration_bias_cart", migration_bias_cart);
+  load_double("avg_migration_bias_cart", avg_migration_bias_cart);
+  load_double("std_migration_bias_cart", std_migration_bias_cart);
   load_double("migration_speed_cart", migration_speed_cart);
   load_double("elastic_constant_cart", elastic_constant_cart);
 
@@ -384,11 +396,12 @@ if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else
   // Squared max allowed radius
   bounded_space_max_allowed_radius_squared = bounded_space_max_allowed_radius * bounded_space_max_allowed_radius;
 
-  // 1-migration_bias_cart
-  migration_one_minus_bias_cart = 1.0 - migration_bias_cart;
   // Probability of a CAR-T cell to migrate in a given
   // mechanical time step
-  motility_probability_cart = dt_mechanics / persistence_time_cart;
+  motility_probability_cart =
+    (persistence_time_cart == 0)
+        ? 1.0
+        : dt_mechanics / persistence_time_cart;
   // Probability of a Tumor cell to escape in a given
   // mechanical time step
   probability_escape_from_cart =
@@ -445,6 +458,10 @@ void SimParam::PrintParams() const {
 switch (tumor_shape) { case TumorShape::kSphere: std::cout << "Tumor shape: 'sphere' \n"; std::cout << "Initial radius of the spherical tumor (micrometers): " << initial_spherical_tumor_radius << "\n"; break; case TumorShape::kCylinder: std::cout << "Tumor shape: 'cylinder' \n"; std::cout << "Initial radius of the cylindrical tumor (micrometers): " << cylindrical_tumor_radius << "\n"; std::cout << "Initial height of the cylindrical tumor (micrometers): " << cylindrical_tumor_height << "\n"; std::cout << "Min allowed Z coordinate for cells (micrometers): " << bounded_space_min_allowed_z << "\n"; std::cout << "Max allowed Z coordinate for cells (micrometers): " << bounded_space_max_allowed_z << "\n"; std::cout << "Max allowed radius for cells (micrometers): " << bounded_space_max_allowed_radius << "\n"; std::cout << "Initial number of cylindrical tumor cells: " << initial_number_of_cylindrical_tumor_cells << "\n"; break; }
   std::cout << "Length of the bounded space (micrometers): "
             << bounded_space_length << "\n\n";
+switch (bound_space_toplogy) { case Param::BoundSpaceMode::kTorus: std::cout << "Bound space topology: 'torus' \n"; break; 
+case Param::BoundSpaceMode::kOpen: std::cout << "Bounded space topology: 'open' \n"; break; 
+case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'closed' \n"; break; }
+
 
   /// Treatment Dosages
   std::cout << "/// Treatment Dosages\n";
@@ -697,7 +714,7 @@ switch (tumor_shape) { case TumorShape::kSphere: std::cout << "Tumor shape: 'sph
   std::cout << "///\n\n";
 
   std::cout << "Average time in minutes until a CAR-T cell dies: "
-            << average_maximum_time_untill_apoptosis_cart << "\n";
+            << average_maximum_time_until_apoptosis_cart << "\n";
   std::cout << "Default oxygen consumption rate of CAR-T cell: "
             << default_oxygen_consumption_cart << "\n";
   std::cout << "Default glucose consumption rate of CAR-T cell: " 
@@ -739,8 +756,10 @@ switch (tumor_shape) { case TumorShape::kSphere: std::cout << "Tumor shape: 'sph
   std::cout << "\nMotility parameters:\n";
   std::cout << "Average persistence time before CAR-T cell moves: "
             << persistence_time_cart << "\n";
-  std::cout << "Migration bias (higher values = more directed movement): "
-            << migration_bias_cart << "\n";
+  std::cout << "Average Migration bias (higher values = more directed movement): "
+            << avg_migration_bias_cart << "\n";
+  std::cout << "Standard deviation migration bias: "
+            << std_migration_bias_cart << "\n";
   std::cout << "Migration speed: " << migration_speed_cart << "\n";
   std::cout << "Elastic constant: " << elastic_constant_cart << "\n\n";
 
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 8bb7cd0..2f619b7 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -23,6 +23,7 @@
 #define TUMOR_HYPERPARAMS_H_
 
 #include "core/param/param_group.h"
+#include "core/param/param.h"
 #include "core/real_t.h"
 #include "core/util/math.h"
 #include <cmath>
@@ -79,6 +80,9 @@ struct SimParam : public ParamGroup {
   /// Total simulation time in minutes (30 days by default)
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int total_minutes_to_simulate = 43200;
+  /// Bounded space topology for the boundaries it can be "open", "torus" or "closed" (see BioDynaMo documentation for more information)
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  Param::BoundSpaceMode bound_space_toplogy = Param::BoundSpaceMode::kTorus;
   /// Length of the bounded space in micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int bounded_space_length = 1000;
@@ -437,7 +441,7 @@ struct SimParam : public ParamGroup {
 
   /// Average time in minutes until a CAR-T cell dies
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t average_maximum_time_untill_apoptosis_cart = 12342.86;
+  real_t average_maximum_time_until_apoptosis_cart = 12342.86;
   /// Default oxygen consumption rate of CAR-T cell
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_oxygen_consumption_cart = 1;
@@ -484,11 +488,16 @@ struct SimParam : public ParamGroup {
   /// Average persistence time before CAR-T cell moves
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t persistence_time_cart = 10;  // 10 minutes
-  /// Higher bias (\in [0,1]) makes CAR-T movement more directed toward
+  /// Average migration bias of CAR-T cells. Higher bias (\in [0,1]) makes CAR-T movement more directed toward
   /// immunostimulatory factor source; while a bias of 0 makes the movement
   /// random
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t migration_bias_cart = 0.5;
+  real_t avg_migration_bias_cart = 0.5;
+  ///Standard deviation of the migration bias for CAR-T cells. Higher values make the migration bias more variable among CAR-T cells
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  real_t std_migration_bias_cart = 0.0;
+
+
   /// Migration speed
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t migration_speed_cart = 5;
@@ -516,9 +525,6 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_max_allowed_radius_squared = 1000000;
 
-  /// 1-migration_bias_cart
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-  real_t migration_one_minus_bias_cart = 0.5;
   /// Probability of a CAR-T cell to migrate in a given
   /// mechanical time step
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)

From c3ae9b526aa57138146032fbc3068f11e4cc41fe Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 21 Aug 2026 15:51:37 +0200
Subject: [PATCH 35/54] new configuration maximun necrosis rate for model
 without treatment and with glucose

---
 .../experiment_111/optuna_results.csv         |   4 +
 abm_calibration/optimize.py                   |  95 +++++++++---------
 draft/19_08_26_configuration.json             |  76 ++++++++++++++
 draft/analysis_radius_atribute.py             |   8 +-
 ...onfiguration_model_no_treatment_21_08.json |  76 ++++++++++++++
 draft/experimentation.py                      |  47 ++++++---
 draft/generatecsv.py                          |   2 +-
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 59545 -> 64578 bytes
 params.json                                   |   8 +-
 9 files changed, 245 insertions(+), 71 deletions(-)
 create mode 100644 abm_calibration/experiment_111/optuna_results.csv
 create mode 100644 draft/19_08_26_configuration.json
 create mode 100644 draft/configuration_model_no_treatment_21_08.json

diff --git a/abm_calibration/experiment_111/optuna_results.csv b/abm_calibration/experiment_111/optuna_results.csv
new file mode 100644
index 0000000..bb56d10
--- /dev/null
+++ b/abm_calibration/experiment_111/optuna_results.csv
@@ -0,0 +1,4 @@
+number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_oxygen_rate,state
+0,1.92,2026-08-19 23:50:44.989873,2026-08-20 08:12:39.174484,0 days 08:21:54.184611,1.92e-05,COMPLETE
+1,1.8800000000000001,2026-08-20 08:12:39.202473,2026-08-20 16:33:14.284583,0 days 08:20:35.082110,2.16e-05,COMPLETE
+2,,2026-08-20 16:33:14.309576,,,2.0700000000000002e-05,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 56533c8..edc3ae2 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 101
+EXPERIMENT_ID = 111
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
+NUMBER_MONTE_CARLO = 5
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -59,11 +59,8 @@ def run_ABM(params, seed):
     #     "basal_death_probability_cancer_cells"
     # ]
 
-    avg_migration_bias_cart = params[
-        "avg_migration_bias_cart"
-    ]
-    std_migration_bias_cart = params[
-        "std_migration_bias_cart"
+    maximum_necrosis_lack_of_oxygen_rate = params[
+        "maximum_necrosis_lack_of_oxygen_rate"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
@@ -74,7 +71,7 @@ def run_ABM(params, seed):
 
     # Change this configuration for the ABM run
     config = {
-  "seed": 42,
+  "seed": seed,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
@@ -92,7 +89,7 @@ def run_ABM(params, seed):
   "cylindrical_tumor_radius": 3000.0,
   "max_radius_analysis_csv_dependent_on_radius": 3000.0,
   "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
   "std_volume_new_tumor_cell": 166,
   "min_volume_new_tumor_cell": 1136.0,
@@ -106,22 +103,22 @@ def run_ABM(params, seed):
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.45,
+  "default_glucose_consumption_tumor_cell": 0.045,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "treatment": {
-    "0": 5600
+    "0": 0
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": maximum_necrosis_lack_of_oxygen_rate,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
@@ -133,19 +130,21 @@ def run_ABM(params, seed):
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 0.7,
+  "default_oxygen_consumption_cart": 7,
+  "default_glucose_consumption_cart": 0.07,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
   "maximum_death_lack_of_glucose_rate": 0.000175,
   "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": avg_migration_bias_cart,
-  "std_migration_bias_cart": std_migration_bias_cart,
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
   "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.0013
+  "adhesion_rate_cart": 0.00032,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 0.00001
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -157,29 +156,32 @@ def run_ABM(params, seed):
 
 # Change This: Function to compute the error between the ABM simulation results and the experimental data
 def compute_error():
-#     sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
 
 #     if not sim_dir.exists():
 #         logging.error("Missing simulation CSV: %s", sim_dir)
 #         return float("inf")
 
-#     df_s = pd.read_csv(
-#         sim_dir,
-#         usecols=[
-#             "total_minutes",
-#             "average_oxygen_all_cells_radius_2850_to_3000",
-#             "average_oxygen_all_cells_radius_0_to_150",
-#         ],
-#     )
+    df_s = pd.read_csv(
+        sim_dir,
+        usecols=[
+            "total_minutes",
+            "tumor_cells_type5_dead_radius_0_to_150"
+        ],
+    )
 
 #     # See the value at the minute 30 for the average oxygen level in the simulation data
-#     row = df_s[df_s["total_minutes"] == 30].iloc[0]
+    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
 #     value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
 #     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
 #     target_value_border = target_outer
-#     value_center = row["average_oxygen_all_cells_radius_0_to_150"]
+    value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
 #     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-#     target_value_center = target_inner
+    target_value_center = 10.6
+
+    error_total_tumor_cells = abs(value_center - target_value_center)
+
+    return float(error_total_tumor_cells)
 
 #    # Debug print de los 4 valores 
 #     print(f"Value border: {value_border_in_mol_m3}")
@@ -191,16 +193,17 @@ def compute_error():
 #     mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
     
 #     return float(mse)
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
+    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
+    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
 
 
-    if not sim_dir.exists():
-        logging.error("Missing simulation CSV: %s", sim_dir)
-        return float("inf")
+    # if not sim_dir.exists():
+    #     logging.error("Missing simulation CSV: %s", sim_dir)
+    #     return float("inf")
 
-    df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells","average_radius_distance_living_cart_cells"]
-    )
+    # df_s = pd.read_csv(
+    #     sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells","average_radius_distance_living_cart_cells"]
+    # )
    #take at the minute 1440 
     # row = df_s[df_s["total_minutes"] == 1440].iloc[0]
     # tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
@@ -212,9 +215,9 @@ def compute_error():
     # target_tumor_cells_type5_dead_2880 = 350
 
    # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
-    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    dead_cells_4320 = row["tumor_cells_type5_dead"]
-    dead_cells_4320_target = 680
+    # row = df_s[df_s["total_minutes"] == 4320].iloc[0]
+    # dead_cells_4320 = row["tumor_cells_type5_dead"]
+    # dead_cells_4320_target = 680
     # total_tumor_cells_4320 = row["num_tumor_cells"]
     # target_total_tumor_cells_4320 = 4143.0
 
@@ -225,9 +228,9 @@ def compute_error():
     
 
     # Compute absolute errors
-    error_total_tumor_cells = abs(dead_cells_4320 - dead_cells_4320_target)
+    # error_total_tumor_cells = abs(dead_cells_4320 - dead_cells_4320_target)
 
-    return float(error_total_tumor_cells)
+    # return float(error_total_tumor_cells)
 
 
     # dafault 
@@ -351,8 +354,8 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "avg_migration_bias_cart": trial.suggest_float("avg_migration_bias_cart", 0.0, 0.3, step=0.1),
-        "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
+        "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.0000177, 0.0000216, step=0.0000003),
+        # "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
         # "kill_rate_cart": trial.suggest_float("kill_rate_cart", 0.001, 0.999, step=0.001),
         # "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
diff --git a/draft/19_08_26_configuration.json b/draft/19_08_26_configuration.json
new file mode 100644
index 0000000..f7faf72
--- /dev/null
+++ b/draft/19_08_26_configuration.json
@@ -0,0 +1,76 @@
+{
+  "seed": 47,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_glucose_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "treatment": {
+    "0": 56000
+  },
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 0.0000049,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": true,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_oxygen_consumption_cart": 7,
+  "default_glucose_consumption_cart": 0.07,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.00032,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 0.00001
+}
\ No newline at end of file
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 1bce378..bdd8804 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -27,12 +27,12 @@
 
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-MINUTE = 1440 # change this to the minute you want to plot
-# MINUTE = 4320 # change this to the minute you want to plot
+# MINUTE = 1440 # change this to the minute you want to plot
+MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE= "num_alive_tumor_cells_radius"
-# ATTRIBUTE= "tumor_cells_type5_dead_radius"
+ATTRIBUTE= "tumor_cells_type5_dead_radius"
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
+# ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
 # ATTRIBUTE ="average_glucose_all_cells_radius"
 # other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius", "num_alive_cart_cells_radius"
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
diff --git a/draft/configuration_model_no_treatment_21_08.json b/draft/configuration_model_no_treatment_21_08.json
new file mode 100644
index 0000000..c3bdfcb
--- /dev/null
+++ b/draft/configuration_model_no_treatment_21_08.json
@@ -0,0 +1,76 @@
+{
+  "seed": seed,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": False,
+  "diffuse_glucose_on_z_axis": False,
+  "output_performance_statistics": False,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": True,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "treatment": {
+    "0": 0
+  },
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 0.000005,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": True,
+  "add_glucose": True,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_oxygen_consumption_cart": 7,
+  "default_glucose_consumption_cart": 0.07,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.00032,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 0.00001
+}
\ No newline at end of file
diff --git a/draft/experimentation.py b/draft/experimentation.py
index e18b25b..2b6494f 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -42,12 +42,14 @@ def run_ABM(seed):
 
     config={
   "seed": seed,
+  "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": False,
+  "diffuse_oxygen_on_z_axis": False,
+  "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
@@ -59,47 +61,60 @@ def run_ABM(seed):
   "cylindrical_tumor_height": 100.0,
   "initial_number_of_cylindrical_tumor_cells": 28000,
   "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
   "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 67.25,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
   "oncoprotein_mean": 1.0,
   "oncoprotein_standard_deviation": 0.0,
   "initial_oxygen_level": 0.0,
   "oxygen_reference_level": 165.0,
   "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_tumor_cell": 0.045,
   "diffusion_coefficient_oxygen": 180000.0,
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
   "treatment": {
     "0": 0
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 5e-06,
+  "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": False,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": True,
   "add_glucose": True,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "default_glucose_consumption_cart": 0.045,
+  "max_radius_glucose_initialization": 3100.0,  
+  "default_oxygen_consumption_cart": 7,
+  "default_glucose_consumption_cart": 0.07,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
   "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000156,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
+  "persistence_time_cart": 0,
+  "kill_rate_cart": 0.521,
+  "adhesion_rate_cart": 0.00032,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 0.00001
 }
 
     # Save the config parameters for this run to the params.json file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index cd51769..875ba27 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 101
+EXPERIMENT_ID = 111
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
index 1c412ddc74384cacb23991bc62a447e2d9c406ea..f462eff53da29dcce3aec49dde4e53dce0d36808 100644
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diff --git a/params.json b/params.json
index 9d2f7b6..f7faf72 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 42,
+  "seed": 47,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
@@ -46,9 +46,9 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000129,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
+  "basal_death_probability_cancer_cells": 0.0000049,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
@@ -58,7 +58,7 @@
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 0,
+  "default_oxygen_consumption_cart": 7,
   "default_glucose_consumption_cart": 0.07,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,

From f890078eeb3c96857b632ffc68fe306c8a27b283 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 5 Sep 2026 14:24:41 +0200
Subject: [PATCH 36/54] parameter for cart adhesion rate?

---
 .../experiment_120/optuna_results.csv         |   2 +
 abm_calibration/optimize.py                   |  37 +++++++++---------
 draft/analysis_radius_atribute.py             |   4 +-
 draft/experimentation.py                      |  21 +++++-----
 draft/generatecsv.py                          |   2 +-
 .../num_alive_cart_cells_radius_vs_radius.png | Bin 45782 -> 0 bytes
 draft/num_dead_cells_radius_vs_radius.png     | Bin 58788 -> 0 bytes
 draft/oxygen_vs_radius28000_no_cup.png        | Bin 57781 -> 0 bytes
 draft/oxygen_vs_radius28000_with_cup.png      | Bin 56471 -> 0 bytes
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 64578 -> 98572 bytes
 ...e5_dead_radius_vs_radius_no_normalized.png | Bin 0 -> 75359 bytes
 params.json                                   |  25 ++++++------
 12 files changed, 46 insertions(+), 45 deletions(-)
 create mode 100644 abm_calibration/experiment_120/optuna_results.csv
 delete mode 100644 draft/num_alive_cart_cells_radius_vs_radius.png
 delete mode 100644 draft/num_dead_cells_radius_vs_radius.png
 delete mode 100644 draft/oxygen_vs_radius28000_no_cup.png
 delete mode 100644 draft/oxygen_vs_radius28000_with_cup.png
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius_no_normalized.png

diff --git a/abm_calibration/experiment_120/optuna_results.csv b/abm_calibration/experiment_120/optuna_results.csv
new file mode 100644
index 0000000..79d18fc
--- /dev/null
+++ b/abm_calibration/experiment_120/optuna_results.csv
@@ -0,0 +1,2 @@
+number,value,datetime_start,datetime_complete,duration,params_adhesion_rate_cart,state
+0,,2026-08-22 16:37:39.176557,2026-08-22 20:53:35.669423,0 days 04:15:56.492866,0.00022,FAIL
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index edc3ae2..86eb84f 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 111
+EXPERIMENT_ID = 120
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 5
+NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -59,8 +59,8 @@ def run_ABM(params, seed):
     #     "basal_death_probability_cancer_cells"
     # ]
 
-    maximum_necrosis_lack_of_oxygen_rate = params[
-        "maximum_necrosis_lack_of_oxygen_rate"
+    adhesion_rate_cart = params[
+        "adhesion_rate_cart"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
@@ -74,11 +74,11 @@ def run_ABM(params, seed):
   "seed": seed,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
+  "lateral_oxygen_production_min_z": -6500.0,
+  "lateral_oxygen_production_max_z": 6500.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": False,
+  "diffuse_oxygen_on_z_axis": True,
   "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
@@ -109,7 +109,7 @@ def run_ABM(params, seed):
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "treatment": {
-    "0": 0
+    "0": 56000
   },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
@@ -118,7 +118,7 @@ def run_ABM(params, seed):
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": maximum_necrosis_lack_of_oxygen_rate,
+  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
@@ -130,7 +130,7 @@ def run_ABM(params, seed):
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 7,
+  "default_oxygen_consumption_cart": 0,
   "default_glucose_consumption_cart": 0.07,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
@@ -142,7 +142,7 @@ def run_ABM(params, seed):
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
   "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.00032,
+  "adhesion_rate_cart": adhesion_rate_cart,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
   "decay_constant_immunostimulatory_factor": 0.00001
 }
@@ -166,20 +166,21 @@ def compute_error():
         sim_dir,
         usecols=[
             "total_minutes",
-            "tumor_cells_type5_dead_radius_0_to_150"
+            "tumor_cells_type5_dead_radius_0_to_150",
+            "tumor_cells_type5_dead_radius_2850_to_3000"
         ],
     )
 
 #     # See the value at the minute 30 for the average oxygen level in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-#     value_border = row["average_oxygen_all_cells_radius_2850_to_3000"]
+    value_border = row["tumor_cells_type5_dead_radius_2850_to_3000"]
 #     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
-#     target_value_border = target_outer
-    value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
+    target_value_border = 780
+    # value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
 #     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    target_value_center = 10.6
+    # target_value_center = 10.6
 
-    error_total_tumor_cells = abs(value_center - target_value_center)
+    error_total_tumor_cells = abs(value_border - target_value_border)
 
     return float(error_total_tumor_cells)
 
@@ -354,7 +355,7 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.0000177, 0.0000216, step=0.0000003),
+        "adhesion_rate_cart": trial.suggest_float("adhesion_rate_cart", 0.00023, 0.00026, step=0.000005),
         # "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
         # "kill_rate_cart": trial.suggest_float("kill_rate_cart", 0.001, 0.999, step=0.001),
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index bdd8804..b871e24 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -38,8 +38,8 @@
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
 # DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-# APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+# APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
 
diff --git a/draft/experimentation.py b/draft/experimentation.py
index 2b6494f..eeb66c9 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -43,12 +43,12 @@ def run_ABM(seed):
     config={
   "seed": seed,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
+  "num_radius_intervals": 100,
+  "lateral_oxygen_production_min_z": -6500.0,
+  "lateral_oxygen_production_max_z": 6500.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": False,
+  "diffuse_oxygen_on_z_axis": True,
   "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
@@ -78,9 +78,6 @@ def run_ABM(seed):
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
@@ -100,8 +97,12 @@ def run_ABM(seed):
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 7,
-  "default_glucose_consumption_cart": 0.07,
+  "treatment": {
+    "0": 560000
+  },
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 0.007,
+  "adhesion_rate_cart": 0.0000085,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
@@ -111,8 +112,6 @@ def run_ABM(seed):
   "avg_migration_bias_cart": 0,
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.00032,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
   "decay_constant_immunostimulatory_factor": 0.00001
 }
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index 875ba27..b438754 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 111
+EXPERIMENT_ID = 120
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/num_alive_cart_cells_radius_vs_radius.png b/draft/num_alive_cart_cells_radius_vs_radius.png
deleted file mode 100644
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GIT binary patch
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index f7faf72..ba0bef5 100644
--- a/params.json
+++ b/params.json
@@ -1,12 +1,12 @@
 {
-  "seed": 47,
+  "seed": 427,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
+  "num_radius_intervals": 100,
+  "lateral_oxygen_production_min_z": -6500.0,
+  "lateral_oxygen_production_max_z": 6500.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
+  "diffuse_oxygen_on_z_axis": true,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
@@ -36,9 +36,6 @@
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
-  "treatment": {
-    "0": 56000
-  },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
@@ -48,7 +45,7 @@
   "oxygen_limit_for_necrosis": 45.0,
   "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0000049,
+  "basal_death_probability_cancer_cells": 0.000005,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
@@ -58,8 +55,12 @@
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 7,
-  "default_glucose_consumption_cart": 0.07,
+  "treatment": {
+    "0": 560000
+  },
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 0.007,
+  "adhesion_rate_cart": 0.0000085,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
@@ -69,8 +70,6 @@
   "avg_migration_bias_cart": 0,
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.00032,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
   "decay_constant_immunostimulatory_factor": 0.00001
 }
\ No newline at end of file

From 30868117aafb4fd31b64867ea87ac31c3ba62907 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 9 Sep 2026 14:52:48 +0200
Subject: [PATCH 37/54] new parameter 09_09_2026 for car cells pushing from the
 edges

---
 ...09_2026_config_cart_pushes_from_edges.json | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 draft/09_09_2026_config_cart_pushes_from_edges.json

diff --git a/draft/09_09_2026_config_cart_pushes_from_edges.json b/draft/09_09_2026_config_cart_pushes_from_edges.json
new file mode 100644
index 0000000..0dbdf29
--- /dev/null
+++ b/draft/09_09_2026_config_cart_pushes_from_edges.json
@@ -0,0 +1,75 @@
+{
+  "seed": 3,
+  "bound_space_toplogy": "closed",
+  "num_radius_intervals": 100,
+  "lateral_oxygen_production_min_z": -6500.0,
+  "lateral_oxygen_production_max_z": 6500.0,
+  "min_initial_z_substances": -300.0,
+  "max_initial_z_substances": 300.0,
+  "diffuse_oxygen_on_z_axis": true,
+  "diffuse_glucose_on_z_axis": false,
+  "output_performance_statistics": false,
+  "total_minutes_to_simulate": 4320,
+  "output_csv_interval": 600,
+  "bounded_space_length": 6500.0,
+  "tumor_shape": "cylinder",
+  "output_information_dependent_on_radius": true,
+  "cylindrical_tumor_radius": 3000.0,
+  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+  "cylindrical_tumor_height": 100.0,
+  "initial_number_of_cylindrical_tumor_cells": 28000,
+  "default_volume_new_tumor_cell": 1468.0,
+  "std_volume_new_tumor_cell": 166,
+  "min_volume_new_tumor_cell": 1136.0,
+  "max_volume_new_tumor_cell": 1800.0,
+  "default_volume_new_cart_cell": 269.0,
+  "std_volume_new_cart_cell": 33.625,
+  "min_volume_new_cart_cell": 201.75,
+  "max_volume_new_cart_cell": 336.25,
+  "oncoprotein_mean": 1.0,
+  "oncoprotein_standard_deviation": 0.0,
+  "initial_oxygen_level": 0.0,
+  "oxygen_reference_level": 165.0,
+  "default_oxygen_consumption_tumor_cell": 77.47,
+  "default_glucose_consumption_tumor_cell": 0.045,
+  "diffusion_coefficient_oxygen": 180000.0,
+  "decay_constant_oxygen": 0.01,
+  "time_apoptosis": 6000.0,
+  "time_lysis": 6000.0,
+  "average_time_transformation_random_rate": 72,
+  "standard_deviation_transformation_random_rate": 15.0,
+  "decay_constant_glucose": 0.0005,
+  "oxygen_saturation_for_proliferation": 13.74,
+  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_limit_for_necrosis_maximum": 0.0,
+  "oxygen_limit_for_necrosis": 45.0,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "reduction_consumption_dead_cells": 0.0,
+  "basal_death_probability_cancer_cells": 5e-06,
+  "bounded_space_min_allowed_z": -50.0,
+  "bounded_space_max_allowed_z": 50.0,
+  "bounded_space_max_allowed_radius": 3250.0,
+  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+  "add_immunostimulatory_factor": true,
+  "add_glucose": true,
+  "diffusion_coefficient_glucose": 7800,
+  "initial_glucose_level": 24.98,
+  "max_radius_glucose_initialization": 3100.0,
+  "treatment": {
+    "0": 560000
+  },
+  "default_oxygen_consumption_cart": 0,
+  "default_glucose_consumption_cart": 0.007,
+  "adhesion_rate_cart": 8.5e-06,
+  "glucose_saturation_for_tumor_cell_growth": 24.98,
+  "glucose_limit_for_tumor_cell_growth": 0,
+  "glucose_limit_for_death": 5,
+  "glucose_limit_for_death_maximum": 0,
+  "maximum_death_lack_of_glucose_rate": 0.000175,
+  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+  "avg_migration_bias_cart": 0,
+  "std_migration_bias_cart": 0.135,
+  "persistence_time_cart": 0,
+  "diffusion_coefficient_immunostimulatory_factor": 100000,
+  "decay_constant_immunostimulatory_factor": 1e-05
+}
\ No newline at end of file

From f9bf20f0b2d7f66c1392817819dc9a2607f61cf9 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sun, 13 Sep 2026 18:51:37 +0200
Subject: [PATCH 38/54] cart cytotoxicity and glucose consumption

---
 draft/analysis_radius_atribute.py               |   2 +-
 .../tumor_cells_type5_dead_radius_vs_radius.png | Bin 98572 -> 0 bytes
 ...ype5_dead_radius_vs_radius_no_normalized.png | Bin 75359 -> 0 bytes
 params.json                                     |  12 ++++++------
 4 files changed, 7 insertions(+), 7 deletions(-)
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius_no_normalized.png

diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index b871e24..99223a5 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -30,7 +30,7 @@
 # MINUTE = 1440 # change this to the minute you want to plot
 MINUTE = 4320 # change this to the minute you want to plot
 # ATTRIBUTE= "num_alive_tumor_cells_radius"
-ATTRIBUTE= "tumor_cells_type5_dead_radius"
+ATTRIBUTE= "tumor_cells_type5_dead_radius" # tumor_cells_type5_dead_radius num_alive_cart_cells_radius
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
 # ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
 # ATTRIBUTE ="average_glucose_all_cells_radius"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
deleted file mode 100644
index 8bbf8d7d0f2c91e1601abe9a25ae40ade8df265f..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/params.json b/params.json
index ba0bef5..ba748ad 100644
--- a/params.json
+++ b/params.json
@@ -1,5 +1,5 @@
 {
-  "seed": 427,
+  "seed": 0,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 100,
   "lateral_oxygen_production_min_z": -6500.0,
@@ -43,9 +43,9 @@
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
+  "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
@@ -54,13 +54,13 @@
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
+  "max_radius_glucose_initialization": 3100.0,
   "treatment": {
     "0": 560000
   },
   "default_oxygen_consumption_cart": 0,
   "default_glucose_consumption_cart": 0.007,
-  "adhesion_rate_cart": 0.0000085,
+  "adhesion_rate_cart": 8.5e-06,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
@@ -71,5 +71,5 @@
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 0.00001
+  "decay_constant_immunostimulatory_factor": 1e-05
 }
\ No newline at end of file

From 9d2dc1631594e0fbe0935267e47e23250dd1ee77 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 25 Sep 2026 11:02:41 +0200
Subject: [PATCH 39/54] cart cell oxygen consumption and necrosis limit with
 treatment

---
 .../experiment_200/optuna_results.csv         |   9 +++
 abm_calibration/optimize.py                   |  49 +++++++-------
 draft/analysis_radius_atribute.py             |   2 +-
 draft/experimentation.py                      |  26 ++++----
 draft/generatecsv.py                          |   2 +-
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 0 -> 60888 bytes
 params.json                                   |  24 +++----
 probability_necrosis_debug.csv                |  63 ++++++++++++++++++
 src/agents/tumor_cell.cc                      |  27 ++++++++
 9 files changed, 150 insertions(+), 52 deletions(-)
 create mode 100644 abm_calibration/experiment_200/optuna_results.csv
 create mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png
 create mode 100644 probability_necrosis_debug.csv

diff --git a/abm_calibration/experiment_200/optuna_results.csv b/abm_calibration/experiment_200/optuna_results.csv
new file mode 100644
index 0000000..19d42f0
--- /dev/null
+++ b/abm_calibration/experiment_200/optuna_results.csv
@@ -0,0 +1,9 @@
+number,value,datetime_start,datetime_complete,duration,params_default_oxygen_consumption_cart,state
+0,6.0,2026-09-13 19:48:57.681920,2026-09-14 01:15:56.741757,0 days 05:26:59.059837,288.40000000000003,COMPLETE
+1,8.333333333333334,2026-09-14 01:15:56.769751,2026-09-14 06:42:07.398738,0 days 05:26:10.628987,732.1,COMPLETE
+2,6.333333333333333,2026-09-14 06:42:07.422410,2026-09-14 12:07:10.778289,0 days 05:25:03.355879,563.7,COMPLETE
+3,5.0,2026-09-14 12:07:10.803314,2026-09-14 17:35:58.696305,0 days 05:28:47.892991,461.00000000000006,COMPLETE
+4,6.666666666666667,2026-09-14 17:35:58.727606,2026-09-14 23:01:35.747612,0 days 05:25:37.020006,120.2,COMPLETE
+5,8.0,2026-09-14 23:01:35.771568,2026-09-15 04:27:09.837550,0 days 05:25:34.065982,120.2,COMPLETE
+6,8.0,2026-09-15 04:27:09.862430,2026-09-15 09:56:04.868793,0 days 05:28:55.006363,44.800000000000004,COMPLETE
+7,,2026-09-15 09:56:04.893594,,,667.0000000000001,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 86eb84f..9fcf11d 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 120
+EXPERIMENT_ID = 200
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 10000
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
+NUMBER_MONTE_CARLO = 3
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -59,8 +59,8 @@ def run_ABM(params, seed):
     #     "basal_death_probability_cancer_cells"
     # ]
 
-    adhesion_rate_cart = params[
-        "adhesion_rate_cart"
+    default_oxygen_consumption_cart = params[
+        "default_oxygen_consumption_cart"
     ]
     # default_glucose_consumption_tumor_cell = params[
     #     "default_glucose_consumption_tumor_cell"
@@ -74,11 +74,11 @@ def run_ABM(params, seed):
   "seed": seed,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -6500.0,
-  "lateral_oxygen_production_max_z": 6500.0,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": True,
+  "diffuse_oxygen_on_z_axis": False,
   "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
@@ -108,9 +108,6 @@ def run_ABM(params, seed):
   "decay_constant_oxygen": 0.01,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
-  "treatment": {
-    "0": 56000
-  },
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
@@ -118,9 +115,9 @@ def run_ABM(params, seed):
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
+  "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
@@ -129,9 +126,13 @@ def run_ABM(params, seed):
   "add_glucose": True,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 0.07,
+  "max_radius_glucose_initialization": 3100.0,
+  "treatment": {
+    "0": 2800 #560000 changed
+  },
+  "default_oxygen_consumption_cart": default_oxygen_consumption_cart,
+  "default_glucose_consumption_cart": 1.4,#0.007 changed
+  "adhesion_rate_cart": 0.0017,#8.5e-06 changed
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
@@ -141,10 +142,8 @@ def run_ABM(params, seed):
   "avg_migration_bias_cart": 0,
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": adhesion_rate_cart,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 0.00001
+  "decay_constant_immunostimulatory_factor": 1e-05
 }
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
@@ -173,14 +172,14 @@ def compute_error():
 
 #     # See the value at the minute 30 for the average oxygen level in the simulation data
     row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    value_border = row["tumor_cells_type5_dead_radius_2850_to_3000"]
+    # value_border = row["tumor_cells_type5_dead_radius_2850_to_3000"]
 #     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
-    target_value_border = 780
-    # value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
-#     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    # target_value_center = 10.6
+    # target_value_border = 780
+    value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
+    # value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
+    target_value_center = 21
 
-    error_total_tumor_cells = abs(value_border - target_value_border)
+    error_total_tumor_cells = abs(value_center - target_value_center)
 
     return float(error_total_tumor_cells)
 
@@ -355,7 +354,7 @@ def compute_error():
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "adhesion_rate_cart": trial.suggest_float("adhesion_rate_cart", 0.00023, 0.00026, step=0.000005),
+        "default_oxygen_consumption_cart": trial.suggest_float("default_oxygen_consumption_cart", 0.1,  770, step=0.1),
         # "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
         # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
         # "kill_rate_cart": trial.suggest_float("kill_rate_cart", 0.001, 0.999, step=0.001),
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index 99223a5..e1c0e09 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -70,7 +70,7 @@
     ring_area = np.pi * (r_out**2 - r_in**2)
     # print(raw_values)
     # print("a")
-    # print(ring_area)
+    print(ring_area)
     raw_values = raw_values / ring_area
 
 
diff --git a/draft/experimentation.py b/draft/experimentation.py
index eeb66c9..6e08659 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -40,15 +40,15 @@
 
 def run_ABM(seed):
 
-    config={
+    config = {
   "seed": seed,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 100,
-  "lateral_oxygen_production_min_z": -6500.0,
-  "lateral_oxygen_production_max_z": 6500.0,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": True,
+  "diffuse_oxygen_on_z_axis": False,
   "diffuse_glucose_on_z_axis": False,
   "output_performance_statistics": False,
   "total_minutes_to_simulate": 4320,
@@ -84,10 +84,10 @@ def run_ABM(seed):
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
+  "oxygen_limit_for_necrosis": 7.1,
+  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
   "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
+  "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
   "bounded_space_max_allowed_z": 50.0,
   "bounded_space_max_allowed_radius": 3250.0,
@@ -96,13 +96,13 @@ def run_ABM(seed):
   "add_glucose": True,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
+  "max_radius_glucose_initialization": 3100.0,
   "treatment": {
-    "0": 560000
+    "0": 2800     #2800 #560000 changed
   },
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 0.007,
-  "adhesion_rate_cart": 0.0000085,
+  "default_oxygen_consumption_cart": 3200,
+  "default_glucose_consumption_cart": 1.4,#0.007 changed
+  "adhesion_rate_cart": 0.0017,#8.5e-06 changed
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
@@ -113,7 +113,7 @@ def run_ABM(seed):
   "std_migration_bias_cart": 0.135,
   "persistence_time_cart": 0,
   "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 0.00001
+  "decay_constant_immunostimulatory_factor": 1e-05
 }
 
     # Save the config parameters for this run to the params.json file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
index b438754..4e49d77 100644
--- a/draft/generatecsv.py
+++ b/draft/generatecsv.py
@@ -28,7 +28,7 @@
 import optuna
 import pandas as pd
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 120
+EXPERIMENT_ID = 200
 SEED = 42
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
new file mode 100644
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zt!)K9Da-1OU(nUnedNSk`uI`=BZHU4VY+Ey0{X(PRwsp8Zdh<+1>Wmvb4cN!n0U^(
zkh(1*#701RAIO*&oDwR}NRiAA$K8xwNLO%w_=(m~Vr&np&gJLlEA!{sI6+aiGRp1?
zVrJkU0bp4?&LqLY>m74<Lvq&8sArmrEQeUz6Qn1`rnGe(Z_)w-DTyN;Yhclj&`aSX
zUN$!Bz;p%p`udU{_jpC`Ye}jIN+RrQp!j<B)vMzWIHBE2OSs>hL5Q$%=YmKPoJVO*
zZTQY_KEncEzG~OiFD;tr4zDcR36&5DcSxHg($W;ahw|~L3g>T-D^WEA;u&?V9D|4i
z2z3#Itu2W^nHi$vAgsr^I0h5ggit*wI9NC4nHy9*6kC8Dba)P^iBe2Qiwoj?U{YcB
z!hLQKYV^J16SbC>mVA8oD7pyr;dRKM7}TmJ!k{B5RRs)<Kc$y6+!iUCrY|oK&jF(L
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z)W3zE?<WQ6)h#@(T|s)J-VR!_cY5j|L~Tm`{u5d0Mv#9fdEbU0$=H3gaT4DEY<@OK
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zw<1+w>{KnO{$v}Pe{s?iq^mF$MH}m?1(`vl`<TJh5b*ULQd|ky=~fXD5kN1}mX>hA
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literal 0
HcmV?d00001

diff --git a/params.json b/params.json
index ba748ad..122c0de 100644
--- a/params.json
+++ b/params.json
@@ -1,15 +1,15 @@
 {
-  "seed": 0,
+  "seed": 100,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 100,
-  "lateral_oxygen_production_min_z": -6500.0,
-  "lateral_oxygen_production_max_z": 6500.0,
+  "num_radius_intervals": 20,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": true,
+  "diffuse_oxygen_on_z_axis": false,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
+  "total_minutes_to_simulate": 60,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
@@ -42,8 +42,8 @@
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "oxygen_limit_for_necrosis": 13.6515,
+  "maximum_necrosis_lack_of_oxygen_rate": 3.0926e-05,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
@@ -56,11 +56,11 @@
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
   "treatment": {
-    "0": 560000
+    "0": 0
   },
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 0.007,
-  "adhesion_rate_cart": 8.5e-06,
+  "default_oxygen_consumption_cart": 5000,
+  "default_glucose_consumption_cart": 1.4,
+  "adhesion_rate_cart": 0.0017,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
diff --git a/probability_necrosis_debug.csv b/probability_necrosis_debug.csv
new file mode 100644
index 0000000..dce8a6e
--- /dev/null
+++ b/probability_necrosis_debug.csv
@@ -0,0 +1,63 @@
+step,x,y,z,oxygen_level,glucose_level,multiplier,probability_necrosis,enter_necrosis
+600,-121.036,-36.7978,1.10769,5.22227,24.1259,0.617458,0.000114573,0
+600,-88.3086,-77.0306,-35.5055,5.22312,24.1277,0.617396,0.000114562,0
+600,-90.8392,-30.207,-43.541,5.22312,24.1277,0.617396,0.000114562,0
+600,-25.7218,-102.315,-13.0007,5.22312,24.1277,0.617396,0.000114562,0
+600,-65.9295,-38.8751,-11.0868,5.22312,24.1277,0.617396,0.000114562,0
+600,-96.8559,-62.4807,-5.7026,5.22312,24.1277,0.617396,0.000114562,0
+600,-37.5689,-124.394,49.7263,5.22227,24.1259,0.617458,0.000114573,0
+600,-111.065,-58.4759,41.1203,5.22227,24.1259,0.617458,0.000114573,0
+600,-85.4194,-89.4007,18.72,5.22227,24.1259,0.617458,0.000114573,0
+600,-91.4503,-93.3932,43.774,5.22227,24.1259,0.617458,0.000114573,0
+600,12.0291,-119.039,9.62262,5.21768,24.1252,0.617794,0.000114635,0
+600,89.3381,-117.569,8.75646,5.21768,24.1252,0.617794,0.000114635,0
+600,9.08037,-38.4007,-30.3589,5.26236,24.13,0.614521,0.000114028,0
+600,22.3059,-38.5649,-40.3265,5.26236,24.13,0.614521,0.000114028,0
+600,-9.95036,-100.832,-21.0813,5.22312,24.1277,0.617396,0.000114562,0
+600,29.9989,-81.8214,-2.83865,5.26236,24.13,0.614521,0.000114028,0
+600,53.3689,-84.3322,13.5902,5.21768,24.1252,0.617794,0.000114635,0
+600,89.5981,-78.9929,-17.446,5.26236,24.13,0.614521,0.000114028,0
+600,37.4186,-112.137,34.9766,5.21768,24.1252,0.617794,0.000114635,0
+600,-139.119,-6.63732,15.5719,5.31864,24.1262,0.610399,0.000113263,0
+600,-139.113,31.7402,-5.79218,5.32753,24.1268,0.609747,0.000113142,0
+600,-71.4549,55.8045,-35.4438,5.25684,24.1292,0.614926,0.000114103,0
+600,-66.3992,-25.685,-22.5736,5.22312,24.1277,0.617396,0.000114562,0
+600,-80.1923,-6.44179,-22.9965,5.22312,24.1277,0.617396,0.000114562,0
+600,-59.4579,-13.207,-10.958,5.22312,24.1277,0.617396,0.000114562,0
+600,-30.9434,-11.0339,-3.63889,5.22312,24.1277,0.617396,0.000114562,0
+600,-91.0153,32.9839,1.31024,5.18502,24.1236,0.620187,0.000115079,0
+600,-51.875,24.4643,-9.22567,5.25684,24.1292,0.614926,0.000114103,0
+600,-46.4105,32.3024,3.52247,5.18502,24.1236,0.620187,0.000115079,0
+600,-130.746,64.2774,5.09689,5.32656,24.1259,0.609818,0.000113155,0
+600,-57.6991,105.364,-48.5081,5.25684,24.1292,0.614926,0.000114103,0
+600,-107.398,73.3095,-26.5997,5.25684,24.1292,0.614926,0.000114103,0
+600,-128.125,3.24995,37.9741,5.18502,24.1236,0.620187,0.000115079,0
+600,-149.317,6.90122,41.1044,5.32656,24.1259,0.609818,0.000113155,0
+600,-82.524,-20.6775,46.7078,5.22227,24.1259,0.617458,0.000114573,0
+600,-44.6935,18.4681,16.4273,5.18502,24.1236,0.620187,0.000115079,0
+600,-60.8414,40.5727,45.1873,5.18502,24.1236,0.620187,0.000115079,0
+600,-116.172,93.4707,18.2698,5.18502,24.1236,0.620187,0.000115079,0
+600,-53.2476,70.9582,31.5231,5.18502,24.1236,0.620187,0.000115079,0
+600,33.1382,-11.7362,-43.9508,5.26236,24.13,0.614521,0.000114028,0
+600,50.087,-15.8146,11.2742,5.21768,24.1252,0.617794,0.000114635,0
+600,82.0016,-6.95932,-41.0021,5.26236,24.13,0.614521,0.000114028,0
+600,89.4249,3.32231,-43.9913,5.2116,24.1275,0.61824,0.000114718,0
+600,120.657,31.6992,-42.914,5.2116,24.1275,0.61824,0.000114718,0
+600,128.113,0.0317006,16.6201,5.14533,24.1208,0.623094,0.000115619,0
+600,117.185,5.15474,11.4483,5.14533,24.1208,0.623094,0.000115619,0
+600,99.8019,43.472,-16.4377,5.2116,24.1275,0.61824,0.000114718,0
+600,99.2219,31.4354,-1.26401,5.2116,24.1275,0.61824,0.000114718,0
+600,85.4225,42.5821,6.61558,5.14533,24.1208,0.623094,0.000115619,0
+600,97.862,40.9525,11.2612,5.14533,24.1208,0.623094,0.000115619,0
+600,113.438,48.9913,9.55568,5.14533,24.1208,0.623094,0.000115619,0
+600,21.3479,106.965,-47.3004,5.2116,24.1275,0.61824,0.000114718,0
+600,51.84,82.6387,-16.022,5.2116,24.1275,0.61824,0.000114718,0
+600,122.22,83.1794,-39.4914,5.2116,24.1275,0.61824,0.000114718,0
+600,107.239,99.1202,-18.1588,5.2116,24.1275,0.61824,0.000114718,0
+600,111.177,81.2558,-12.9535,5.2116,24.1275,0.61824,0.000114718,0
+600,75.8255,120.838,-4.6006,5.2116,24.1275,0.61824,0.000114718,0
+600,18.7011,-5.25789,39.4802,5.21768,24.1252,0.617794,0.000114635,0
+600,25.9222,116.709,25.9288,5.14533,24.1208,0.623094,0.000115619,0
+600,39.0303,120.715,28.9143,5.14533,24.1208,0.623094,0.000115619,0
+600,87.2555,79.1057,32.8955,5.14533,24.1208,0.623094,0.000115619,0
+600,72.7347,94.3806,26.3026,5.14533,24.1208,0.623094,0.000115619,0
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index fd1c560..68a773e 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -39,6 +39,10 @@
 #include <cstdint>
 #include <stdexcept>
 #include <string>
+// //Debug
+// #include "core/scheduler.h"
+// #include <fstream>
+// //End Debug
 
 namespace bdm {
 
@@ -726,6 +730,29 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
   // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
   const real_t probability_necrosis = sparams->dt_cycle * maximum_necrosis_rate_oxygen_multiplier;
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
+
+//   //Debug
+//   {
+//     const Real3& debug_pos = cell->GetPosition();
+//     if (debug_pos[0] * debug_pos[0] + debug_pos[1] * debug_pos[1] < 150.0 * 150.0) {
+// #pragma omp critical(debug_probability_necrosis_csv)
+//       {
+//         static std::ofstream debug_csv = [] {
+//           std::ofstream file("probability_necrosis_debug.csv");
+//           file << "step,x,y,z,oxygen_level,glucose_level,multiplier,"
+//                   "probability_necrosis,enter_necrosis\n";
+//           return file;
+//         }();
+//         debug_csv << sim->GetScheduler()->GetSimulatedSteps() << ','
+//                   << debug_pos[0] << ',' << debug_pos[1] << ',' << debug_pos[2]
+//                   << ',' << oxygen_level << ',' << glucose_level << ','
+//                   << multiplier << ',' << probability_necrosis << ','
+//                   << static_cast<int>(enter_necrosis) << '\n';
+//       }
+//     }
+//   }
+//   //End Debug
+
   // If the random number is less than the probability, enter necrosis
   if (enter_necrosis) {
     // If oxygen is too low, enter necrosis

From eb36cf76415152850f311c935eaf41974bd173be Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Fri, 25 Sep 2026 11:04:24 +0200
Subject: [PATCH 40/54] cart cell oxygen consumption and necrosis limit with
 treatment on json file

---
 bdm.toml                 |  2 +-
 draft/experimentation.py |  2 +-
 params.json              | 12 ++++++------
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/bdm.toml b/bdm.toml
index a124c49..07f34a1 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = true
+export = false
 interval = 1200
 
 [[visualize_agent]]
diff --git a/draft/experimentation.py b/draft/experimentation.py
index 6e08659..eb4e096 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -98,7 +98,7 @@ def run_ABM(seed):
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
   "treatment": {
-    "0": 2800     #2800 #560000 changed
+    "0": 0     #2800 #560000 changed
   },
   "default_oxygen_consumption_cart": 3200,
   "default_glucose_consumption_cart": 1.4,#0.007 changed
diff --git a/params.json b/params.json
index 122c0de..a66eeb2 100644
--- a/params.json
+++ b/params.json
@@ -1,7 +1,7 @@
 {
-  "seed": 100,
+  "seed": 0,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
+  "num_radius_intervals": 100,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
@@ -9,7 +9,7 @@
   "diffuse_oxygen_on_z_axis": false,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 60,
+  "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
@@ -42,8 +42,8 @@
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 13.6515,
-  "maximum_necrosis_lack_of_oxygen_rate": 3.0926e-05,
+  "oxygen_limit_for_necrosis": 7.1,
+  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
@@ -58,7 +58,7 @@
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_cart": 5000,
+  "default_oxygen_consumption_cart": 3200,
   "default_glucose_consumption_cart": 1.4,
   "adhesion_rate_cart": 0.0017,
   "glucose_saturation_for_tumor_cell_growth": 24.98,

From 2f67623513213a25dbee449356d9dfb06aa1b153 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Mon, 28 Sep 2026 17:11:53 +0200
Subject: [PATCH 41/54] correct the oxygen consumption for 560000 cart cells

---
 bdm.toml                 |  2 +-
 draft/experimentation.py |  8 ++++----
 params.json              | 12 ++++++------
 3 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/bdm.toml b/bdm.toml
index 07f34a1..a124c49 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = false
+export = true
 interval = 1200
 
 [[visualize_agent]]
diff --git a/draft/experimentation.py b/draft/experimentation.py
index eb4e096..2be26a3 100644
--- a/draft/experimentation.py
+++ b/draft/experimentation.py
@@ -98,11 +98,11 @@ def run_ABM(seed):
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
   "treatment": {
-    "0": 0     #2800 #560000 changed
+    "0": 560000     #2800 #560000 changed
   },
-  "default_oxygen_consumption_cart": 3200,
-  "default_glucose_consumption_cart": 1.4,#0.007 changed
-  "adhesion_rate_cart": 0.0017,#8.5e-06 changed
+  "default_oxygen_consumption_cart": 16, #3200 for 2800 cells#16
+  "default_glucose_consumption_cart": 0.007,#1.4 for 2800 cells#0.007 changed
+  "adhesion_rate_cart": 8.5e-06,#0.0017 for 2800 cells,#8.5e-06 changed
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,
diff --git a/params.json b/params.json
index a66eeb2..122c0de 100644
--- a/params.json
+++ b/params.json
@@ -1,7 +1,7 @@
 {
-  "seed": 0,
+  "seed": 100,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 100,
+  "num_radius_intervals": 20,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
@@ -9,7 +9,7 @@
   "diffuse_oxygen_on_z_axis": false,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
+  "total_minutes_to_simulate": 60,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
@@ -42,8 +42,8 @@
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 7.1,
-  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
+  "oxygen_limit_for_necrosis": 13.6515,
+  "maximum_necrosis_lack_of_oxygen_rate": 3.0926e-05,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
@@ -58,7 +58,7 @@
   "treatment": {
     "0": 0
   },
-  "default_oxygen_consumption_cart": 3200,
+  "default_oxygen_consumption_cart": 5000,
   "default_glucose_consumption_cart": 1.4,
   "adhesion_rate_cart": 0.0017,
   "glucose_saturation_for_tumor_cell_growth": 24.98,

From f25b8f0a9525070f42941cc61197bc73157d1e10 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 30 Sep 2026 10:38:08 +0200
Subject: [PATCH 42/54] parameters hypoxia treatment

---
 bdm.toml                                      |   2 +-
 draft/analysis_radius_atribute.py             |  10 +--
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 58452 -> 51577 bytes
 .../data_dependent_on_radius_tumor.csv        |  74 ++++++++++++++++++
 draft/execution_seed_0/final_data.csv         |  74 ++++++++++++++++++
 params.json                                   |  18 ++---
 6 files changed, 163 insertions(+), 15 deletions(-)
 create mode 100644 draft/execution_seed_0/data_dependent_on_radius_tumor.csv
 create mode 100644 draft/execution_seed_0/final_data.csv

diff --git a/bdm.toml b/bdm.toml
index a124c49..07f34a1 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = true
+export = false
 interval = 1200
 
 [[visualize_agent]]
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
index e1c0e09..872c003 100644
--- a/draft/analysis_radius_atribute.py
+++ b/draft/analysis_radius_atribute.py
@@ -28,18 +28,18 @@
 # ---- settings ----
 CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
 # MINUTE = 1440 # change this to the minute you want to plot
-MINUTE = 4320 # change this to the minute you want to plot
+MINUTE = 60 # change this to the minute you want to plot
 # ATTRIBUTE= "num_alive_tumor_cells_radius"
-ATTRIBUTE= "tumor_cells_type5_dead_radius" # tumor_cells_type5_dead_radius num_alive_cart_cells_radius
+ATTRIBUTE= "average_oxygen_cancer_cells_radius" # tumor_cells_type5_dead_radius num_alive_cart_cells_radius
 # ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
 # ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
 # ATTRIBUTE ="average_glucose_all_cells_radius"
 # other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius", "num_alive_cart_cells_radius"
 # "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-# DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
+# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
 # APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-APPLY_RADIAL_NORMALIZATION = True  # change this to True if you want to apply radial normalization to the attribute
+APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
 Y_MIN = 0
 Y_MAX = None
 
diff --git a/draft/average_oxygen_cancer_cells_radius_vs_radius.png b/draft/average_oxygen_cancer_cells_radius_vs_radius.png
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diff --git a/draft/execution_seed_0/data_dependent_on_radius_tumor.csv b/draft/execution_seed_0/data_dependent_on_radius_tumor.csv
new file mode 100644
index 0000000..9ce7a2b
--- /dev/null
+++ b/draft/execution_seed_0/data_dependent_on_radius_tumor.csv
@@ -0,0 +1,74 @@
+total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_30,num_dead_cells_radius_0_to_30,total_num_cells_radius_0_to_30,num_alive_tumor_cells_radius_0_to_30,total_num_tumor_cells_radius_0_to_30,num_alive_cart_cells_radius_0_to_30,num_dead_cart_cells_radius_0_to_30,tumor_cells_type1_radius_0_to_30,tumor_cells_type2_radius_0_to_30,tumor_cells_type3_radius_0_to_30,tumor_cells_type4_radius_0_to_30,tumor_cells_type5_dead_radius_0_to_30,average_oncoprotein_radius_0_to_30,average_oxygen_cancer_cells_radius_0_to_30,average_oxygen_all_cells_radius_0_to_30,average_glucose_cancer_cells_radius_0_to_30,average_glucose_all_cells_radius_0_to_30,average_radius_distance_living_cart_cells_radius_0_to_30,num_alive_cells_radius_30_to_60,num_dead_cells_radius_30_to_60,total_num_cells_radius_30_to_60,num_alive_tumor_cells_radius_30_to_60,total_num_tumor_cells_radius_30_to_60,num_alive_cart_cells_radius_30_to_60,num_dead_cart_cells_radius_30_to_60,tumor_cells_type1_radius_30_to_60,tumor_cells_type2_radius_30_to_60,tumor_cells_type3_radius_30_to_60,tumor_cells_type4_radius_30_to_60,tumor_cells_type5_dead_radius_30_to_60,average_oncoprotein_radius_30_to_60,average_oxygen_cancer_cells_radius_30_to_60,average_oxygen_all_cells_radius_30_to_60,average_glucose_cancer_cells_radius_30_to_60,average_glucose_all_cells_radius_30_to_60,average_radius_distance_living_cart_cells_radius_30_to_60,num_alive_cells_radius_60_to_90,num_dead_cells_radius_60_to_90,total_num_cells_radius_60_to_90,num_alive_tumor_cells_radius_60_to_90,total_num_tumor_cells_radius_60_to_90,num_alive_cart_cells_radius_60_to_90,num_dead_cart_cells_radius_60_to_90,tumor_cells_type1_radius_60_to_90,tumor_cells_type2_radius_60_to_90,tumor_cells_type3_radius_60_to_90,tumor_cells_type4_radius_60_to_90,tumor_cells_type5_dead_radius_60_to_90,average_oncoprotein_radius_60_to_90,average_oxygen_cancer_cells_radius_60_to_90,average_oxygen_all_cells_radius_60_to_90,average_glucose_cancer_cells_radius_60_to_90,average_glucose_all_cells_radius_60_to_90,average_radius_distance_living_cart_cells_radius_60_to_90,num_alive_cells_radius_90_to_120,num_dead_cells_radius_90_to_120,total_num_cells_radius_90_to_120,num_alive_tumor_cells_radius_90_to_120,total_num_tumor_cells_radius_90_to_120,num_alive_cart_cells_radius_90_to_120,num_dead_cart_cells_radius_90_to_120,tumor_cells_type1_radius_90_to_120,tumor_cells_type2_radius_90_to_120,tumor_cells_type3_radius_90_to_120,tumor_cells_type4_radius_90_to_120,tumor_cells_type5_dead_radius_90_to_120,average_oncoprotein_radius_90_to_120,average_oxygen_cancer_cells_radius_90_to_120,average_oxygen_all_cells_radius_90_to_120,average_glucose_cancer_cells_radius_90_to_120,average_glucose_all_cells_radius_90_to_120,average_radius_distance_living_cart_cells_radius_90_to_120,num_alive_cells_radius_120_to_150,num_dead_cells_radius_120_to_150,total_num_cells_radius_120_to_150,num_alive_tumor_cells_radius_120_to_150,total_num_tumor_cells_radius_120_to_150,num_alive_cart_cells_radius_120_to_150,num_dead_cart_cells_radius_120_to_150,tumor_cells_type1_radius_120_to_150,tumor_cells_type2_radius_120_to_150,tumor_cells_type3_radius_120_to_150,tumor_cells_type4_radius_120_to_150,tumor_cells_type5_dead_radius_120_to_150,average_oncoprotein_radius_120_to_150,average_oxygen_cancer_cells_radius_120_to_150,average_oxygen_all_cells_radius_120_to_150,average_glucose_cancer_cells_radius_120_to_150,average_glucose_all_cells_radius_120_to_150,average_radius_distance_living_cart_cells_radius_120_to_150,num_alive_cells_radius_150_to_180,num_dead_cells_radius_150_to_180,total_num_cells_radius_150_to_180,num_alive_tumor_cells_radius_150_to_180,total_num_tumor_cells_radius_150_to_180,num_alive_cart_cells_radius_150_to_180,num_dead_cart_cells_radius_150_to_180,tumor_cells_type1_radius_150_to_180,tumor_cells_type2_radius_150_to_180,tumor_cells_type3_radius_150_to_180,tumor_cells_type4_radius_150_to_180,tumor_cells_type5_dead_radius_150_to_180,average_oncoprotein_radius_150_to_180,average_oxygen_cancer_cells_radius_150_to_180,average_oxygen_all_cells_radius_150_to_180,average_glucose_cancer_cells_radius_150_to_180,average_glucose_all_cells_radius_150_to_180,average_radius_distance_living_cart_cells_radius_150_to_180,num_alive_cells_radius_180_to_210,num_dead_cells_radius_180_to_210,total_num_cells_radius_180_to_210,num_alive_tumor_cells_radius_180_to_210,total_num_tumor_cells_radius_180_to_210,num_alive_cart_cells_radius_180_to_210,num_dead_cart_cells_radius_180_to_210,tumor_cells_type1_radius_180_to_210,tumor_cells_type2_radius_180_to_210,tumor_cells_type3_radius_180_to_210,tumor_cells_type4_radius_180_to_210,tumor_cells_type5_dead_radius_180_to_210,average_oncoprotein_radius_180_to_210,average_oxygen_cancer_cells_radius_180_to_210,average_oxygen_all_cells_radius_180_to_210,average_glucose_cancer_cells_radius_180_to_210,average_glucose_all_cells_radius_180_to_210,average_radius_distance_living_cart_cells_radius_180_to_210,num_alive_cells_radius_210_to_240,num_dead_cells_radius_210_to_240,total_num_cells_radius_210_to_240,num_alive_tumor_cells_radius_210_to_240,total_num_tumor_cells_radius_210_to_240,num_alive_cart_cells_radius_210_to_240,num_dead_cart_cells_radius_210_to_240,tumor_cells_type1_radius_210_to_240,tumor_cells_type2_radius_210_to_240,tumor_cells_type3_radius_210_to_240,tumor_cells_type4_radius_210_to_240,tumor_cells_type5_dead_radius_210_to_240,average_oncoprotein_radius_210_to_240,average_oxygen_cancer_cells_radius_210_to_240,average_oxygen_all_cells_radius_210_to_240,average_glucose_cancer_cells_radius_210_to_240,average_glucose_all_cells_radius_210_to_240,average_radius_distance_living_cart_cells_radius_210_to_240,num_alive_cells_radius_240_to_270,num_dead_cells_radius_240_to_270,total_num_cells_radius_240_to_270,num_alive_tumor_cells_radius_240_to_270,total_num_tumor_cells_radius_240_to_270,num_alive_cart_cells_radius_240_to_270,num_dead_cart_cells_radius_240_to_270,tumor_cells_type1_radius_240_to_270,tumor_cells_type2_radius_240_to_270,tumor_cells_type3_radius_240_to_270,tumor_cells_type4_radius_240_to_270,tumor_cells_type5_dead_radius_240_to_270,average_oncoprotein_radius_240_to_270,average_oxygen_cancer_cells_radius_240_to_270,average_oxygen_all_cells_radius_240_to_270,average_glucose_cancer_cells_radius_240_to_270,average_glucose_all_cells_radius_240_to_270,average_radius_distance_living_cart_cells_radius_240_to_270,num_alive_cells_radius_270_to_300,num_dead_cells_radius_270_to_300,total_num_cells_radius_270_to_300,num_alive_tumor_cells_radius_270_to_300,total_num_tumor_cells_radius_270_to_300,num_alive_cart_cells_radius_270_to_300,num_dead_cart_cells_radius_270_to_300,tumor_cells_type1_radius_270_to_300,tumor_cells_type2_radius_270_to_300,tumor_cells_type3_radius_270_to_300,tumor_cells_type4_radius_270_to_300,tumor_cells_type5_dead_radius_270_to_300,average_oncoprotein_radius_270_to_300,average_oxygen_cancer_cells_radius_270_to_300,average_oxygen_all_cells_radius_270_to_300,average_glucose_cancer_cells_radius_270_to_300,average_glucose_all_cells_radius_270_to_300,average_radius_distance_living_cart_cells_radius_270_to_300,num_alive_cells_radius_300_to_330,num_dead_cells_radius_300_to_330,total_num_cells_radius_300_to_330,num_alive_tumor_cells_radius_300_to_330,total_num_tumor_cells_radius_300_to_330,num_alive_cart_cells_radius_300_to_330,num_dead_cart_cells_radius_300_to_330,tumor_cells_type1_radius_300_to_330,tumor_cells_type2_radius_300_to_330,tumor_cells_type3_radius_300_to_330,tumor_cells_type4_radius_300_to_330,tumor_cells_type5_dead_radius_300_to_330,average_oncoprotein_radius_300_to_330,average_oxygen_cancer_cells_radius_300_to_330,average_oxygen_all_cells_radius_300_to_330,average_glucose_cancer_cells_radius_300_to_330,average_glucose_all_cells_radius_300_to_330,average_radius_distance_living_cart_cells_radius_300_to_330,num_alive_cells_radius_330_to_360,num_dead_cells_radius_330_to_360,total_num_cells_radius_330_to_360,num_alive_tumor_cells_radius_330_to_360,total_num_tumor_cells_radius_330_to_360,num_alive_cart_cells_radius_330_to_360,num_dead_cart_cells_radius_330_to_360,tumor_cells_type1_radius_330_to_360,tumor_cells_type2_radius_330_to_360,tumor_cells_type3_radius_330_to_360,tumor_cells_type4_radius_330_to_360,tumor_cells_type5_dead_radius_330_to_360,average_oncoprotein_radius_330_to_360,average_oxygen_cancer_cells_radius_330_to_360,average_oxygen_all_cells_radius_330_to_360,average_glucose_cancer_cells_radius_330_to_360,average_glucose_all_cells_radius_330_to_360,average_radius_distance_living_cart_cells_radius_330_to_360,num_alive_cells_radius_360_to_390,num_dead_cells_radius_360_to_390,total_num_cells_radius_360_to_390,num_alive_tumor_cells_radius_360_to_390,total_num_tumor_cells_radius_360_to_390,num_alive_cart_cells_radius_360_to_390,num_dead_cart_cells_radius_360_to_390,tumor_cells_type1_radius_360_to_390,tumor_cells_type2_radius_360_to_390,tumor_cells_type3_radius_360_to_390,tumor_cells_type4_radius_360_to_390,tumor_cells_type5_dead_radius_360_to_390,average_oncoprotein_radius_360_to_390,average_oxygen_cancer_cells_radius_360_to_390,average_oxygen_all_cells_radius_360_to_390,average_glucose_cancer_cells_radius_360_to_390,average_glucose_all_cells_radius_360_to_390,average_radius_distance_living_cart_cells_radius_360_to_390,num_alive_cells_radius_390_to_420,num_dead_cells_radius_390_to_420,total_num_cells_radius_390_to_420,num_alive_tumor_cells_radius_390_to_420,total_num_tumor_cells_radius_390_to_420,num_alive_cart_cells_radius_390_to_420,num_dead_cart_cells_radius_390_to_420,tumor_cells_type1_radius_390_to_420,tumor_cells_type2_radius_390_to_420,tumor_cells_type3_radius_390_to_420,tumor_cells_type4_radius_390_to_420,tumor_cells_type5_dead_radius_390_to_420,average_oncoprotein_radius_390_to_420,average_oxygen_cancer_cells_radius_390_to_420,average_oxygen_all_cells_radius_390_to_420,average_glucose_cancer_cells_radius_390_to_420,average_glucose_all_cells_radius_390_to_420,average_radius_distance_living_cart_cells_radius_390_to_420,num_alive_cells_radius_420_to_450,num_dead_cells_radius_420_to_450,total_num_cells_radius_420_to_450,num_alive_tumor_cells_radius_420_to_450,total_num_tumor_cells_radius_420_to_450,num_alive_cart_cells_radius_420_to_450,num_dead_cart_cells_radius_420_to_450,tumor_cells_type1_radius_420_to_450,tumor_cells_type2_radius_420_to_450,tumor_cells_type3_radius_420_to_450,tumor_cells_type4_radius_420_to_450,tumor_cells_type5_dead_radius_420_to_450,average_oncoprotein_radius_420_to_450,average_oxygen_cancer_cells_radius_420_to_450,average_oxygen_all_cells_radius_420_to_450,average_glucose_cancer_cells_radius_420_to_450,average_glucose_all_cells_radius_420_to_450,average_radius_distance_living_cart_cells_radius_420_to_450,num_alive_cells_radius_450_to_480,num_dead_cells_radius_450_to_480,total_num_cells_radius_450_to_480,num_alive_tumor_cells_radius_450_to_480,total_num_tumor_cells_radius_450_to_480,num_alive_cart_cells_radius_450_to_480,num_dead_cart_cells_radius_450_to_480,tumor_cells_type1_radius_450_to_480,tumor_cells_type2_radius_450_to_480,tumor_cells_type3_radius_450_to_480,tumor_cells_type4_radius_450_to_480,tumor_cells_type5_dead_radius_450_to_480,average_oncoprotein_radius_450_to_480,average_oxygen_cancer_cells_radius_450_to_480,average_oxygen_all_cells_radius_450_to_480,average_glucose_cancer_cells_radius_450_to_480,average_glucose_all_cells_radius_450_to_480,average_radius_distance_living_cart_cells_radius_450_to_480,num_alive_cells_radius_480_to_510,num_dead_cells_radius_480_to_510,total_num_cells_radius_480_to_510,num_alive_tumor_cells_radius_480_to_510,total_num_tumor_cells_radius_480_to_510,num_alive_cart_cells_radius_480_to_510,num_dead_cart_cells_radius_480_to_510,tumor_cells_type1_radius_480_to_510,tumor_cells_type2_radius_480_to_510,tumor_cells_type3_radius_480_to_510,tumor_cells_type4_radius_480_to_510,tumor_cells_type5_dead_radius_480_to_510,average_oncoprotein_radius_480_to_510,average_oxygen_cancer_cells_radius_480_to_510,average_oxygen_all_cells_radius_480_to_510,average_glucose_cancer_cells_radius_480_to_510,average_glucose_all_cells_radius_480_to_510,average_radius_distance_living_cart_cells_radius_480_to_510,num_alive_cells_radius_510_to_540,num_dead_cells_radius_510_to_540,total_num_cells_radius_510_to_540,num_alive_tumor_cells_radius_510_to_540,total_num_tumor_cells_radius_510_to_540,num_alive_cart_cells_radius_510_to_540,num_dead_cart_cells_radius_510_to_540,tumor_cells_type1_radius_510_to_540,tumor_cells_type2_radius_510_to_540,tumor_cells_type3_radius_510_to_540,tumor_cells_type4_radius_510_to_540,tumor_cells_type5_dead_radius_510_to_540,average_oncoprotein_radius_510_to_540,average_oxygen_cancer_cells_radius_510_to_540,average_oxygen_all_cells_radius_510_to_540,average_glucose_cancer_cells_radius_510_to_540,average_glucose_all_cells_radius_510_to_540,average_radius_distance_living_cart_cells_radius_510_to_540,num_alive_cells_radius_540_to_570,num_dead_cells_radius_540_to_570,total_num_cells_radius_540_to_570,num_alive_tumor_cells_radius_540_to_570,total_num_tumor_cells_radius_540_to_570,num_alive_cart_cells_radius_540_to_570,num_dead_cart_cells_radius_540_to_570,tumor_cells_type1_radius_540_to_570,tumor_cells_type2_radius_540_to_570,tumor_cells_type3_radius_540_to_570,tumor_cells_type4_radius_540_to_570,tumor_cells_type5_dead_radius_540_to_570,average_oncoprotein_radius_540_to_570,average_oxygen_cancer_cells_radius_540_to_570,average_oxygen_all_cells_radius_540_to_570,average_glucose_cancer_cells_radius_540_to_570,average_glucose_all_cells_radius_540_to_570,average_radius_distance_living_cart_cells_radius_540_to_570,num_alive_cells_radius_570_to_600,num_dead_cells_radius_570_to_600,total_num_cells_radius_570_to_600,num_alive_tumor_cells_radius_570_to_600,total_num_tumor_cells_radius_570_to_600,num_alive_cart_cells_radius_570_to_600,num_dead_cart_cells_radius_570_to_600,tumor_cells_type1_radius_570_to_600,tumor_cells_type2_radius_570_to_600,tumor_cells_type3_radius_570_to_600,tumor_cells_type4_radius_570_to_600,tumor_cells_type5_dead_radius_570_to_600,average_oncoprotein_radius_570_to_600,average_oxygen_cancer_cells_radius_570_to_600,average_oxygen_all_cells_radius_570_to_600,average_glucose_cancer_cells_radius_570_to_600,average_glucose_all_cells_radius_570_to_600,average_radius_distance_living_cart_cells_radius_570_to_600,num_alive_cells_radius_600_to_630,num_dead_cells_radius_600_to_630,total_num_cells_radius_600_to_630,num_alive_tumor_cells_radius_600_to_630,total_num_tumor_cells_radius_600_to_630,num_alive_cart_cells_radius_600_to_630,num_dead_cart_cells_radius_600_to_630,tumor_cells_type1_radius_600_to_630,tumor_cells_type2_radius_600_to_630,tumor_cells_type3_radius_600_to_630,tumor_cells_type4_radius_600_to_630,tumor_cells_type5_dead_radius_600_to_630,average_oncoprotein_radius_600_to_630,average_oxygen_cancer_cells_radius_600_to_630,average_oxygen_all_cells_radius_600_to_630,average_glucose_cancer_cells_radius_600_to_630,average_glucose_all_cells_radius_600_to_630,average_radius_distance_living_cart_cells_radius_600_to_630,num_alive_cells_radius_630_to_660,num_dead_cells_radius_630_to_660,total_num_cells_radius_630_to_660,num_alive_tumor_cells_radius_630_to_660,total_num_tumor_cells_radius_630_to_660,num_alive_cart_cells_radius_630_to_660,num_dead_cart_cells_radius_630_to_660,tumor_cells_type1_radius_630_to_660,tumor_cells_type2_radius_630_to_660,tumor_cells_type3_radius_630_to_660,tumor_cells_type4_radius_630_to_660,tumor_cells_type5_dead_radius_630_to_660,average_oncoprotein_radius_630_to_660,average_oxygen_cancer_cells_radius_630_to_660,average_oxygen_all_cells_radius_630_to_660,average_glucose_cancer_cells_radius_630_to_660,average_glucose_all_cells_radius_630_to_660,average_radius_distance_living_cart_cells_radius_630_to_660,num_alive_cells_radius_660_to_690,num_dead_cells_radius_660_to_690,total_num_cells_radius_660_to_690,num_alive_tumor_cells_radius_660_to_690,total_num_tumor_cells_radius_660_to_690,num_alive_cart_cells_radius_660_to_690,num_dead_cart_cells_radius_660_to_690,tumor_cells_type1_radius_660_to_690,tumor_cells_type2_radius_660_to_690,tumor_cells_type3_radius_660_to_690,tumor_cells_type4_radius_660_to_690,tumor_cells_type5_dead_radius_660_to_690,average_oncoprotein_radius_660_to_690,average_oxygen_cancer_cells_radius_660_to_690,average_oxygen_all_cells_radius_660_to_690,average_glucose_cancer_cells_radius_660_to_690,average_glucose_all_cells_radius_660_to_690,average_radius_distance_living_cart_cells_radius_660_to_690,num_alive_cells_radius_690_to_720,num_dead_cells_radius_690_to_720,total_num_cells_radius_690_to_720,num_alive_tumor_cells_radius_690_to_720,total_num_tumor_cells_radius_690_to_720,num_alive_cart_cells_radius_690_to_720,num_dead_cart_cells_radius_690_to_720,tumor_cells_type1_radius_690_to_720,tumor_cells_type2_radius_690_to_720,tumor_cells_type3_radius_690_to_720,tumor_cells_type4_radius_690_to_720,tumor_cells_type5_dead_radius_690_to_720,average_oncoprotein_radius_690_to_720,average_oxygen_cancer_cells_radius_690_to_720,average_oxygen_all_cells_radius_690_to_720,average_glucose_cancer_cells_radius_690_to_720,average_glucose_all_cells_radius_690_to_720,average_radius_distance_living_cart_cells_radius_690_to_720,num_alive_cells_radius_720_to_750,num_dead_cells_radius_720_to_750,total_num_cells_radius_720_to_750,num_alive_tumor_cells_radius_720_to_750,total_num_tumor_cells_radius_720_to_750,num_alive_cart_cells_radius_720_to_750,num_dead_cart_cells_radius_720_to_750,tumor_cells_type1_radius_720_to_750,tumor_cells_type2_radius_720_to_750,tumor_cells_type3_radius_720_to_750,tumor_cells_type4_radius_720_to_750,tumor_cells_type5_dead_radius_720_to_750,average_oncoprotein_radius_720_to_750,average_oxygen_cancer_cells_radius_720_to_750,average_oxygen_all_cells_radius_720_to_750,average_glucose_cancer_cells_radius_720_to_750,average_glucose_all_cells_radius_720_to_750,average_radius_distance_living_cart_cells_radius_720_to_750,num_alive_cells_radius_750_to_780,num_dead_cells_radius_750_to_780,total_num_cells_radius_750_to_780,num_alive_tumor_cells_radius_750_to_780,total_num_tumor_cells_radius_750_to_780,num_alive_cart_cells_radius_750_to_780,num_dead_cart_cells_radius_750_to_780,tumor_cells_type1_radius_750_to_780,tumor_cells_type2_radius_750_to_780,tumor_cells_type3_radius_750_to_780,tumor_cells_type4_radius_750_to_780,tumor_cells_type5_dead_radius_750_to_780,average_oncoprotein_radius_750_to_780,average_oxygen_cancer_cells_radius_750_to_780,average_oxygen_all_cells_radius_750_to_780,average_glucose_cancer_cells_radius_750_to_780,average_glucose_all_cells_radius_750_to_780,average_radius_distance_living_cart_cells_radius_750_to_780,num_alive_cells_radius_780_to_810,num_dead_cells_radius_780_to_810,total_num_cells_radius_780_to_810,num_alive_tumor_cells_radius_780_to_810,total_num_tumor_cells_radius_780_to_810,num_alive_cart_cells_radius_780_to_810,num_dead_cart_cells_radius_780_to_810,tumor_cells_type1_radius_780_to_810,tumor_cells_type2_radius_780_to_810,tumor_cells_type3_radius_780_to_810,tumor_cells_type4_radius_780_to_810,tumor_cells_type5_dead_radius_780_to_810,average_oncoprotein_radius_780_to_810,average_oxygen_cancer_cells_radius_780_to_810,average_oxygen_all_cells_radius_780_to_810,average_glucose_cancer_cells_radius_780_to_810,average_glucose_all_cells_radius_780_to_810,average_radius_distance_living_cart_cells_radius_780_to_810,num_alive_cells_radius_810_to_840,num_dead_cells_radius_810_to_840,total_num_cells_radius_810_to_840,num_alive_tumor_cells_radius_810_to_840,total_num_tumor_cells_radius_810_to_840,num_alive_cart_cells_radius_810_to_840,num_dead_cart_cells_radius_810_to_840,tumor_cells_type1_radius_810_to_840,tumor_cells_type2_radius_810_to_840,tumor_cells_type3_radius_810_to_840,tumor_cells_type4_radius_810_to_840,tumor_cells_type5_dead_radius_810_to_840,average_oncoprotein_radius_810_to_840,average_oxygen_cancer_cells_radius_810_to_840,average_oxygen_all_cells_radius_810_to_840,average_glucose_cancer_cells_radius_810_to_840,average_glucose_all_cells_radius_810_to_840,average_radius_distance_living_cart_cells_radius_810_to_840,num_alive_cells_radius_840_to_870,num_dead_cells_radius_840_to_870,total_num_cells_radius_840_to_870,num_alive_tumor_cells_radius_840_to_870,total_num_tumor_cells_radius_840_to_870,num_alive_cart_cells_radius_840_to_870,num_dead_cart_cells_radius_840_to_870,tumor_cells_type1_radius_840_to_870,tumor_cells_type2_radius_840_to_870,tumor_cells_type3_radius_840_to_870,tumor_cells_type4_radius_840_to_870,tumor_cells_type5_dead_radius_840_to_870,average_oncoprotein_radius_840_to_870,average_oxygen_cancer_cells_radius_840_to_870,average_oxygen_all_cells_radius_840_to_870,average_glucose_cancer_cells_radius_840_to_870,average_glucose_all_cells_radius_840_to_870,average_radius_distance_living_cart_cells_radius_840_to_870,num_alive_cells_radius_870_to_900,num_dead_cells_radius_870_to_900,total_num_cells_radius_870_to_900,num_alive_tumor_cells_radius_870_to_900,total_num_tumor_cells_radius_870_to_900,num_alive_cart_cells_radius_870_to_900,num_dead_cart_cells_radius_870_to_900,tumor_cells_type1_radius_870_to_900,tumor_cells_type2_radius_870_to_900,tumor_cells_type3_radius_870_to_900,tumor_cells_type4_radius_870_to_900,tumor_cells_type5_dead_radius_870_to_900,average_oncoprotein_radius_870_to_900,average_oxygen_cancer_cells_radius_870_to_900,average_oxygen_all_cells_radius_870_to_900,average_glucose_cancer_cells_radius_870_to_900,average_glucose_all_cells_radius_870_to_900,average_radius_distance_living_cart_cells_radius_870_to_900,num_alive_cells_radius_900_to_930,num_dead_cells_radius_900_to_930,total_num_cells_radius_900_to_930,num_alive_tumor_cells_radius_900_to_930,total_num_tumor_cells_radius_900_to_930,num_alive_cart_cells_radius_900_to_930,num_dead_cart_cells_radius_900_to_930,tumor_cells_type1_radius_900_to_930,tumor_cells_type2_radius_900_to_930,tumor_cells_type3_radius_900_to_930,tumor_cells_type4_radius_900_to_930,tumor_cells_type5_dead_radius_900_to_930,average_oncoprotein_radius_900_to_930,average_oxygen_cancer_cells_radius_900_to_930,average_oxygen_all_cells_radius_900_to_930,average_glucose_cancer_cells_radius_900_to_930,average_glucose_all_cells_radius_900_to_930,average_radius_distance_living_cart_cells_radius_900_to_930,num_alive_cells_radius_930_to_960,num_dead_cells_radius_930_to_960,total_num_cells_radius_930_to_960,num_alive_tumor_cells_radius_930_to_960,total_num_tumor_cells_radius_930_to_960,num_alive_cart_cells_radius_930_to_960,num_dead_cart_cells_radius_930_to_960,tumor_cells_type1_radius_930_to_960,tumor_cells_type2_radius_930_to_960,tumor_cells_type3_radius_930_to_960,tumor_cells_type4_radius_930_to_960,tumor_cells_type5_dead_radius_930_to_960,average_oncoprotein_radius_930_to_960,average_oxygen_cancer_cells_radius_930_to_960,average_oxygen_all_cells_radius_930_to_960,average_glucose_cancer_cells_radius_930_to_960,average_glucose_all_cells_radius_930_to_960,average_radius_distance_living_cart_cells_radius_930_to_960,num_alive_cells_radius_960_to_990,num_dead_cells_radius_960_to_990,total_num_cells_radius_960_to_990,num_alive_tumor_cells_radius_960_to_990,total_num_tumor_cells_radius_960_to_990,num_alive_cart_cells_radius_960_to_990,num_dead_cart_cells_radius_960_to_990,tumor_cells_type1_radius_960_to_990,tumor_cells_type2_radius_960_to_990,tumor_cells_type3_radius_960_to_990,tumor_cells_type4_radius_960_to_990,tumor_cells_type5_dead_radius_960_to_990,average_oncoprotein_radius_960_to_990,average_oxygen_cancer_cells_radius_960_to_990,average_oxygen_all_cells_radius_960_to_990,average_glucose_cancer_cells_radius_960_to_990,average_glucose_all_cells_radius_960_to_990,average_radius_distance_living_cart_cells_radius_960_to_990,num_alive_cells_radius_990_to_1020,num_dead_cells_radius_990_to_1020,total_num_cells_radius_990_to_1020,num_alive_tumor_cells_radius_990_to_1020,total_num_tumor_cells_radius_990_to_1020,num_alive_cart_cells_radius_990_to_1020,num_dead_cart_cells_radius_990_to_1020,tumor_cells_type1_radius_990_to_1020,tumor_cells_type2_radius_990_to_1020,tumor_cells_type3_radius_990_to_1020,tumor_cells_type4_radius_990_to_1020,tumor_cells_type5_dead_radius_990_to_1020,average_oncoprotein_radius_990_to_1020,average_oxygen_cancer_cells_radius_990_to_1020,average_oxygen_all_cells_radius_990_to_1020,average_glucose_cancer_cells_radius_990_to_1020,average_glucose_all_cells_radius_990_to_1020,average_radius_distance_living_cart_cells_radius_990_to_1020,num_alive_cells_radius_1020_to_1050,num_dead_cells_radius_1020_to_1050,total_num_cells_radius_1020_to_1050,num_alive_tumor_cells_radius_1020_to_1050,total_num_tumor_cells_radius_1020_to_1050,num_alive_cart_cells_radius_1020_to_1050,num_dead_cart_cells_radius_1020_to_1050,tumor_cells_type1_radius_1020_to_1050,tumor_cells_type2_radius_1020_to_1050,tumor_cells_type3_radius_1020_to_1050,tumor_cells_type4_radius_1020_to_1050,tumor_cells_type5_dead_radius_1020_to_1050,average_oncoprotein_radius_1020_to_1050,average_oxygen_cancer_cells_radius_1020_to_1050,average_oxygen_all_cells_radius_1020_to_1050,average_glucose_cancer_cells_radius_1020_to_1050,average_glucose_all_cells_radius_1020_to_1050,average_radius_distance_living_cart_cells_radius_1020_to_1050,num_alive_cells_radius_1050_to_1080,num_dead_cells_radius_1050_to_1080,total_num_cells_radius_1050_to_1080,num_alive_tumor_cells_radius_1050_to_1080,total_num_tumor_cells_radius_1050_to_1080,num_alive_cart_cells_radius_1050_to_1080,num_dead_cart_cells_radius_1050_to_1080,tumor_cells_type1_radius_1050_to_1080,tumor_cells_type2_radius_1050_to_1080,tumor_cells_type3_radius_1050_to_1080,tumor_cells_type4_radius_1050_to_1080,tumor_cells_type5_dead_radius_1050_to_1080,average_oncoprotein_radius_1050_to_1080,average_oxygen_cancer_cells_radius_1050_to_1080,average_oxygen_all_cells_radius_1050_to_1080,average_glucose_cancer_cells_radius_1050_to_1080,average_glucose_all_cells_radius_1050_to_1080,average_radius_distance_living_cart_cells_radius_1050_to_1080,num_alive_cells_radius_1080_to_1110,num_dead_cells_radius_1080_to_1110,total_num_cells_radius_1080_to_1110,num_alive_tumor_cells_radius_1080_to_1110,total_num_tumor_cells_radius_1080_to_1110,num_alive_cart_cells_radius_1080_to_1110,num_dead_cart_cells_radius_1080_to_1110,tumor_cells_type1_radius_1080_to_1110,tumor_cells_type2_radius_1080_to_1110,tumor_cells_type3_radius_1080_to_1110,tumor_cells_type4_radius_1080_to_1110,tumor_cells_type5_dead_radius_1080_to_1110,average_oncoprotein_radius_1080_to_1110,average_oxygen_cancer_cells_radius_1080_to_1110,average_oxygen_all_cells_radius_1080_to_1110,average_glucose_cancer_cells_radius_1080_to_1110,average_glucose_all_cells_radius_1080_to_1110,average_radius_distance_living_cart_cells_radius_1080_to_1110,num_alive_cells_radius_1110_to_1140,num_dead_cells_radius_1110_to_1140,total_num_cells_radius_1110_to_1140,num_alive_tumor_cells_radius_1110_to_1140,total_num_tumor_cells_radius_1110_to_1140,num_alive_cart_cells_radius_1110_to_1140,num_dead_cart_cells_radius_1110_to_1140,tumor_cells_type1_radius_1110_to_1140,tumor_cells_type2_radius_1110_to_1140,tumor_cells_type3_radius_1110_to_1140,tumor_cells_type4_radius_1110_to_1140,tumor_cells_type5_dead_radius_1110_to_1140,average_oncoprotein_radius_1110_to_1140,average_oxygen_cancer_cells_radius_1110_to_1140,average_oxygen_all_cells_radius_1110_to_1140,average_glucose_cancer_cells_radius_1110_to_1140,average_glucose_all_cells_radius_1110_to_1140,average_radius_distance_living_cart_cells_radius_1110_to_1140,num_alive_cells_radius_1140_to_1170,num_dead_cells_radius_1140_to_1170,total_num_cells_radius_1140_to_1170,num_alive_tumor_cells_radius_1140_to_1170,total_num_tumor_cells_radius_1140_to_1170,num_alive_cart_cells_radius_1140_to_1170,num_dead_cart_cells_radius_1140_to_1170,tumor_cells_type1_radius_1140_to_1170,tumor_cells_type2_radius_1140_to_1170,tumor_cells_type3_radius_1140_to_1170,tumor_cells_type4_radius_1140_to_1170,tumor_cells_type5_dead_radius_1140_to_1170,average_oncoprotein_radius_1140_to_1170,average_oxygen_cancer_cells_radius_1140_to_1170,average_oxygen_all_cells_radius_1140_to_1170,average_glucose_cancer_cells_radius_1140_to_1170,average_glucose_all_cells_radius_1140_to_1170,average_radius_distance_living_cart_cells_radius_1140_to_1170,num_alive_cells_radius_1170_to_1200,num_dead_cells_radius_1170_to_1200,total_num_cells_radius_1170_to_1200,num_alive_tumor_cells_radius_1170_to_1200,total_num_tumor_cells_radius_1170_to_1200,num_alive_cart_cells_radius_1170_to_1200,num_dead_cart_cells_radius_1170_to_1200,tumor_cells_type1_radius_1170_to_1200,tumor_cells_type2_radius_1170_to_1200,tumor_cells_type3_radius_1170_to_1200,tumor_cells_type4_radius_1170_to_1200,tumor_cells_type5_dead_radius_1170_to_1200,average_oncoprotein_radius_1170_to_1200,average_oxygen_cancer_cells_radius_1170_to_1200,average_oxygen_all_cells_radius_1170_to_1200,average_glucose_cancer_cells_radius_1170_to_1200,average_glucose_all_cells_radius_1170_to_1200,average_radius_distance_living_cart_cells_radius_1170_to_1200,num_alive_cells_radius_1200_to_1230,num_dead_cells_radius_1200_to_1230,total_num_cells_radius_1200_to_1230,num_alive_tumor_cells_radius_1200_to_1230,total_num_tumor_cells_radius_1200_to_1230,num_alive_cart_cells_radius_1200_to_1230,num_dead_cart_cells_radius_1200_to_1230,tumor_cells_type1_radius_1200_to_1230,tumor_cells_type2_radius_1200_to_1230,tumor_cells_type3_radius_1200_to_1230,tumor_cells_type4_radius_1200_to_1230,tumor_cells_type5_dead_radius_1200_to_1230,average_oncoprotein_radius_1200_to_1230,average_oxygen_cancer_cells_radius_1200_to_1230,average_oxygen_all_cells_radius_1200_to_1230,average_glucose_cancer_cells_radius_1200_to_1230,average_glucose_all_cells_radius_1200_to_1230,average_radius_distance_living_cart_cells_radius_1200_to_1230,num_alive_cells_radius_1230_to_1260,num_dead_cells_radius_1230_to_1260,total_num_cells_radius_1230_to_1260,num_alive_tumor_cells_radius_1230_to_1260,total_num_tumor_cells_radius_1230_to_1260,num_alive_cart_cells_radius_1230_to_1260,num_dead_cart_cells_radius_1230_to_1260,tumor_cells_type1_radius_1230_to_1260,tumor_cells_type2_radius_1230_to_1260,tumor_cells_type3_radius_1230_to_1260,tumor_cells_type4_radius_1230_to_1260,tumor_cells_type5_dead_radius_1230_to_1260,average_oncoprotein_radius_1230_to_1260,average_oxygen_cancer_cells_radius_1230_to_1260,average_oxygen_all_cells_radius_1230_to_1260,average_glucose_cancer_cells_radius_1230_to_1260,average_glucose_all_cells_radius_1230_to_1260,average_radius_distance_living_cart_cells_radius_1230_to_1260,num_alive_cells_radius_1260_to_1290,num_dead_cells_radius_1260_to_1290,total_num_cells_radius_1260_to_1290,num_alive_tumor_cells_radius_1260_to_1290,total_num_tumor_cells_radius_1260_to_1290,num_alive_cart_cells_radius_1260_to_1290,num_dead_cart_cells_radius_1260_to_1290,tumor_cells_type1_radius_1260_to_1290,tumor_cells_type2_radius_1260_to_1290,tumor_cells_type3_radius_1260_to_1290,tumor_cells_type4_radius_1260_to_1290,tumor_cells_type5_dead_radius_1260_to_1290,average_oncoprotein_radius_1260_to_1290,average_oxygen_cancer_cells_radius_1260_to_1290,average_oxygen_all_cells_radius_1260_to_1290,average_glucose_cancer_cells_radius_1260_to_1290,average_glucose_all_cells_radius_1260_to_1290,average_radius_distance_living_cart_cells_radius_1260_to_1290,num_alive_cells_radius_1290_to_1320,num_dead_cells_radius_1290_to_1320,total_num_cells_radius_1290_to_1320,num_alive_tumor_cells_radius_1290_to_1320,total_num_tumor_cells_radius_1290_to_1320,num_alive_cart_cells_radius_1290_to_1320,num_dead_cart_cells_radius_1290_to_1320,tumor_cells_type1_radius_1290_to_1320,tumor_cells_type2_radius_1290_to_1320,tumor_cells_type3_radius_1290_to_1320,tumor_cells_type4_radius_1290_to_1320,tumor_cells_type5_dead_radius_1290_to_1320,average_oncoprotein_radius_1290_to_1320,average_oxygen_cancer_cells_radius_1290_to_1320,average_oxygen_all_cells_radius_1290_to_1320,average_glucose_cancer_cells_radius_1290_to_1320,average_glucose_all_cells_radius_1290_to_1320,average_radius_distance_living_cart_cells_radius_1290_to_1320,num_alive_cells_radius_1320_to_1350,num_dead_cells_radius_1320_to_1350,total_num_cells_radius_1320_to_1350,num_alive_tumor_cells_radius_1320_to_1350,total_num_tumor_cells_radius_1320_to_1350,num_alive_cart_cells_radius_1320_to_1350,num_dead_cart_cells_radius_1320_to_1350,tumor_cells_type1_radius_1320_to_1350,tumor_cells_type2_radius_1320_to_1350,tumor_cells_type3_radius_1320_to_1350,tumor_cells_type4_radius_1320_to_1350,tumor_cells_type5_dead_radius_1320_to_1350,average_oncoprotein_radius_1320_to_1350,average_oxygen_cancer_cells_radius_1320_to_1350,average_oxygen_all_cells_radius_1320_to_1350,average_glucose_cancer_cells_radius_1320_to_1350,average_glucose_all_cells_radius_1320_to_1350,average_radius_distance_living_cart_cells_radius_1320_to_1350,num_alive_cells_radius_1350_to_1380,num_dead_cells_radius_1350_to_1380,total_num_cells_radius_1350_to_1380,num_alive_tumor_cells_radius_1350_to_1380,total_num_tumor_cells_radius_1350_to_1380,num_alive_cart_cells_radius_1350_to_1380,num_dead_cart_cells_radius_1350_to_1380,tumor_cells_type1_radius_1350_to_1380,tumor_cells_type2_radius_1350_to_1380,tumor_cells_type3_radius_1350_to_1380,tumor_cells_type4_radius_1350_to_1380,tumor_cells_type5_dead_radius_1350_to_1380,average_oncoprotein_radius_1350_to_1380,average_oxygen_cancer_cells_radius_1350_to_1380,average_oxygen_all_cells_radius_1350_to_1380,average_glucose_cancer_cells_radius_1350_to_1380,average_glucose_all_cells_radius_1350_to_1380,average_radius_distance_living_cart_cells_radius_1350_to_1380,num_alive_cells_radius_1380_to_1410,num_dead_cells_radius_1380_to_1410,total_num_cells_radius_1380_to_1410,num_alive_tumor_cells_radius_1380_to_1410,total_num_tumor_cells_radius_1380_to_1410,num_alive_cart_cells_radius_1380_to_1410,num_dead_cart_cells_radius_1380_to_1410,tumor_cells_type1_radius_1380_to_1410,tumor_cells_type2_radius_1380_to_1410,tumor_cells_type3_radius_1380_to_1410,tumor_cells_type4_radius_1380_to_1410,tumor_cells_type5_dead_radius_1380_to_1410,average_oncoprotein_radius_1380_to_1410,average_oxygen_cancer_cells_radius_1380_to_1410,average_oxygen_all_cells_radius_1380_to_1410,average_glucose_cancer_cells_radius_1380_to_1410,average_glucose_all_cells_radius_1380_to_1410,average_radius_distance_living_cart_cells_radius_1380_to_1410,num_alive_cells_radius_1410_to_1440,num_dead_cells_radius_1410_to_1440,total_num_cells_radius_1410_to_1440,num_alive_tumor_cells_radius_1410_to_1440,total_num_tumor_cells_radius_1410_to_1440,num_alive_cart_cells_radius_1410_to_1440,num_dead_cart_cells_radius_1410_to_1440,tumor_cells_type1_radius_1410_to_1440,tumor_cells_type2_radius_1410_to_1440,tumor_cells_type3_radius_1410_to_1440,tumor_cells_type4_radius_1410_to_1440,tumor_cells_type5_dead_radius_1410_to_1440,average_oncoprotein_radius_1410_to_1440,average_oxygen_cancer_cells_radius_1410_to_1440,average_oxygen_all_cells_radius_1410_to_1440,average_glucose_cancer_cells_radius_1410_to_1440,average_glucose_all_cells_radius_1410_to_1440,average_radius_distance_living_cart_cells_radius_1410_to_1440,num_alive_cells_radius_1440_to_1470,num_dead_cells_radius_1440_to_1470,total_num_cells_radius_1440_to_1470,num_alive_tumor_cells_radius_1440_to_1470,total_num_tumor_cells_radius_1440_to_1470,num_alive_cart_cells_radius_1440_to_1470,num_dead_cart_cells_radius_1440_to_1470,tumor_cells_type1_radius_1440_to_1470,tumor_cells_type2_radius_1440_to_1470,tumor_cells_type3_radius_1440_to_1470,tumor_cells_type4_radius_1440_to_1470,tumor_cells_type5_dead_radius_1440_to_1470,average_oncoprotein_radius_1440_to_1470,average_oxygen_cancer_cells_radius_1440_to_1470,average_oxygen_all_cells_radius_1440_to_1470,average_glucose_cancer_cells_radius_1440_to_1470,average_glucose_all_cells_radius_1440_to_1470,average_radius_distance_living_cart_cells_radius_1440_to_1470,num_alive_cells_radius_1470_to_1500,num_dead_cells_radius_1470_to_1500,total_num_cells_radius_1470_to_1500,num_alive_tumor_cells_radius_1470_to_1500,total_num_tumor_cells_radius_1470_to_1500,num_alive_cart_cells_radius_1470_to_1500,num_dead_cart_cells_radius_1470_to_1500,tumor_cells_type1_radius_1470_to_1500,tumor_cells_type2_radius_1470_to_1500,tumor_cells_type3_radius_1470_to_1500,tumor_cells_type4_radius_1470_to_1500,tumor_cells_type5_dead_radius_1470_to_1500,average_oncoprotein_radius_1470_to_1500,average_oxygen_cancer_cells_radius_1470_to_1500,average_oxygen_all_cells_radius_1470_to_1500,average_glucose_cancer_cells_radius_1470_to_1500,average_glucose_all_cells_radius_1470_to_1500,average_radius_distance_living_cart_cells_radius_1470_to_1500,num_alive_cells_radius_1500_to_1530,num_dead_cells_radius_1500_to_1530,total_num_cells_radius_1500_to_1530,num_alive_tumor_cells_radius_1500_to_1530,total_num_tumor_cells_radius_1500_to_1530,num_alive_cart_cells_radius_1500_to_1530,num_dead_cart_cells_radius_1500_to_1530,tumor_cells_type1_radius_1500_to_1530,tumor_cells_type2_radius_1500_to_1530,tumor_cells_type3_radius_1500_to_1530,tumor_cells_type4_radius_1500_to_1530,tumor_cells_type5_dead_radius_1500_to_1530,average_oncoprotein_radius_1500_to_1530,average_oxygen_cancer_cells_radius_1500_to_1530,average_oxygen_all_cells_radius_1500_to_1530,average_glucose_cancer_cells_radius_1500_to_1530,average_glucose_all_cells_radius_1500_to_1530,average_radius_distance_living_cart_cells_radius_1500_to_1530,num_alive_cells_radius_1530_to_1560,num_dead_cells_radius_1530_to_1560,total_num_cells_radius_1530_to_1560,num_alive_tumor_cells_radius_1530_to_1560,total_num_tumor_cells_radius_1530_to_1560,num_alive_cart_cells_radius_1530_to_1560,num_dead_cart_cells_radius_1530_to_1560,tumor_cells_type1_radius_1530_to_1560,tumor_cells_type2_radius_1530_to_1560,tumor_cells_type3_radius_1530_to_1560,tumor_cells_type4_radius_1530_to_1560,tumor_cells_type5_dead_radius_1530_to_1560,average_oncoprotein_radius_1530_to_1560,average_oxygen_cancer_cells_radius_1530_to_1560,average_oxygen_all_cells_radius_1530_to_1560,average_glucose_cancer_cells_radius_1530_to_1560,average_glucose_all_cells_radius_1530_to_1560,average_radius_distance_living_cart_cells_radius_1530_to_1560,num_alive_cells_radius_1560_to_1590,num_dead_cells_radius_1560_to_1590,total_num_cells_radius_1560_to_1590,num_alive_tumor_cells_radius_1560_to_1590,total_num_tumor_cells_radius_1560_to_1590,num_alive_cart_cells_radius_1560_to_1590,num_dead_cart_cells_radius_1560_to_1590,tumor_cells_type1_radius_1560_to_1590,tumor_cells_type2_radius_1560_to_1590,tumor_cells_type3_radius_1560_to_1590,tumor_cells_type4_radius_1560_to_1590,tumor_cells_type5_dead_radius_1560_to_1590,average_oncoprotein_radius_1560_to_1590,average_oxygen_cancer_cells_radius_1560_to_1590,average_oxygen_all_cells_radius_1560_to_1590,average_glucose_cancer_cells_radius_1560_to_1590,average_glucose_all_cells_radius_1560_to_1590,average_radius_distance_living_cart_cells_radius_1560_to_1590,num_alive_cells_radius_1590_to_1620,num_dead_cells_radius_1590_to_1620,total_num_cells_radius_1590_to_1620,num_alive_tumor_cells_radius_1590_to_1620,total_num_tumor_cells_radius_1590_to_1620,num_alive_cart_cells_radius_1590_to_1620,num_dead_cart_cells_radius_1590_to_1620,tumor_cells_type1_radius_1590_to_1620,tumor_cells_type2_radius_1590_to_1620,tumor_cells_type3_radius_1590_to_1620,tumor_cells_type4_radius_1590_to_1620,tumor_cells_type5_dead_radius_1590_to_1620,average_oncoprotein_radius_1590_to_1620,average_oxygen_cancer_cells_radius_1590_to_1620,average_oxygen_all_cells_radius_1590_to_1620,average_glucose_cancer_cells_radius_1590_to_1620,average_glucose_all_cells_radius_1590_to_1620,average_radius_distance_living_cart_cells_radius_1590_to_1620,num_alive_cells_radius_1620_to_1650,num_dead_cells_radius_1620_to_1650,total_num_cells_radius_1620_to_1650,num_alive_tumor_cells_radius_1620_to_1650,total_num_tumor_cells_radius_1620_to_1650,num_alive_cart_cells_radius_1620_to_1650,num_dead_cart_cells_radius_1620_to_1650,tumor_cells_type1_radius_1620_to_1650,tumor_cells_type2_radius_1620_to_1650,tumor_cells_type3_radius_1620_to_1650,tumor_cells_type4_radius_1620_to_1650,tumor_cell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_1830_to_1860,total_num_tumor_cells_radius_1830_to_1860,num_alive_cart_cells_radius_1830_to_1860,num_dead_cart_cells_radius_1830_to_1860,tumor_cells_type1_radius_1830_to_1860,tumor_cells_type2_radius_1830_to_1860,tumor_cells_type3_radius_1830_to_1860,tumor_cells_type4_radius_1830_to_1860,tumor_cells_type5_dead_radius_1830_to_1860,average_oncoprotein_radius_1830_to_1860,average_oxygen_cancer_cells_radius_1830_to_1860,average_oxygen_all_cells_radius_1830_to_1860,average_glucose_cancer_cells_radius_1830_to_1860,average_glucose_all_cells_radius_1830_to_1860,average_radius_distance_living_cart_cells_radius_1830_to_1860,num_alive_cells_radius_1860_to_1890,num_dead_cells_radius_1860_to_1890,total_num_cells_radius_1860_to_1890,num_alive_tumor_cells_radius_1860_to_1890,total_num_tumor_cells_radius_1860_to_1890,num_alive_cart_cells_radius_1860_to_1890,num_dead_cart_cells_radius_1860_to_1890,tumor_cells_type1_radius_1860_to_1890,tumor_cells_type2_radius_1860_to_1890,tumor_cells_type3_radius_1860_to_1890,tumor_cells_type4_radius_1860_to_1890,tumor_cells_type5_dead_radius_1860_to_1890,average_oncoprotein_radius_1860_to_1890,average_oxygen_cancer_cells_radius_1860_to_1890,average_oxygen_all_cells_radius_1860_to_1890,average_glucose_cancer_cells_radius_1860_to_1890,average_glucose_all_cells_radius_1860_to_1890,average_radius_distance_living_cart_cells_radius_1860_to_1890,num_alive_cells_radius_1890_to_1920,num_dead_cells_radius_1890_to_1920,total_num_cells_radius_1890_to_1920,num_alive_tumor_cells_radius_1890_to_1920,total_num_tumor_cells_radius_1890_to_1920,num_alive_cart_cells_radius_1890_to_1920,num_dead_cart_cells_radius_1890_to_1920,tumor_cells_type1_radius_1890_to_1920,tumor_cells_type2_radius_1890_to_1920,tumor_cells_type3_radius_1890_to_1920,tumor_cells_type4_radius_1890_to_1920,tumor_cells_type5_dead_radius_1890_to_1920,average_oncoprotein_radius_1890_to_1920,average_oxygen_cancer_cells_radius_1890_to_1920,average_oxygen_all_cells_radius_1890_to_1920,average_glucose_cancer_cells_radius_1890_to_1920,average_glucose_all_cells_radius_1890_to_1920,average_radius_distance_living_cart_cells_radius_1890_to_1920,num_alive_cells_radius_1920_to_1950,num_dead_cells_radius_1920_to_1950,total_num_cells_radius_1920_to_1950,num_alive_tumor_cells_radius_1920_to_1950,total_num_tumor_cells_radius_1920_to_1950,num_alive_cart_cells_radius_1920_to_1950,num_dead_cart_cells_radius_1920_to_1950,tumor_cells_type1_radius_1920_to_1950,tumor_cells_type2_radius_1920_to_1950,tumor_cells_type3_radius_1920_to_1950,tumor_cells_type4_radius_1920_to_1950,tumor_cells_type5_dead_radius_1920_to_1950,average_oncoprotein_radius_1920_to_1950,average_oxygen_cancer_cells_radius_1920_to_1950,average_oxygen_all_cells_radius_1920_to_1950,average_glucose_cancer_cells_radius_1920_to_1950,average_glucose_all_cells_radius_1920_to_1950,average_radius_distance_living_cart_cells_radius_1920_to_1950,num_alive_cells_radius_1950_to_1980,num_dead_cells_radius_1950_to_1980,total_num_cells_radius_1950_to_1980,num_alive_tumor_cells_radius_1950_to_1980,total_num_tumor_cells_radius_1950_to_1980,num_alive_cart_cells_radius_1950_to_1980,num_dead_cart_cells_radius_1950_to_1980,tumor_cells_type1_radius_1950_to_1980,tumor_cells_type2_radius_1950_to_1980,tumor_cells_type3_radius_1950_to_1980,tumor_cells_type4_radius_1950_to_1980,tumor_cells_type5_dead_radius_1950_to_1980,average_oncoprotein_radius_1950_to_1980,average_oxygen_cancer_cells_radius_1950_to_1980,average_oxygen_all_cells_radius_1950_to_1980,average_glucose_cancer_cells_radius_1950_to_1980,average_glucose_all_cells_radius_1950_to_1980,average_radius_distance_living_cart_cells_radius_1950_to_1980,num_alive_cells_radius_1980_to_2010,num_dead_cells_radius_1980_to_2010,total_num_cells_radius_1980_to_2010,num_alive_tumor_cells_radius_1980_to_2010,total_num_tumor_cells_radius_1980_to_2010,num_alive_cart_cells_radius_1980_to_2010,num_dead_cart_cells_radius_1980_to_2010,tumor_cells_type1_radius_1980_to_2010,tumor_cells_type2_radius_1980_to_2010,tumor_cells_type3_radius_1980_to_2010,tumor_cells_type4_radius_1980_to_2010,tumor_cells_type5_dead_radius_1980_to_2010,average_oncoprotein_radius_1980_to_2010,average_oxygen_cancer_cells_radius_1980_to_2010,average_oxygen_all_cells_radius_1980_to_2010,average_glucose_cancer_cells_radius_1980_to_2010,average_glucose_all_cells_radius_1980_to_2010,average_radius_distance_living_cart_cells_radius_1980_to_2010,num_alive_cells_radius_2010_to_2040,num_dead_cells_radius_2010_to_2040,total_num_cells_radius_2010_to_2040,num_alive_tumor_cells_radius_2010_to_2040,total_num_tumor_cells_radius_2010_to_2040,num_alive_cart_cells_radius_2010_to_2040,num_dead_cart_cells_radius_2010_to_2040,tumor_cells_type1_radius_2010_to_2040,tumor_cells_type2_radius_2010_to_2040,tumor_cells_type3_radius_2010_to_2040,tumor_cells_type4_radius_2010_to_2040,tumor_cells_type5_dead_radius_2010_to_2040,average_oncoprotein_radius_2010_to_2040,average_oxygen_cancer_cells_radius_2010_to_2040,average_oxygen_all_cells_radius_2010_t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diff --git a/draft/execution_seed_0/final_data.csv b/draft/execution_seed_0/final_data.csv
new file mode 100644
index 0000000..a5cf824
--- /dev/null
+++ b/draft/execution_seed_0/final_data.csv
@@ -0,0 +1,74 @@
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+1.45833,35,2100,3001.74,588112,28112,0,27485,0,0,627,545355,14645,1,23.6361,65.9875,7.05095,7.07369,2836
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+1.54167,37,2220,2998.38,588159,28159,0,27496,0,0,663,544470,15530,1,23.7228,65.6572,6.56144,6.58332,2826.68
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+1.625,39,2340,2997.36,588239,28239,0,27536,0,0,703,543529,16471,1,23.8378,65.3547,6.10606,6.12705,2817.72
+1.66667,40,2400,2999.84,588276,28276,0,27552,0,0,724,543087,16913,1,23.8959,65.2119,5.89043,5.91094,2813.39
+1.70833,41,2460,3003.3,588336,28336,0,27593,0,0,743,542610,17390,1,23.9633,65.0739,5.68247,5.7025,2809.17
+1.75,42,2520,3004.63,588395,28395,0,27637,0,0,758,542144,17856,1,24.0347,64.9382,5.4819,5.50144,2805.05
+1.79167,43,2580,3005.4,588446,28446,0,27672,0,0,774,541678,18322,1,24.088,64.8026,5.28844,5.30749,2800.96
+1.83333,44,2640,3005.6,588509,28509,0,27717,0,0,792,541238,18762,1,24.1503,64.6813,5.10183,5.12041,2796.97
+1.875,45,2700,3008.88,588600,28600,0,27784,0,0,816,540782,19218,1,24.2222,64.5543,4.92186,4.93994,2793.07
+1.91667,46,2760,3012.65,588701,28701,0,27851,0,0,850,540294,19706,1,24.293,64.4328,4.74827,4.76584,2789.28
+1.95833,47,2820,3013.86,588807,28807,0,27920,0,0,887,539803,20197,1,24.3816,64.3171,4.58084,4.59791,2785.57
+2,48,2880,3015.75,588893,28893,0,27950,0,0,943,539347,20653,1,24.4581,64.2086,4.41935,4.43592,2781.93
+2.04167,49,2940,3020.34,589016,29016,0,28012,0,0,1004,538894,21106,1,24.5482,64.1005,4.26357,4.27966,2778.39
+2.08333,50,3000,3022.28,589164,29164,0,28079,0,0,1085,538421,21579,1,24.6703,64.0059,4.11333,4.12894,2774.95
+2.125,51,3060,3016.68,589326,29326,0,28187,0,0,1139,537928,22072,1,24.7949,63.9116,3.9684,3.98353,2771.56
+2.16667,52,3120,3013.94,589514,29514,0,28285,0,0,1229,537432,22568,1,24.9257,63.8311,3.8286,3.84324,2768.24
+2.20833,53,3180,3020.88,589717,29717,0,28392,0,0,1325,536900,23100,1,25.0526,63.7475,3.69373,3.70791,2765.03
+2.25,54,3240,3020.04,589911,29911,0,28477,0,0,1434,536438,23562,1,25.1852,63.6753,3.56364,3.57736,2761.85
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+2.45833,59,3540,3016.19,591191,31191,0,29108,0,0,2083,534032,25968,1,25.9755,63.3637,2.97888,2.99045,2747.01
+2.5,60,3600,3020.03,591520,31520,0,29298,0,0,2222,533524,26476,1,26.1489,63.2945,2.87401,2.88518,2744.22
+2.54167,61,3660,3021.1,591836,31836,0,29482,0,0,2354,533050,26950,1,26.3358,63.2324,2.77284,2.78361,2741.54
+2.58333,62,3720,3017.06,592172,32172,0,29662,0,0,2510,532548,27452,1,26.5235,63.1827,2.67521,2.68562,2738.89
+2.625,63,3780,3020.15,592526,32526,0,29857,0,0,2669,532050,27950,1,26.7236,63.1293,2.58102,2.59106,2736.3
+2.66667,64,3840,3021.86,592895,32895,0,30038,0,0,2857,531515,28485,1,26.9218,63.0803,2.49015,2.49982,2733.76
+2.70833,65,3900,3025.03,593247,33247,0,30208,0,0,3039,531010,28990,1,27.1139,63.0409,2.40248,2.4118,2731.34
+2.75,66,3960,3022.96,593650,33650,0,30415,0,0,3235,530531,29469,1,27.2916,62.9996,2.31789,2.32687,2728.99
+2.79167,67,4020,3022.77,594031,34031,0,30599,0,0,3432,530027,29973,1,27.4807,62.9642,2.23628,2.24492,2726.63
+2.83333,68,4080,3031.45,594442,34442,0,30806,0,0,3636,529504,30496,1,27.6694,62.932,2.15754,2.16586,2724.34
+2.875,69,4140,3037.25,594829,34829,0,30980,0,0,3849,528978,31022,1,27.8496,62.8997,2.08157,2.08957,2722.12
+2.91667,70,4200,3038.79,595264,35264,0,31218,0,0,4046,528479,31521,1,28.0341,62.8685,2.00826,2.01596,2719.91
+2.95833,71,4260,3039.13,595676,35676,0,31427,0,0,4249,527940,32060,1,28.2185,62.8429,1.93753,1.94494,2717.77
+3,72,4320,3038.78,596083,36083,0,31607,0,0,4476,527446,32554,1,28.4065,62.8232,1.86928,1.87642,2715.68
diff --git a/params.json b/params.json
index 122c0de..eb4d56f 100644
--- a/params.json
+++ b/params.json
@@ -1,7 +1,7 @@
 {
-  "seed": 100,
+  "seed": 1,
   "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
+  "num_radius_intervals": 100,
   "lateral_oxygen_production_min_z": -300.0,
   "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
@@ -9,7 +9,7 @@
   "diffuse_oxygen_on_z_axis": false,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
-  "total_minutes_to_simulate": 60,
+  "total_minutes_to_simulate": 4320,
   "output_csv_interval": 600,
   "bounded_space_length": 6500.0,
   "tumor_shape": "cylinder",
@@ -42,8 +42,8 @@
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 13.6515,
-  "maximum_necrosis_lack_of_oxygen_rate": 3.0926e-05,
+  "oxygen_limit_for_necrosis": 7.1,
+  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
@@ -56,11 +56,11 @@
   "initial_glucose_level": 24.98,
   "max_radius_glucose_initialization": 3100.0,
   "treatment": {
-    "0": 0
+    "0": 560000
   },
-  "default_oxygen_consumption_cart": 5000,
-  "default_glucose_consumption_cart": 1.4,
-  "adhesion_rate_cart": 0.0017,
+  "default_oxygen_consumption_cart": 16,
+  "default_glucose_consumption_cart": 0.007,
+  "adhesion_rate_cart": 8.5e-06,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
   "glucose_limit_for_tumor_cell_growth": 0,
   "glucose_limit_for_death": 5,

From 325e1f67e6549b8983824728714e9eeda999cfa0 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 30 Sep 2026 11:49:19 +0200
Subject: [PATCH 43/54] cleaning the code and deleting draft files

---
 .../experiment_101/optuna_results.csv         |  24 --
 .../experiment_111/optuna_results.csv         |   4 -
 .../experiment_120/optuna_results.csv         |   2 -
 .../experiment_200/optuna_results.csv         |   9 -
 .../experiment_70/optuna_results.csv          |  23 --
 .../experiment_80/optuna_results.csv          |  10 -
 .../experiment_90/optuna_results.csv          |  15 -
 abm_calibration/optimize.py                   | 354 +++---------------
 bdm.toml                                      |   2 +-
 draft/19_08_26_configuration.json             |  76 ----
 draft/analysis_radius_atribute.py             |  98 -----
 ...age_glucose_all_cells_radius_vs_radius.png | Bin 36950 -> 0 bytes
 ...rage_oxygen_all_cells_radius_vs_radius.png | Bin 56299 -> 0 bytes
 ...e_oxygen_cancer_cells_radius_vs_radius.png | Bin 51577 -> 0 bytes
 ...condig_saturday_consumption_cart15_08.json |  73 ----
 draft/config2_noDecay.json                    |  36 --
 draft/config_13_08_cart_migrattion.json       |  72 ----
 draft/config_after_midterm.json               |  47 ---
 draft/config_friday_14_08.json                |  73 ----
 ...nfig_glucose_not_affect_proliferation.json |  58 ---
 draft/config_very_variable_outcomes.json      |  58 ---
 draft/config_with_aging_factor.json           |  38 --
 draft/config_without_aging_factor.json        |  38 --
 ...onfiguration_model_no_treatment_21_08.json |  76 ----
 draft/cylinder_configDecay0_1.json            |  36 --
 draft/deacay0_01.json                         |  36 --
 .../data_dependent_on_radius_tumor.csv        |  74 ----
 draft/execution_seed_0/final_data.csv         |  74 ----
 draft/experimentation.py                      | 183 ---------
 draft/generatecsv.py                          |  47 ---
 ...umor_cells_type5_dead_radius_vs_radius.png | Bin 60888 -> 0 bytes
 params.json                                   |  83 +---
 ...edges.json => params4CylindricalModel.json |  14 +-
 probability_necrosis_debug.csv                |  63 ----
 src/agents/tumor_cell.cc                      |  26 --
 35 files changed, 68 insertions(+), 1754 deletions(-)
 delete mode 100644 abm_calibration/experiment_101/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_111/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_120/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_200/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_70/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_80/optuna_results.csv
 delete mode 100644 abm_calibration/experiment_90/optuna_results.csv
 delete mode 100644 draft/19_08_26_configuration.json
 delete mode 100644 draft/analysis_radius_atribute.py
 delete mode 100644 draft/average_glucose_all_cells_radius_vs_radius.png
 delete mode 100644 draft/average_oxygen_all_cells_radius_vs_radius.png
 delete mode 100644 draft/average_oxygen_cancer_cells_radius_vs_radius.png
 delete mode 100644 draft/condig_saturday_consumption_cart15_08.json
 delete mode 100644 draft/config2_noDecay.json
 delete mode 100644 draft/config_13_08_cart_migrattion.json
 delete mode 100644 draft/config_after_midterm.json
 delete mode 100644 draft/config_friday_14_08.json
 delete mode 100644 draft/config_glucose_not_affect_proliferation.json
 delete mode 100644 draft/config_very_variable_outcomes.json
 delete mode 100644 draft/config_with_aging_factor.json
 delete mode 100644 draft/config_without_aging_factor.json
 delete mode 100644 draft/configuration_model_no_treatment_21_08.json
 delete mode 100644 draft/cylinder_configDecay0_1.json
 delete mode 100644 draft/deacay0_01.json
 delete mode 100644 draft/execution_seed_0/data_dependent_on_radius_tumor.csv
 delete mode 100644 draft/execution_seed_0/final_data.csv
 delete mode 100644 draft/experimentation.py
 delete mode 100644 draft/generatecsv.py
 delete mode 100644 draft/tumor_cells_type5_dead_radius_vs_radius.png
 rename draft/09_09_2026_config_cart_pushes_from_edges.json => params4CylindricalModel.json (90%)
 delete mode 100644 probability_necrosis_debug.csv

diff --git a/abm_calibration/experiment_101/optuna_results.csv b/abm_calibration/experiment_101/optuna_results.csv
deleted file mode 100644
index b350ecc..0000000
--- a/abm_calibration/experiment_101/optuna_results.csv
+++ /dev/null
@@ -1,24 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_kill_rate_cart,state
-0,10.0,2026-08-13 23:43:36.779075,2026-08-14 00:11:53.440382,0 days 00:28:16.661307,0.375,COMPLETE
-1,27.0,2026-08-14 00:11:53.469853,2026-08-14 00:40:09.372921,0 days 00:28:15.903068,0.9500000000000001,COMPLETE
-2,7.0,2026-08-14 00:40:09.397456,2026-08-14 01:08:26.212224,0 days 00:28:16.814768,0.732,COMPLETE
-3,11.0,2026-08-14 01:08:26.238753,2026-08-14 01:36:43.388636,0 days 00:28:17.149883,0.599,COMPLETE
-4,19.0,2026-08-14 01:36:43.413839,2026-08-14 02:05:00.836644,0 days 00:28:17.422805,0.156,COMPLETE
-5,19.0,2026-08-14 02:05:00.866483,2026-08-14 02:33:22.392259,0 days 00:28:21.525776,0.156,COMPLETE
-6,36.0,2026-08-14 02:33:22.420882,2026-08-14 03:01:44.440903,0 days 00:28:22.020021,0.059000000000000004,COMPLETE
-7,19.0,2026-08-14 03:01:44.465930,2026-08-14 03:30:06.788806,0 days 00:28:22.322876,0.866,COMPLETE
-8,19.0,2026-08-14 03:30:06.813358,2026-08-14 03:58:22.239418,0 days 00:28:15.426060,0.601,COMPLETE
-9,12.0,2026-08-14 03:58:22.264374,2026-08-14 04:26:40.913567,0 days 00:28:18.649193,0.708,COMPLETE
-10,70.0,2026-08-14 04:26:40.944723,2026-08-14 04:54:59.822119,0 days 00:28:18.877396,0.368,COMPLETE
-11,30.0,2026-08-14 04:54:59.845706,2026-08-14 05:23:16.286250,0 days 00:28:16.440544,0.418,COMPLETE
-12,9.0,2026-08-14 05:23:16.316833,2026-08-14 05:51:32.714742,0 days 00:28:16.397909,0.431,COMPLETE
-13,19.0,2026-08-14 05:51:32.739475,2026-08-14 06:19:49.303836,0 days 00:28:16.564361,0.781,COMPLETE
-14,3.0,2026-08-14 06:19:49.327417,2026-08-14 06:48:18.065691,0 days 00:28:28.738274,0.553,COMPLETE
-15,11.0,2026-08-14 06:48:18.090752,2026-08-14 07:16:31.391395,0 days 00:28:13.300643,0.592,COMPLETE
-16,57.0,2026-08-14 07:16:31.415656,2026-08-14 07:44:45.677288,0 days 00:28:14.261632,0.6940000000000001,COMPLETE
-17,0.0,2026-08-14 07:44:45.701329,2026-08-14 08:13:55.207873,0 days 00:29:09.506544,0.521,COMPLETE
-18,5.0,2026-08-14 08:13:55.388339,2026-08-14 08:42:58.967430,0 days 00:29:03.579091,0.495,COMPLETE
-19,19.0,2026-08-14 08:42:59.242842,2026-08-14 09:11:14.317925,0 days 00:28:15.075083,0.266,COMPLETE
-20,43.0,2026-08-14 09:11:14.384199,2026-08-14 09:39:22.436044,0 days 00:28:08.051845,0.499,COMPLETE
-21,31.0,2026-08-14 09:39:22.461352,2026-08-14 10:09:13.807648,0 days 00:29:51.346296,0.497,COMPLETE
-22,,2026-08-14 10:09:13.832664,,,0.28600000000000003,RUNNING
diff --git a/abm_calibration/experiment_111/optuna_results.csv b/abm_calibration/experiment_111/optuna_results.csv
deleted file mode 100644
index bb56d10..0000000
--- a/abm_calibration/experiment_111/optuna_results.csv
+++ /dev/null
@@ -1,4 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_oxygen_rate,state
-0,1.92,2026-08-19 23:50:44.989873,2026-08-20 08:12:39.174484,0 days 08:21:54.184611,1.92e-05,COMPLETE
-1,1.8800000000000001,2026-08-20 08:12:39.202473,2026-08-20 16:33:14.284583,0 days 08:20:35.082110,2.16e-05,COMPLETE
-2,,2026-08-20 16:33:14.309576,,,2.0700000000000002e-05,RUNNING
diff --git a/abm_calibration/experiment_120/optuna_results.csv b/abm_calibration/experiment_120/optuna_results.csv
deleted file mode 100644
index 79d18fc..0000000
--- a/abm_calibration/experiment_120/optuna_results.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_adhesion_rate_cart,state
-0,,2026-08-22 16:37:39.176557,2026-08-22 20:53:35.669423,0 days 04:15:56.492866,0.00022,FAIL
diff --git a/abm_calibration/experiment_200/optuna_results.csv b/abm_calibration/experiment_200/optuna_results.csv
deleted file mode 100644
index 19d42f0..0000000
--- a/abm_calibration/experiment_200/optuna_results.csv
+++ /dev/null
@@ -1,9 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_default_oxygen_consumption_cart,state
-0,6.0,2026-09-13 19:48:57.681920,2026-09-14 01:15:56.741757,0 days 05:26:59.059837,288.40000000000003,COMPLETE
-1,8.333333333333334,2026-09-14 01:15:56.769751,2026-09-14 06:42:07.398738,0 days 05:26:10.628987,732.1,COMPLETE
-2,6.333333333333333,2026-09-14 06:42:07.422410,2026-09-14 12:07:10.778289,0 days 05:25:03.355879,563.7,COMPLETE
-3,5.0,2026-09-14 12:07:10.803314,2026-09-14 17:35:58.696305,0 days 05:28:47.892991,461.00000000000006,COMPLETE
-4,6.666666666666667,2026-09-14 17:35:58.727606,2026-09-14 23:01:35.747612,0 days 05:25:37.020006,120.2,COMPLETE
-5,8.0,2026-09-14 23:01:35.771568,2026-09-15 04:27:09.837550,0 days 05:25:34.065982,120.2,COMPLETE
-6,8.0,2026-09-15 04:27:09.862430,2026-09-15 09:56:04.868793,0 days 05:28:55.006363,44.800000000000004,COMPLETE
-7,,2026-09-15 09:56:04.893594,,,667.0000000000001,RUNNING
diff --git a/abm_calibration/experiment_70/optuna_results.csv b/abm_calibration/experiment_70/optuna_results.csv
deleted file mode 100644
index 51d77df..0000000
--- a/abm_calibration/experiment_70/optuna_results.csv
+++ /dev/null
@@ -1,23 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_death_lack_of_glucose_rate,state
-0,20.0,2026-08-09 00:32:23.588370,2026-08-09 01:39:28.666546,0 days 01:07:05.078176,0.00016399999999999997,COMPLETE
-1,375.0,2026-08-09 01:39:28.694855,2026-08-09 02:46:32.136531,0 days 01:07:03.441676,0.000186,COMPLETE
-2,188.0,2026-08-09 02:46:32.161256,2026-08-09 03:53:39.132009,0 days 01:07:06.970753,0.000176,COMPLETE
-3,95.0,2026-08-09 03:53:39.156614,2026-08-09 05:01:03.209146,0 days 01:07:24.052532,0.00017199999999999998,COMPLETE
-4,2.0,2026-08-09 05:01:03.232743,2026-08-09 06:08:04.153246,0 days 01:07:00.920503,0.00015399999999999998,COMPLETE
-5,113.0,2026-08-09 06:08:04.178027,2026-08-09 07:15:42.029151,0 days 01:07:37.851124,0.00015399999999999998,COMPLETE
-6,84.0,2026-08-09 07:15:42.058507,2026-08-09 08:22:18.843449,0 days 01:06:36.784942,0.00015199999999999998,COMPLETE
-7,220.0,2026-08-09 08:22:18.867121,2026-08-09 09:28:50.236617,0 days 01:06:31.369496,0.00018199999999999998,COMPLETE
-8,163.0,2026-08-09 09:28:50.259988,2026-08-09 10:35:31.473444,0 days 01:06:41.213456,0.00017199999999999998,COMPLETE
-9,139.0,2026-08-09 10:35:31.503857,2026-08-09 11:41:52.820550,0 days 01:06:21.316693,0.000176,COMPLETE
-10,48.0,2026-08-09 11:41:52.845385,2026-08-09 12:48:50.231214,0 days 01:06:57.385829,0.00015999999999999999,COMPLETE
-11,22.0,2026-08-09 12:48:50.270390,2026-08-09 13:55:49.598254,0 days 01:06:59.327864,0.00015999999999999999,COMPLETE
-12,122.0,2026-08-09 13:55:49.622005,2026-08-09 15:03:09.791134,0 days 01:07:20.169129,0.00016399999999999997,COMPLETE
-13,53.0,2026-08-09 15:03:09.815276,2026-08-09 16:09:51.889204,0 days 01:06:42.073928,0.00016399999999999997,COMPLETE
-14,35.0,2026-08-09 16:09:51.919202,2026-08-09 17:17:11.223960,0 days 01:07:19.304758,0.00015,COMPLETE
-15,32.0,2026-08-09 17:17:11.248584,2026-08-09 18:24:26.142099,0 days 01:07:14.893515,0.000158,COMPLETE
-16,135.0,2026-08-09 18:24:26.166128,2026-08-09 19:31:15.890872,0 days 01:06:49.724744,0.000166,COMPLETE
-17,17.0,2026-08-09 19:31:15.921486,2026-08-09 20:37:48.446068,0 days 01:06:32.524582,0.000156,COMPLETE
-18,35.0,2026-08-09 20:37:48.475670,2026-08-09 21:44:46.376891,0 days 01:06:57.901221,0.000156,COMPLETE
-19,66.0,2026-08-09 21:44:46.401695,2026-08-09 22:51:47.559424,0 days 01:07:01.157729,0.00015,COMPLETE
-20,9.0,2026-08-09 22:51:47.583070,2026-08-09 23:59:00.216676,0 days 01:07:12.633606,0.000156,COMPLETE
-21,,2026-08-09 23:59:00.246384,,,0.000156,RUNNING
diff --git a/abm_calibration/experiment_80/optuna_results.csv b/abm_calibration/experiment_80/optuna_results.csv
deleted file mode 100644
index 1f6fb13..0000000
--- a/abm_calibration/experiment_80/optuna_results.csv
+++ /dev/null
@@ -1,10 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_maximum_necrosis_lack_of_oxygen_rate,state
-0,107.0,2026-08-11 00:37:44.877595,2026-08-11 01:43:27.718415,0 days 01:05:42.840820,1.58e-05,COMPLETE
-1,483.0,2026-08-11 01:43:27.746468,2026-08-11 02:49:01.174641,0 days 01:05:33.428173,2.74e-05,COMPLETE
-2,444.0,2026-08-11 02:49:01.198159,2026-08-11 03:54:21.451553,0 days 01:05:20.253394,2.45e-05,COMPLETE
-3,250.0,2026-08-11 03:54:21.475363,2026-08-11 04:59:14.351466,0 days 01:04:52.876103,2.1600000000000003e-05,COMPLETE
-4,32.0,2026-08-11 04:59:14.376309,2026-08-11 06:05:06.206943,0 days 01:05:51.830634,1.2900000000000002e-05,COMPLETE
-5,102.0,2026-08-11 06:05:06.232586,2026-08-11 07:12:33.858321,0 days 01:07:27.625735,1.2900000000000002e-05,COMPLETE
-6,226.0,2026-08-11 07:12:33.944906,2026-08-11 08:18:45.206508,0 days 01:06:11.261602,1e-05,COMPLETE
-7,592.0,2026-08-11 08:18:45.231609,2026-08-11 09:23:52.867017,0 days 01:05:07.635408,2.74e-05,COMPLETE
-8,,2026-08-11 09:23:52.890639,,,2.1600000000000003e-05,RUNNING
diff --git a/abm_calibration/experiment_90/optuna_results.csv b/abm_calibration/experiment_90/optuna_results.csv
deleted file mode 100644
index b27b7da..0000000
--- a/abm_calibration/experiment_90/optuna_results.csv
+++ /dev/null
@@ -1,15 +0,0 @@
-number,value,datetime_start,datetime_complete,duration,params_migration_bias_cart,state
-0,119.6400000000001,2026-08-12 18:21:48.246840,2026-08-12 19:46:30.420659,0 days 01:24:42.173819,0.04,COMPLETE
-1,203.67499999999995,2026-08-12 19:46:30.447688,2026-08-12 21:13:31.806182,0 days 01:27:01.358494,0.09,COMPLETE
-2,182.68000000000006,2026-08-12 21:13:31.842396,2026-08-12 22:40:06.143404,0 days 01:26:34.301008,0.06999999999999999,COMPLETE
-3,170.68499999999995,2026-08-12 22:40:06.166898,2026-08-13 00:05:36.840762,0 days 01:25:30.673864,0.060000000000000005,COMPLETE
-4,8.459999999999809,2026-08-13 00:05:36.865503,2026-08-13 01:29:31.432409,0 days 01:23:54.566906,0.02,COMPLETE
-5,8.75500000000011,2026-08-13 01:29:31.457844,2026-08-13 02:53:28.710548,0 days 01:23:57.252704,0.02,COMPLETE
-6,125.56500000000005,2026-08-13 02:53:28.734091,2026-08-13 04:17:46.367174,0 days 01:24:17.633083,0.01,COMPLETE
-7,197.44500000000016,2026-08-13 04:17:46.391770,2026-08-13 05:45:34.931054,0 days 01:27:48.539284,0.08,COMPLETE
-8,168.45499999999993,2026-08-13 05:45:34.955426,2026-08-13 07:11:50.632652,0 days 01:26:15.677226,0.060000000000000005,COMPLETE
-9,183.99500000000012,2026-08-13 07:11:50.656084,2026-08-13 08:37:38.927545,0 days 01:25:48.271461,0.06999999999999999,COMPLETE
-10,,2026-08-13 08:37:38.951837,2026-08-13 09:35:49.111443,0 days 00:58:10.159606,0.03,FAIL
-11,272.4100000000001,2026-08-13 12:45:13.327651,2026-08-13 14:07:47.444693,0 days 01:22:34.117042,0.0,COMPLETE
-12,77.47999999999979,2026-08-13 14:07:47.470728,2026-08-13 15:31:08.917609,0 days 01:23:21.446881,0.014,COMPLETE
-13,,2026-08-13 15:31:08.942820,,,0.015,RUNNING
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 9fcf11d..71daa8e 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,12 +29,12 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 200
+EXPERIMENT_ID = 1
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
-NUMBER_OF_TRIALS = 10000
+NUMBER_OF_TRIALS = 8
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 3
+NUMBER_MONTE_CARLO = 1
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
 BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
@@ -55,96 +55,22 @@
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
-    # basal_death_probability_cancer_cells = params[
-    #     "basal_death_probability_cancer_cells"
-    # ]
-
-    default_oxygen_consumption_cart = params[
-        "default_oxygen_consumption_cart"
+    initial_oxygen_level = params["initial_oxygen_level"]
+    default_oxygen_consumption_tumor_cell = params[
+        "default_oxygen_consumption_tumor_cell"
     ]
-    # default_glucose_consumption_tumor_cell = params[
-    #     "default_glucose_consumption_tumor_cell"
-    # ]
-    # maximum_death_lack_of_glucose_rate = params[
-    #     "maximum_death_lack_of_glucose_rate"
-    # ]
 
     # Change this configuration for the ABM run
     config = {
-  "seed": seed,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": False,
-  "diffuse_glucose_on_z_axis": False,
-  "output_performance_statistics": False,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": True,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 5e-06,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": True,
-  "add_glucose": True,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "treatment": {
-    "0": 2800 #560000 changed
-  },
-  "default_oxygen_consumption_cart": default_oxygen_consumption_cart,
-  "default_glucose_consumption_cart": 1.4,#0.007 changed
-  "adhesion_rate_cart": 0.0017,#8.5e-06 changed
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": 0,
-  "std_migration_bias_cart": 0.135,
-  "persistence_time_cart": 0,
-  "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 1e-05
-}
+        "seed": seed,
+        "output_performance_statistics": False,
+        "total_minutes_to_simulate": 1440,
+        "initial_tumor_radius": 40.0,
+        "treatment": {"0": 50},
+        "initial_oxygen_level": initial_oxygen_level,
+        "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
+    }
+
     # Save the config parameters for the run to the params.json file
     with open(PARAMS_PATH, "w") as f:
         json.dump(config, f, indent=2)
@@ -155,210 +81,50 @@ def run_ABM(params, seed):
 
 # Change This: Function to compute the error between the ABM simulation results and the experimental data
 def compute_error():
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
+    target = Path(__file__).resolve().parent / "target_data" / "final_data.csv"
+    sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
 
-#     if not sim_dir.exists():
-#         logging.error("Missing simulation CSV: %s", sim_dir)
-#         return float("inf")
+    if not target.exists():
+        logging.error("Missing target CSV: %s", target)
+        return float("inf")
 
+    if not sim_dir.exists():
+        logging.error("Missing simulation CSV: %s", sim_dir)
+        return float("inf")
+
+    df_t = pd.read_csv(target, usecols=["total_minutes", "average_oxygen_cancer_cells"])
     df_s = pd.read_csv(
-        sim_dir,
-        usecols=[
-            "total_minutes",
-            "tumor_cells_type5_dead_radius_0_to_150",
-            "tumor_cells_type5_dead_radius_2850_to_3000"
-        ],
+        sim_dir, usecols=["total_minutes", "average_oxygen_cancer_cells"]
     )
 
-#     # See the value at the minute 30 for the average oxygen level in the simulation data
-    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    # value_border = row["tumor_cells_type5_dead_radius_2850_to_3000"]
-#     value_border_in_mol_m3 = value_border / 585  # Convert from mmHg to mol/m3
-    # target_value_border = 780
-    value_center = row["tumor_cells_type5_dead_radius_0_to_150"]
-    # value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-    target_value_center = 21
-
-    error_total_tumor_cells = abs(value_center - target_value_center)
-
-    return float(error_total_tumor_cells)
-
-#    # Debug print de los 4 valores 
-#     print(f"Value border: {value_border_in_mol_m3}")
-#     print(f"Target value border: {target_value_border}")
-#     print(f"Value center: {value_center_in_mol_m3}")
-#     print(f"Target value center: {target_value_center}")
-
-#    # MSE
-#     mse = ((value_border_in_mol_m3 - target_value_border) ** 2 + (value_center_in_mol_m3 - target_value_center) ** 2) / 2 
-    
-#     return float(mse)
-    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
-    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
-
-
-    # if not sim_dir.exists():
-    #     logging.error("Missing simulation CSV: %s", sim_dir)
-    #     return float("inf")
-
-    # df_s = pd.read_csv(
-    #     sim_dir, usecols=["total_minutes", "num_tumor_cells", "tumor_cells_type5_dead","average_glucose_all_cells","average_radius_distance_living_cart_cells"]
-    # )
-   #take at the minute 1440 
-    # row = df_s[df_s["total_minutes"] == 1440].iloc[0]
-    # tumor_cells_type5_dead_1440 = row["tumor_cells_type5_dead"]
-    # target_tumor_cells_type5_dead_1440 = 200
-
-   # take at the minute 2880
-    # row = df_s[df_s["total_minutes"] == 2880].iloc[0]
-    # tumor_cells_type5_dead_2880 = row["tumor_cells_type5_dead"]
-    # target_tumor_cells_type5_dead_2880 = 350
-
-   # take the value at the minute 4320 for the number of dead tumor cells in the simulation data
-    # row = df_s[df_s["total_minutes"] == 4320].iloc[0]
-    # dead_cells_4320 = row["tumor_cells_type5_dead"]
-    # dead_cells_4320_target = 680
-    # total_tumor_cells_4320 = row["num_tumor_cells"]
-    # target_total_tumor_cells_4320 = 4143.0
-
-    # # read value at minute 2880
-    # row = df_s[df_s["total_minutes"] == 2880].iloc[0]
-    # average_glucose_2880 = row["average_glucose_all_cells"]
-    # target_average_glucose_2880 = 5.5
-    
-
-    # Compute absolute errors
-    # error_total_tumor_cells = abs(dead_cells_4320 - dead_cells_4320_target)
-
-    # return float(error_total_tumor_cells)
-
-
-    # dafault 
-    # target = Path(__file__).resolve().parent / "target_data" / "final_data.csv"
-    # sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
-
-    # if not target.exists():
-    #     logging.error("Missing target CSV: %s", target)
-    #     return float("inf")
-
-    # if not sim_dir.exists():
-    #     logging.error("Missing simulation CSV: %s", sim_dir)
-    #     return float("inf")
-
-    # df_t = pd.read_csv(target, usecols=["total_minutes", "average_oxygen_cancer_cells"])
-    # df_s = pd.read_csv(
-    #     sim_dir, usecols=["total_minutes", "average_oxygen_cancer_cells"]
-    # )
-
-    # # Merge the target and simulation dataframes on the "total_minutes" column to align the data for error computation
-    # merged = pd.merge(
-    #     df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
-    # )
-
-    # if merged.empty:
-    #     logging.error("No common minutes between target and simulation")
-    #     return float("inf")
-
-    # # Compute the mean squared error (MSE) between the average oxygen levels in the target and simulation data
-    # mse = (
-    #     (
-    #         merged["average_oxygen_cancer_cells_s"]
-    #         - merged["average_oxygen_cancer_cells_t"]
-    #     )
-    #     ** 2
-    # ).mean()
-    # return float(mse)
-
-# # Function to run the ABM with the given parameters
-# def run_ABM2(params, seed, num_cells):
-#     # Change this: parameter to be optimized in the ABM simulation
-#     oxygen_reference_level = params[
-#         "oxygen_reference_level"
-#     ]
-#     default_oxygen_consumption_tumor_cell = params[
-#         "default_oxygen_consumption_tumor_cell"
-#     ]
-
-#     # Change this configuration for the ABM run
-#     config = {
-#         "seed": seed,
-#         "output_performance_statistics": False,
-#         "total_minutes_to_simulate": 4320,
-#         "output_csv_interval": 600,
-#         "bounded_space_length": 6500.0,
-#         "tumor_shape": "cylinder",
-#         "output_information_dependent_on_radius": True,
-#         "cylindrical_tumor_radius": 3000.0,
-#         "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-#         "num_radius_intervals": 20,
-#         "cylindrical_tumor_height": 100.0,
-#         "initial_number_of_cylindrical_tumor_cells": num_cells,
-#         "oncoprotein_standard_deviation": 0.0,
-#         "lateral_oxygen_production_min_z": -6600.0,
-#         "lateral_oxygen_production_max_z": 6600.0,
-#         "diffuse_on_z_axis": True,
-#         "initial_oxygen_level": 0.0,
-#         "oxygen_reference_level": oxygen_reference_level,
-#         "diffusion_coefficient_oxygen": 180000.0,
-#         "decay_constant_oxygen": 0.01,
-#         "treatment": {
-#             "0": 0
-#         },
-#         "default_oxygen_consumption_tumor_cell": default_oxygen_consumption_tumor_cell,
-#         "oxygen_limit_for_necrosis_maximum": 0.0,
-#         "oxygen_limit_for_necrosis": 0.0
-#         }
-
-#     # Save the config parameters for the run to the params.json file
-#     with open(PARAMS_PATH, "w") as f:
-#         json.dump(config, f, indent=2)
-
-#     # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
-#     subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
-
-# def compute_error2(target_inner):
-#     sim_dir = Path(__file__).resolve().parent.parent / "output" / "data_dependent_on_radius_tumor.csv"
-
-#     if not sim_dir.exists():
-#         logging.error("Missing simulation CSV: %s", sim_dir)
-#         return float("inf")
-
-#     df_s = pd.read_csv(
-#         sim_dir,
-#         usecols=[
-#             "total_minutes",
-#             "average_oxygen_all_cells_radius_2850_to_3000",
-#             "average_oxygen_all_cells_radius_0_to_150",
-#         ],
-#     )
-
-#     # See the value at the minute 30 for the average oxygen level in the simulation data
-#     row = df_s[df_s["total_minutes"] == 30].iloc[0]
-#     value_center = row["average_oxygen_all_cells_radius_0_to_150"]
-#     value_center_in_mol_m3 = value_center / 585  # Convert from mmHg to mol/m3
-#     target_value_center = target_inner
-
-#    # Debug print de los 4 valores 
-#     print(f"Value center: {value_center_in_mol_m3}")
-#     print(f"Target value center: {target_value_center}")
-
-#     mse=0.
-#    # MSE
-#     if value_center_in_mol_m3 < target_value_center:
-#         mse = (value_center_in_mol_m3 - target_value_center) ** 2
-    
-    
-#     return float(mse)
+    # Merge the target and simulation dataframes on the "total_minutes" column to align the data for error computation
+    merged = pd.merge(
+        df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
+    )
+
+    if merged.empty:
+        logging.error("No common minutes between target and simulation")
+        return float("inf")
+
+    # Compute the mean squared error (MSE) between the average oxygen levels in the target and simulation data
+    mse = (
+        (
+            merged["average_oxygen_cancer_cells_s"]
+            - merged["average_oxygen_cancer_cells_t"]
+        )
+        ** 2
+    ).mean()
+    return float(mse)
+
 
 # Objective function for the Optuna optimization process
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
-        "default_oxygen_consumption_cart": trial.suggest_float("default_oxygen_consumption_cart", 0.1,  770, step=0.1),
-        # "std_migration_bias_cart": trial.suggest_float("std_migration_bias_cart", 1, 50, step=1),
-        # "maximum_necrosis_lack_of_oxygen_rate": trial.suggest_float("maximum_necrosis_lack_of_oxygen_rate", 0.00002, 0.000022, step=0.0000004),
-        # "kill_rate_cart": trial.suggest_float("kill_rate_cart", 0.001, 0.999, step=0.001),
-        # "maximum_death_lack_of_glucose_rate": trial.suggest_float("maximum_death_lack_of_glucose_rate", 0.000085, 0.000106, step=0.000001)
+        "initial_oxygen_level": trial.suggest_float("initial_oxygen_level", 30, 40),
+        "default_oxygen_consumption_tumor_cell": trial.suggest_float(
+            "default_oxygen_consumption_tumor_cell", 7, 14
+        ),
     }
 
     logging.info(f"Trial {trial.number} | params={params}")
@@ -366,21 +132,10 @@ def objective(trial):
     # Compute the error as the average of the errors from multiple Monte Carlo simulations varying the seed
     total_error = 0
     for seed in np.random.randint(0, 10000, NUMBER_MONTE_CARLO):
-        # print(f"Running ABM with seed {seed} no cup") 
-        # run_ABM2(params, int(seed), num_cells=28000)
-        # error = compute_error2(target_inner=0.09)
-        # total_error += error
-        # print(f"Error for seed {seed}: {error}")
-        # print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
-        # run_ABM(params, int(seed), num_cells=28000)
-        # error = compute_error(target_inner=0.009, target_outer=0.16)
-        # total_error += error
-        # print(f"Error for seed {seed}: {error}")
-        print(f"Running ABM with seed {seed} and num_cells=28000 with cup")
         run_ABM(params, int(seed))
+
         error = compute_error()
         total_error += error
-        print(f"Error for seed {seed}: {error}")
 
     error = total_error / NUMBER_MONTE_CARLO
 
@@ -434,15 +189,8 @@ def set_export_value(path: Path, value: bool):
 
         df = study.trials_dataframe()
         df.to_csv(EXPERIMENT_DIR / "optuna_results.csv", index=False, mode="w")
-        # for t in study.trials:
-        #     print(
-        #         f"Trial {t.number:2d} | "
-        #         f"value={t.value:.6f} | "
-        #         f"params={t.params} | "
-        #         f"state={t.state}"
-        #     )
 
     finally:
         # Restore the original content of the bdm.toml and params.json files always, even if an error occurs during the optimization process
         BDM_TOML_PATH.write_text(original_bdm)
-        PARAMS_PATH.write_text(original_params)
+        PARAMS_PATH.write_text(original_params)
\ No newline at end of file
diff --git a/bdm.toml b/bdm.toml
index 07f34a1..a124c49 100644
--- a/bdm.toml
+++ b/bdm.toml
@@ -1,5 +1,5 @@
 [visualization]
-export = false
+export = true
 interval = 1200
 
 [[visualize_agent]]
diff --git a/draft/19_08_26_configuration.json b/draft/19_08_26_configuration.json
deleted file mode 100644
index f7faf72..0000000
--- a/draft/19_08_26_configuration.json
+++ /dev/null
@@ -1,76 +0,0 @@
-{
-  "seed": 47,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
-  "diffuse_glucose_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "treatment": {
-    "0": 56000
-  },
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0000049,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": true,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 7,
-  "default_glucose_consumption_cart": 0.07,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": 0,
-  "std_migration_bias_cart": 0.135,
-  "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.00032,
-  "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 0.00001
-}
\ No newline at end of file
diff --git a/draft/analysis_radius_atribute.py b/draft/analysis_radius_atribute.py
deleted file mode 100644
index 872c003..0000000
--- a/draft/analysis_radius_atribute.py
+++ /dev/null
@@ -1,98 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file contains the Bayesian optimization workflow used to calibrate
-the model parameters, developed under Google Summer of Code (GSoC)
-for the compiler-research.org organization.
-"""
-
-
-import re
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-
-# ---- settings ----
-CSV_PATH = "./output/data_dependent_on_radius_tumor.csv"
-# MINUTE = 1440 # change this to the minute you want to plot
-MINUTE = 60 # change this to the minute you want to plot
-# ATTRIBUTE= "num_alive_tumor_cells_radius"
-ATTRIBUTE= "average_oxygen_cancer_cells_radius" # tumor_cells_type5_dead_radius num_alive_cart_cells_radius
-# ATTRIBUTE = "average_oxygen_all_cells_radius"  # change this to the attribute you want to plot #average_glucose_all_cells
-# ATTRIBUTE = "num_alive_cart_cells_radius"  # change this to the attribute you want to plot #tumor_cells_type5_dead_radius
-# ATTRIBUTE ="average_glucose_all_cells_radius"
-# other examples: "average_glucose_all_cells_radius", "average_oxygen_cancer_cells_radius", "num_alive_cart_cells_radius"
-# "num_alive_cells_radius", "num_alive_tumor_cells_radius", etc.
-DIVIDING_FACTOR = 585  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# DIVIDING_FACTOR = 1  # change this to the factor you want to divide by. Use 525 to pass from mmHg to mol/m3
-# APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-APPLY_RADIAL_NORMALIZATION = False  # change this to True if you want to apply radial normalization to the attribute
-Y_MIN = 0
-Y_MAX = None
-
-# ---- load data ----
-df = pd.read_csv(CSV_PATH)
-row = df[df["total_minutes"] == MINUTE].iloc[0]
-
-# ---- find columns for the chosen attribute ----
-pattern = re.compile(rf"^{re.escape(ATTRIBUTE)}_(\d+)_to_(\d+)$")
-points = []
-for col in df.columns:
-    m = pattern.match(col)
-    if m and pd.notna(row[col]):
-        x_start, x_end = int(m.group(1)), int(m.group(2))
-        radius = (x_start + x_end) / 2
-        points.append((radius, x_start, x_end, row[col]))
-
-if not points:
-    raise SystemExit(f"No columns found matching attribute '{ATTRIBUTE}'")
-
-points.sort(key=lambda p: p[0])
-radii = [p[0] for p in points]
-raw_values = np.array([p[3] for p in points], dtype=float)
-
-if APPLY_RADIAL_NORMALIZATION:
-    r_in = np.array([p[1] for p in points], dtype=float)
-    r_out = np.array([p[2] for p in points], dtype=float)
-    ring_area = np.pi * (r_out**2 - r_in**2)
-    # print(raw_values)
-    # print("a")
-    print(ring_area)
-    raw_values = raw_values / ring_area
-
-
-values = raw_values / DIVIDING_FACTOR
-
-print(f"Attribute: {ATTRIBUTE}")
-print(f"Minute: {MINUTE}")
-print(f"Radius range with data: {radii[0]} to {radii[-1]}")
-print(f"Number of points: {len(radii)}")
-print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
-
-# ---- plot ----
-plt.figure(figsize=(8, 5))
-plt.plot(radii, values, marker="o")
-plt.xlabel("Radius (um)")
-ylabel = ATTRIBUTE + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else "")
-plt.ylabel(ylabel)
-plt.title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
-plt.grid(True, alpha=0.3)
-if Y_MIN is not None or Y_MAX is not None:
-    plt.ylim(bottom=Y_MIN, top=Y_MAX)
-
-plt.tight_layout()
-plt.savefig("./draft/" + ATTRIBUTE + "_vs_radius.png", dpi=150)
-print("Saved plot to " + ATTRIBUTE + "_vs_radius.png")
\ No newline at end of file
diff --git a/draft/average_glucose_all_cells_radius_vs_radius.png b/draft/average_glucose_all_cells_radius_vs_radius.png
deleted file mode 100644
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diff --git a/draft/condig_saturday_consumption_cart15_08.json b/draft/condig_saturday_consumption_cart15_08.json
deleted file mode 100644
index 119747d..0000000
--- a/draft/condig_saturday_consumption_cart15_08.json
+++ /dev/null
@@ -1,73 +0,0 @@
-{
-  "seed": 42,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
-  "diffuse_glucose_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 2800,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.45,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "treatment": {
-    "0": 560
-  },
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": true,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 7,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "migration_bias_cart": 0.0,
-  "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0
-}
\ No newline at end of file
diff --git a/draft/config2_noDecay.json b/draft/config2_noDecay.json
deleted file mode 100644
index f0d2a98..0000000
--- a/draft/config2_noDecay.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "seed": 42,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -6600.0,
-  "lateral_oxygen_production_max_z": 6600.0,
-  "diffuse_on_z_axis": true,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 143.0,
-   "default_oxygen_consumption_tumor_cell": 68.7,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.0,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 41.0,
-  "standard_deviation_transformation_random_rate": 8.0,
-  "oxygen_saturation_for_proliferation": 46.6,
-  "oxygen_limit_for_proliferation": 0.0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0
-}
\ No newline at end of file
diff --git a/draft/config_13_08_cart_migrattion.json b/draft/config_13_08_cart_migrattion.json
deleted file mode 100644
index 2f05925..0000000
--- a/draft/config_13_08_cart_migrattion.json
+++ /dev/null
@@ -1,72 +0,0 @@
-{
-  "seed": 42,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
-  "diffuse_glucose_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "treatment": {
-    "0": 560000
-  },
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000129,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": true,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "default_glucose_consumption_cart": 0.045,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "migration_bias_cart": 0.0,
-  "persistence_time_cart": 0,
-  "kill_rate_cart": 0.0
-}
\ No newline at end of file
diff --git a/draft/config_after_midterm.json b/draft/config_after_midterm.json
deleted file mode 100644
index 6dc66a1..0000000
--- a/draft/config_after_midterm.json
+++ /dev/null
@@ -1,47 +0,0 @@
-{
-  "seed": 42,
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 2875.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "default_volume_new_cart_cell": 269.0,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 560000
-  },
-  "average_time_transformation_random_rate": 72.0,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0000166,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": false,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "decay_constant_glucose": 0.01,
-  "initial_glucose_level": 24.98
-}
\ No newline at end of file
diff --git a/draft/config_friday_14_08.json b/draft/config_friday_14_08.json
deleted file mode 100644
index 3c94d8a..0000000
--- a/draft/config_friday_14_08.json
+++ /dev/null
@@ -1,73 +0,0 @@
-{
-  "seed": 42,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
-  "diffuse_glucose_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "treatment": {
-    "0": 5600
-  },
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": true,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 0,
-  "default_glucose_consumption_cart": 1.65,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "migration_bias_cart": 0.013,
-  "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.0013
-}
\ No newline at end of file
diff --git a/draft/config_glucose_not_affect_proliferation.json b/draft/config_glucose_not_affect_proliferation.json
deleted file mode 100644
index 5156aee..0000000
--- a/draft/config_glucose_not_affect_proliferation.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "seed": 9,
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "default_volume_new_cart_cell": 269.0,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 12,
-  "standard_deviation_transformation_random_rate": 14.0,
-  "glucose_saturation_for_proliferation": 0,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 4.7e-06,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": false,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_proliferation": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000093
-}
\ No newline at end of file
diff --git a/draft/config_very_variable_outcomes.json b/draft/config_very_variable_outcomes.json
deleted file mode 100644
index 6e66318..0000000
--- a/draft/config_very_variable_outcomes.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "seed": 9,
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "default_volume_new_cart_cell": 269.0,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_oxygen_consumption_cart": 0,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 49,
-  "standard_deviation_transformation_random_rate": 14.0,
-  "glucose_saturation_for_proliferation": 25,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 0,
-  "oxygen_limit_for_proliferation": 0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 4.7e-06,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 20.0,
-  "add_immunostimulatory_factor": false,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "default_glucose_consumption_cart": 0.145,
-  "glucose_limit_for_proliferation": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.0001
-}
\ No newline at end of file
diff --git a/draft/config_with_aging_factor.json b/draft/config_with_aging_factor.json
deleted file mode 100644
index 09ba2f1..0000000
--- a/draft/config_with_aging_factor.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "seed": 2,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 45.6,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 72.0,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 13.85,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.00002276,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0000031,
-  "nutrient_starvation_factor_cancer_cells": 1.000602
-}
\ No newline at end of file
diff --git a/draft/config_without_aging_factor.json b/draft/config_without_aging_factor.json
deleted file mode 100644
index b63d20e..0000000
--- a/draft/config_without_aging_factor.json
+++ /dev/null
@@ -1,38 +0,0 @@
-{
-  "seed": 42,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 45.6,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 72.0,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0000166,
-  "nutrient_starvation_factor_cancer_cells": 1.00
-}
\ No newline at end of file
diff --git a/draft/configuration_model_no_treatment_21_08.json b/draft/configuration_model_no_treatment_21_08.json
deleted file mode 100644
index c3bdfcb..0000000
--- a/draft/configuration_model_no_treatment_21_08.json
+++ /dev/null
@@ -1,76 +0,0 @@
-{
-  "seed": seed,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 20,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": False,
-  "diffuse_glucose_on_z_axis": False,
-  "output_performance_statistics": False,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": True,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 0.0000216,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.000005,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": True,
-  "add_glucose": True,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,  
-  "default_oxygen_consumption_cart": 7,
-  "default_glucose_consumption_cart": 0.07,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": 0,
-  "std_migration_bias_cart": 0.135,
-  "persistence_time_cart": 0,
-  "kill_rate_cart": 0.521,
-  "adhesion_rate_cart": 0.00032,
-  "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 0.00001
-}
\ No newline at end of file
diff --git a/draft/cylinder_configDecay0_1.json b/draft/cylinder_configDecay0_1.json
deleted file mode 100644
index 86aaa5b..0000000
--- a/draft/cylinder_configDecay0_1.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "seed": 42,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 100,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "diffuse_on_z_axis": false,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 146.0,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.1,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "default_oxygen_consumption_tumor_cell": 20.0,
-  "average_time_transformation_random_rate": 41.0,
-  "standard_deviation_transformation_random_rate": 8.0,
-  "oxygen_saturation_for_proliferation": 46.6,
-  "oxygen_limit_for_proliferation": 0.0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0
-}
\ No newline at end of file
diff --git a/draft/deacay0_01.json b/draft/deacay0_01.json
deleted file mode 100644
index 39aa1b4..0000000
--- a/draft/deacay0_01.json
+++ /dev/null
@@ -1,36 +0,0 @@
-{
-  "seed": 42,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "num_radius_intervals": 20,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "lateral_oxygen_production_min_z": -6600.0,
-  "lateral_oxygen_production_max_z": 6600.0,
-  "diffuse_on_z_axis": true,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 142.0,
-   "default_oxygen_consumption_tumor_cell": 53.5,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "treatment": {
-    "0": 0
-  },
-  "average_time_transformation_random_rate": 41.0,
-  "standard_deviation_transformation_random_rate": 8.0,
-  "oxygen_saturation_for_proliferation": 46.6,
-  "oxygen_limit_for_proliferation": 0.0,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 0.0,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 0.0
-}
\ No newline at end of file
diff --git a/draft/execution_seed_0/data_dependent_on_radius_tumor.csv b/draft/execution_seed_0/data_dependent_on_radius_tumor.csv
deleted file mode 100644
index 9ce7a2b..0000000
--- a/draft/execution_seed_0/data_dependent_on_radius_tumor.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,num_alive_cells_radius_0_to_30,num_dead_cells_radius_0_to_30,total_num_cells_radius_0_to_30,num_alive_tumor_cells_radius_0_to_30,total_num_tumor_cells_radius_0_to_30,num_alive_cart_cells_radius_0_to_30,num_dead_cart_cells_radius_0_to_30,tumor_cells_type1_radius_0_to_30,tumor_cells_type2_radius_0_to_30,tumor_cells_type3_radius_0_to_30,tumor_cells_type4_radius_0_to_30,tumor_cells_type5_dead_radius_0_to_30,average_oncoprotein_radius_0_to_30,average_oxygen_cancer_cells_radius_0_to_30,average_oxygen_all_cells_radius_0_to_30,average_glucose_cancer_cells_radius_0_to_30,average_glucose_all_cells_radius_0_to_30,average_radius_distance_living_cart_cells_radius_0_to_30,num_alive_cells_radius_30_to_60,num_dead_cells_radius_30_to_60,total_num_cells_radius_30_to_60,num_alive_tumor_cells_radius_30_to_60,total_num_tumor_cells_radius_30_to_60,num_alive_cart_cells_radius_30_to_60,num_dead_cart_cells_radius_30_to_60,tumor_cells_type1_radius_30_to_60,tumor_cells_type2_radius_30_to_60,tumor_cells_type3_radius_30_to_60,tumor_cells_type4_radius_30_to_60,tumor_cells_type5_dead_radius_30_to_60,average_oncoprotein_radius_30_to_60,average_oxygen_cancer_cells_radius_30_to_60,average_oxygen_all_cells_radius_30_to_60,average_glucose_cancer_cells_radius_30_to_60,average_glucose_all_cells_radius_30_to_60,average_radius_distance_living_cart_cells_radius_30_to_60,num_alive_cells_radius_60_to_90,num_dead_cells_radius_60_to_90,total_num_cells_radius_60_to_90,num_alive_tumor_cells_radius_60_to_90,total_num_tumor_cells_radius_60_to_90,num_alive_cart_cells_radius_60_to_90,num_dead_cart_cells_radius_60_to_90,tumor_cells_type1_radius_60_to_90,tumor_cells_type2_radius_60_to_90,tumor_cells_type3_radius_60_to_90,tumor_cells_type4_radius_60_to_90,tumor_cells_type5_dead_radius_60_to_90,average_oncoprotein_radius_60_to_90,average_oxygen_cancer_cells_radius_60_to_90,average_oxygen_all_cells_radius_60_to_90,average_glucose_cancer_cells_radius_60_to_90,average_glucose_all_cells_radius_60_to_90,average_radius_distance_living_cart_cells_radius_60_to_90,num_alive_cells_radius_90_to_120,num_dead_cells_radius_90_to_120,total_num_cells_radius_90_to_120,num_alive_tumor_cells_radius_90_to_120,total_num_tumor_cells_radius_90_to_120,num_alive_cart_cells_radius_90_to_120,num_dead_cart_cells_radius_90_to_120,tumor_cells_type1_radius_90_to_120,tumor_cells_type2_radius_90_to_120,tumor_cells_type3_radius_90_to_120,tumor_cells_type4_radius_90_to_120,tumor_cells_type5_dead_radius_90_to_120,average_oncoprotein_radius_90_to_120,average_oxygen_cancer_cells_radius_90_to_120,average_oxygen_all_cells_radius_90_to_120,average_glucose_cancer_cells_radius_90_to_120,average_glucose_all_cells_radius_90_to_120,average_radius_distance_living_cart_cells_radius_90_to_120,num_alive_cells_radius_120_to_150,num_dead_cells_radius_120_to_150,total_num_cells_radius_120_to_150,num_alive_tumor_cells_radius_120_to_150,total_num_tumor_cells_radius_120_to_150,num_alive_cart_cells_radius_120_to_150,num_dead_cart_cells_radius_120_to_150,tumor_cells_type1_radius_120_to_150,tumor_cells_type2_radius_120_to_150,tumor_cells_type3_radius_120_to_150,tumor_cells_type4_radius_120_to_150,tumor_cells_type5_dead_radius_120_to_150,average_oncoprotein_radius_120_to_150,average_oxygen_cancer_cells_radius_120_to_150,average_oxygen_all_cells_radius_120_to_150,average_glucose_cancer_cells_radius_120_to_150,average_glucose_all_cells_radius_120_to_150,average_radius_distance_living_cart_cells_radius_120_to_150,num_alive_cells_radius_150_to_180,num_dead_cells_radius_150_to_180,total_num_cells_radius_150_to_180,num_alive_tumor_cells_radius_150_to_180,total_num_tumor_cells_radius_150_to_180,num_alive_cart_cells_radius_150_to_180,num_dead_cart_cells_radius_150_to_180,tumor_cells_type1_radius_150_to_180,tumor_cells_type2_radius_150_to_180,tumor_cells_type3_radius_150_to_180,tumor_cells_type4_radius_150_to_180,tumor_cells_type5_dead_radius_150_to_180,average_oncoprotein_radius_150_to_180,average_oxygen_cancer_cells_radius_150_to_180,average_oxygen_all_cells_radius_150_to_180,average_glucose_cancer_cells_radius_150_to_180,average_glucose_all_cells_radius_150_to_180,average_radius_distance_living_cart_cells_radius_150_to_180,num_alive_cells_radius_180_to_210,num_dead_cells_radius_180_to_210,total_num_cells_radius_180_to_210,num_alive_tumor_cells_radius_180_to_210,total_num_tumor_cells_radius_180_to_210,num_alive_cart_cells_radius_180_to_210,num_dead_cart_cells_radius_180_to_210,tumor_cells_type1_radius_180_to_210,tumor_cells_type2_radius_180_to_210,tumor_cells_type3_radius_180_to_210,tumor_cells_type4_radius_180_to_210,tumor_cells_type5_dead_radius_180_to_210,average_oncoprotein_radius_180_to_210,average_oxygen_cancer_cells_radius_180_to_210,average_oxygen_all_cells_radius_180_to_210,average_glucose_cancer_cells_radius_180_to_210,average_glucose_all_cells_radius_180_to_210,average_radius_distance_living_cart_cells_radius_180_to_210,num_alive_cells_radius_210_to_240,num_dead_cells_radius_210_to_240,total_num_cells_radius_210_to_240,num_alive_tumor_cells_radius_210_to_240,total_num_tumor_cells_radius_210_to_240,num_alive_cart_cells_radius_210_to_240,num_dead_cart_cells_radius_210_to_240,tumor_cells_type1_radius_210_to_240,tumor_cells_type2_radius_210_to_240,tumor_cells_type3_radius_210_to_240,tumor_cells_type4_radius_210_to_240,tumor_cells_type5_dead_radius_210_to_240,average_oncoprotein_radius_210_to_240,average_oxygen_cancer_cells_radius_210_to_240,average_oxygen_all_cells_radius_210_to_240,average_glucose_cancer_cells_radius_210_to_240,average_glucose_all_cells_radius_210_to_240,average_radius_distance_living_cart_cells_radius_210_to_240,num_alive_cells_radius_240_to_270,num_dead_cells_radius_240_to_270,total_num_cells_radius_240_to_270,num_alive_tumor_cells_radius_240_to_270,total_num_tumor_cells_radius_240_to_270,num_alive_cart_cells_radius_240_to_270,num_dead_cart_cells_radius_240_to_270,tumor_cells_type1_radius_240_to_270,tumor_cells_type2_radius_240_to_270,tumor_cells_type3_radius_240_to_270,tumor_cells_type4_radius_240_to_270,tumor_cells_type5_dead_radius_240_to_270,average_oncoprotein_radius_240_to_270,average_oxygen_cancer_cells_radius_240_to_270,average_oxygen_all_cells_radius_240_to_270,average_glucose_cancer_cells_radius_240_to_270,average_glucose_all_cells_radius_240_to_270,average_radius_distance_living_cart_cells_radius_240_to_270,num_alive_cells_radius_270_to_300,num_dead_cells_radius_270_to_300,total_num_cells_radius_270_to_300,num_alive_tumor_cells_radius_270_to_300,total_num_tumor_cells_radius_270_to_300,num_alive_cart_cells_radius_270_to_300,num_dead_cart_cells_radius_270_to_300,tumor_cells_type1_radius_270_to_300,tumor_cells_type2_radius_270_to_300,tumor_cells_type3_radius_270_to_300,tumor_cells_type4_radius_270_to_300,tumor_cells_type5_dead_radius_270_to_300,average_oncoprotein_radius_270_to_300,average_oxygen_cancer_cells_radius_270_to_300,average_oxygen_all_cells_radius_270_to_300,average_glucose_cancer_cells_radius_270_to_300,average_glucose_all_cells_radius_270_to_300,average_radius_distance_living_cart_cells_radius_270_to_300,num_alive_cells_radius_300_to_330,num_dead_cells_radius_300_to_330,total_num_cells_radius_300_to_330,num_alive_tumor_cells_radius_300_to_330,total_num_tumor_cells_radius_300_to_330,num_alive_cart_cells_radius_300_to_330,num_dead_cart_cells_radius_300_to_330,tumor_cells_type1_radius_300_to_330,tumor_cells_type2_radius_300_to_330,tumor_cells_type3_radius_300_to_330,tumor_cells_type4_radius_300_to_330,tumor_cells_type5_dead_radius_300_to_330,average_oncoprotein_radius_300_to_330,average_oxygen_cancer_cells_radius_300_to_330,average_oxygen_all_cells_radius_300_to_330,average_glucose_cancer_cells_radius_300_to_330,average_glucose_all_cells_radius_300_to_330,average_radius_distance_living_cart_cells_radius_300_to_330,num_alive_cells_radius_330_to_360,num_dead_cells_radius_330_to_360,total_num_cells_radius_330_to_360,num_alive_tumor_cells_radius_330_to_360,total_num_tumor_cells_radius_330_to_360,num_alive_cart_cells_radius_330_to_360,num_dead_cart_cells_radius_330_to_360,tumor_cells_type1_radius_330_to_360,tumor_cells_type2_radius_330_to_360,tumor_cells_type3_radius_330_to_360,tumor_cells_type4_radius_330_to_360,tumor_cells_type5_dead_radius_330_to_360,average_oncoprotein_radius_330_to_360,average_oxygen_cancer_cells_radius_330_to_360,average_oxygen_all_cells_radius_330_to_360,average_glucose_cancer_cells_radius_330_to_360,average_glucose_all_cells_radius_330_to_360,average_radius_distance_living_cart_cells_radius_330_to_360,num_alive_cells_radius_360_to_390,num_dead_cells_radius_360_to_390,total_num_cells_radius_360_to_390,num_alive_tumor_cells_radius_360_to_390,total_num_tumor_cells_radius_360_to_390,num_alive_cart_cells_radius_360_to_390,num_dead_cart_cells_radius_360_to_390,tumor_cells_type1_radius_360_to_390,tumor_cells_type2_radius_360_to_390,tumor_cells_type3_radius_360_to_390,tumor_cells_type4_radius_360_to_390,tumor_cells_type5_dead_radius_360_to_390,average_oncoprotein_radius_360_to_390,average_oxygen_cancer_cells_radius_360_to_390,average_oxygen_all_cells_radius_360_to_390,average_glucose_cancer_cells_radius_360_to_390,average_glucose_all_cells_radius_360_to_390,average_radius_distance_living_cart_cells_radius_360_to_390,num_alive_cells_radius_390_to_420,num_dead_cells_radius_390_to_420,total_num_cells_radius_390_to_420,num_alive_tumor_cells_radius_390_to_420,total_num_tumor_cells_radius_390_to_420,num_alive_cart_cells_radius_390_to_420,num_dead_cart_cells_radius_390_to_420,tumor_cells_type1_radius_390_to_420,tumor_cells_type2_radius_390_to_420,tumor_cells_type3_radius_390_to_420,tumor_cells_type4_radius_390_to_420,tumor_cells_type5_dead_radius_390_to_420,average_oncoprotein_radius_390_to_420,average_oxygen_cancer_cells_radius_390_to_420,average_oxygen_all_cells_radius_390_to_420,average_glucose_cancer_cells_radius_390_to_420,average_glucose_all_cells_radius_390_to_420,average_radius_distance_living_cart_cells_radius_390_to_420,num_alive_cells_radius_420_to_450,num_dead_cells_radius_420_to_450,total_num_cells_radius_420_to_450,num_alive_tumor_cells_radius_420_to_450,total_num_tumor_cells_radius_420_to_450,num_alive_cart_cells_radius_420_to_450,num_dead_cart_cells_radius_420_to_450,tumor_cells_type1_radius_420_to_450,tumor_cells_type2_radius_420_to_450,tumor_cells_type3_radius_420_to_450,tumor_cells_type4_radius_420_to_450,tumor_cells_type5_dead_radius_420_to_450,average_oncoprotein_radius_420_to_450,average_oxygen_cancer_cells_radius_420_to_450,average_oxygen_all_cells_radius_420_to_450,average_glucose_cancer_cells_radius_420_to_450,average_glucose_all_cells_radius_420_to_450,average_radius_distance_living_cart_cells_radius_420_to_450,num_alive_cells_radius_450_to_480,num_dead_cells_radius_450_to_480,total_num_cells_radius_450_to_480,num_alive_tumor_cells_radius_450_to_480,total_num_tumor_cells_radius_450_to_480,num_alive_cart_cells_radius_450_to_480,num_dead_cart_cells_radius_450_to_480,tumor_cells_type1_radius_450_to_480,tumor_cells_type2_radius_450_to_480,tumor_cells_type3_radius_450_to_480,tumor_cells_type4_radius_450_to_480,tumor_cells_type5_dead_radius_450_to_480,average_oncoprotein_radius_450_to_480,average_oxygen_cancer_cells_radius_450_to_480,average_oxygen_all_cells_radius_450_to_480,average_glucose_cancer_cells_radius_450_to_480,average_glucose_all_cells_radius_450_to_480,average_radius_distance_living_cart_cells_radius_450_to_480,num_alive_cells_radius_480_to_510,num_dead_cells_radius_480_to_510,total_num_cells_radius_480_to_510,num_alive_tumor_cells_radius_480_to_510,total_num_tumor_cells_radius_480_to_510,num_alive_cart_cells_radius_480_to_510,num_dead_cart_cells_radius_480_to_510,tumor_cells_type1_radius_480_to_510,tumor_cells_type2_radius_480_to_510,tumor_cells_type3_radius_480_to_510,tumor_cells_type4_radius_480_to_510,tumor_cells_type5_dead_radius_480_to_510,average_oncoprotein_radius_480_to_510,average_oxygen_cancer_cells_radius_480_to_510,average_oxygen_all_cells_radius_480_to_510,average_glucose_cancer_cells_radius_480_to_510,average_glucose_all_cells_radius_480_to_510,average_radius_distance_living_cart_cells_radius_480_to_510,num_alive_cells_radius_510_to_540,num_dead_cells_radius_510_to_540,total_num_cells_radius_510_to_540,num_alive_tumor_cells_radius_510_to_540,total_num_tumor_cells_radius_510_to_540,num_alive_cart_cells_radius_510_to_540,num_dead_cart_cells_radius_510_to_540,tumor_cells_type1_radius_510_to_540,tumor_cells_type2_radius_510_to_540,tumor_cells_type3_radius_510_to_540,tumor_cells_type4_radius_510_to_540,tumor_cells_type5_dead_radius_510_to_540,average_oncoprotein_radius_510_to_540,average_oxygen_cancer_cells_radius_510_to_540,average_oxygen_all_cells_radius_510_to_540,average_glucose_cancer_cells_radius_510_to_540,average_glucose_all_cells_radius_510_to_540,average_radius_distance_living_cart_cells_radius_510_to_540,num_alive_cells_radius_540_to_570,num_dead_cells_radius_540_to_570,total_num_cells_radius_540_to_570,num_alive_tumor_cells_radius_540_to_570,total_num_tumor_cells_radius_540_to_570,num_alive_cart_cells_radius_540_to_570,num_dead_cart_cells_radius_540_to_570,tumor_cells_type1_radius_540_to_570,tumor_cells_type2_radius_540_to_570,tumor_cells_type3_radius_540_to_570,tumor_cells_type4_radius_540_to_570,tumor_cells_type5_dead_radius_540_to_570,average_oncoprotein_radius_540_to_570,average_oxygen_cancer_cells_radius_540_to_570,average_oxygen_all_cells_radius_540_to_570,average_glucose_cancer_cells_radius_540_to_570,average_glucose_all_cells_radius_540_to_570,average_radius_distance_living_cart_cells_radius_540_to_570,num_alive_cells_radius_570_to_600,num_dead_cells_radius_570_to_600,total_num_cells_radius_570_to_600,num_alive_tumor_cells_radius_570_to_600,total_num_tumor_cells_radius_570_to_600,num_alive_cart_cells_radius_570_to_600,num_dead_cart_cells_radius_570_to_600,tumor_cells_type1_radius_570_to_600,tumor_cells_type2_radius_570_to_600,tumor_cells_type3_radius_570_to_600,tumor_cells_type4_radius_570_to_600,tumor_cells_type5_dead_radius_570_to_600,average_oncoprotein_radius_570_to_600,average_oxygen_cancer_cells_radius_570_to_600,average_oxygen_all_cells_radius_570_to_600,average_glucose_cancer_cells_radius_570_to_600,average_glucose_all_cells_radius_570_to_600,average_radius_distance_living_cart_cells_radius_570_to_600,num_alive_cells_radius_600_to_630,num_dead_cells_radius_600_to_630,total_num_cells_radius_600_to_630,num_alive_tumor_cells_radius_600_to_630,total_num_tumor_cells_radius_600_to_630,num_alive_cart_cells_radius_600_to_630,num_dead_cart_cells_radius_600_to_630,tumor_cells_type1_radius_600_to_630,tumor_cells_type2_radius_600_to_630,tumor_cells_type3_radius_600_to_630,tumor_cells_type4_radius_600_to_630,tumor_cells_type5_dead_radius_600_to_630,average_oncoprotein_radius_600_to_630,average_oxygen_cancer_cells_radius_600_to_630,average_oxygen_all_cells_radius_600_to_630,average_glucose_cancer_cells_radius_600_to_630,average_glucose_all_cells_radius_600_to_630,average_radius_distance_living_cart_cells_radius_600_to_630,num_alive_cells_radius_630_to_660,num_dead_cells_radius_630_to_660,total_num_cells_radius_630_to_660,num_alive_tumor_cells_radius_630_to_660,total_num_tumor_cells_radius_630_to_660,num_alive_cart_cells_radius_630_to_660,num_dead_cart_cells_radius_630_to_660,tumor_cells_type1_radius_630_to_660,tumor_cells_type2_radius_630_to_660,tumor_cells_type3_radius_630_to_660,tumor_cells_type4_radius_630_to_660,tumor_cells_type5_dead_radius_630_to_660,average_oncoprotein_radius_630_to_660,average_oxygen_cancer_cells_radius_630_to_660,average_oxygen_all_cells_radius_630_to_660,average_glucose_cancer_cells_radius_630_to_660,average_glucose_all_cells_radius_630_to_660,average_radius_distance_living_cart_cells_radius_630_to_660,num_alive_cells_radius_660_to_690,num_dead_cells_radius_660_to_690,total_num_cells_radius_660_to_690,num_alive_tumor_cells_radius_660_to_690,total_num_tumor_cells_radius_660_to_690,num_alive_cart_cells_radius_660_to_690,num_dead_cart_cells_radius_660_to_690,tumor_cells_type1_radius_660_to_690,tumor_cells_type2_radius_660_to_690,tumor_cells_type3_radius_660_to_690,tumor_cells_type4_radius_660_to_690,tumor_cells_type5_dead_radius_660_to_690,average_oncoprotein_radius_660_to_690,average_oxygen_cancer_cells_radius_660_to_690,average_oxygen_all_cells_radius_660_to_690,average_glucose_cancer_cells_radius_660_to_690,average_glucose_all_cells_radius_660_to_690,average_radius_distance_living_cart_cells_radius_660_to_690,num_alive_cells_radius_690_to_720,num_dead_cells_radius_690_to_720,total_num_cells_radius_690_to_720,num_alive_tumor_cells_radius_690_to_720,total_num_tumor_cells_radius_690_to_720,num_alive_cart_cells_radius_690_to_720,num_dead_cart_cells_radius_690_to_720,tumor_cells_type1_radius_690_to_720,tumor_cells_type2_radius_690_to_720,tumor_cells_type3_radius_690_to_720,tumor_cells_type4_radius_690_to_720,tumor_cells_type5_dead_radius_690_to_720,average_oncoprotein_radius_690_to_720,average_oxygen_cancer_cells_radius_690_to_720,average_oxygen_all_cells_radius_690_to_720,average_glucose_cancer_cells_radius_690_to_720,average_glucose_all_cells_radius_690_to_720,average_radius_distance_living_cart_cells_radius_690_to_720,num_alive_cells_radius_720_to_750,num_dead_cells_radius_720_to_750,total_num_cells_radius_720_to_750,num_alive_tumor_cells_radius_720_to_750,total_num_tumor_cells_radius_720_to_750,num_alive_cart_cells_radius_720_to_750,num_dead_cart_cells_radius_720_to_750,tumor_cells_type1_radius_720_to_750,tumor_cells_type2_radius_720_to_750,tumor_cells_type3_radius_720_to_750,tumor_cells_type4_radius_720_to_750,tumor_cells_type5_dead_radius_720_to_750,average_oncoprotein_radius_720_to_750,average_oxygen_cancer_cells_radius_720_to_750,average_oxygen_all_cells_radius_720_to_750,average_glucose_cancer_cells_radius_720_to_750,average_glucose_all_cells_radius_720_to_750,average_radius_distance_living_cart_cells_radius_720_to_750,num_alive_cells_radius_750_to_780,num_dead_cells_radius_750_to_780,total_num_cells_radius_750_to_780,num_alive_tumor_cells_radius_750_to_780,total_num_tumor_cells_radius_750_to_780,num_alive_cart_cells_radius_750_to_780,num_dead_cart_cells_radius_750_to_780,tumor_cells_type1_radius_750_to_780,tumor_cells_type2_radius_750_to_780,tumor_cells_type3_radius_750_to_780,tumor_cells_type4_radius_750_to_780,tumor_cells_type5_dead_radius_750_to_780,average_oncoprotein_radius_750_to_780,average_oxygen_cancer_cells_radius_750_to_780,average_oxygen_all_cells_radius_750_to_780,average_glucose_cancer_cells_radius_750_to_780,average_glucose_all_cells_radius_750_to_780,average_radius_distance_living_cart_cells_radius_750_to_780,num_alive_cells_radius_780_to_810,num_dead_cells_radius_780_to_810,total_num_cells_radius_780_to_810,num_alive_tumor_cells_radius_780_to_810,total_num_tumor_cells_radius_780_to_810,num_alive_cart_cells_radius_780_to_810,num_dead_cart_cells_radius_780_to_810,tumor_cells_type1_radius_780_to_810,tumor_cells_type2_radius_780_to_810,tumor_cells_type3_radius_780_to_810,tumor_cells_type4_radius_780_to_810,tumor_cells_type5_dead_radius_780_to_810,average_oncoprotein_radius_780_to_810,average_oxygen_cancer_cells_radius_780_to_810,average_oxygen_all_cells_radius_780_to_810,average_glucose_cancer_cells_radius_780_to_810,average_glucose_all_cells_radius_780_to_810,average_radius_distance_living_cart_cells_radius_780_to_810,num_alive_cells_radius_810_to_840,num_dead_cells_radius_810_to_840,total_num_cells_radius_810_to_840,num_alive_tumor_cells_radius_810_to_840,total_num_tumor_cells_radius_810_to_840,num_alive_cart_cells_radius_810_to_840,num_dead_cart_cells_radius_810_to_840,tumor_cells_type1_radius_810_to_840,tumor_cells_type2_radius_810_to_840,tumor_cells_type3_radius_810_to_840,tumor_cells_type4_radius_810_to_840,tumor_cells_type5_dead_radius_810_to_840,average_oncoprotein_radius_810_to_840,average_oxygen_cancer_cells_radius_810_to_840,average_oxygen_all_cells_radius_810_to_840,average_glucose_cancer_cells_radius_810_to_840,average_glucose_all_cells_radius_810_to_840,average_radius_distance_living_cart_cells_radius_810_to_840,num_alive_cells_radius_840_to_870,num_dead_cells_radius_840_to_870,total_num_cells_radius_840_to_870,num_alive_tumor_cells_radius_840_to_870,total_num_tumor_cells_radius_840_to_870,num_alive_cart_cells_radius_840_to_870,num_dead_cart_cells_radius_840_to_870,tumor_cells_type1_radius_840_to_870,tumor_cells_type2_radius_840_to_870,tumor_cells_type3_radius_840_to_870,tumor_cells_type4_radius_840_to_870,tumor_cells_type5_dead_radius_840_to_870,average_oncoprotein_radius_840_to_870,average_oxygen_cancer_cells_radius_840_to_870,average_oxygen_all_cells_radius_840_to_870,average_glucose_cancer_cells_radius_840_to_870,average_glucose_all_cells_radius_840_to_870,average_radius_distance_living_cart_cells_radius_840_to_870,num_alive_cells_radius_870_to_900,num_dead_cells_radius_870_to_900,total_num_cells_radius_870_to_900,num_alive_tumor_cells_radius_870_to_900,total_num_tumor_cells_radius_870_to_900,num_alive_cart_cells_radius_870_to_900,num_dead_cart_cells_radius_870_to_900,tumor_cells_type1_radius_870_to_900,tumor_cells_type2_radius_870_to_900,tumor_cells_type3_radius_870_to_900,tumor_cells_type4_radius_870_to_900,tumor_cells_type5_dead_radius_870_to_900,average_oncoprotein_radius_870_to_900,average_oxygen_cancer_cells_radius_870_to_900,average_oxygen_all_cells_radius_870_to_900,average_glucose_cancer_cells_radius_870_to_900,average_glucose_all_cells_radius_870_to_900,average_radius_distance_living_cart_cells_radius_870_to_900,num_alive_cells_radius_900_to_930,num_dead_cells_radius_900_to_930,total_num_cells_radius_900_to_930,num_alive_tumor_cells_radius_900_to_930,total_num_tumor_cells_radius_900_to_930,num_alive_cart_cells_radius_900_to_930,num_dead_cart_cells_radius_900_to_930,tumor_cells_type1_radius_900_to_930,tumor_cells_type2_radius_900_to_930,tumor_cells_type3_radius_900_to_930,tumor_cells_type4_radius_900_to_930,tumor_cells_type5_dead_radius_900_to_930,average_oncoprotein_radius_900_to_930,average_oxygen_cancer_cells_radius_900_to_930,average_oxygen_all_cells_radius_900_to_930,average_glucose_cancer_cells_radius_900_to_930,average_glucose_all_cells_radius_900_to_930,average_radius_distance_living_cart_cells_radius_900_to_930,num_alive_cells_radius_930_to_960,num_dead_cells_radius_930_to_960,total_num_cells_radius_930_to_960,num_alive_tumor_cells_radius_930_to_960,total_num_tumor_cells_radius_930_to_960,num_alive_cart_cells_radius_930_to_960,num_dead_cart_cells_radius_930_to_960,tumor_cells_type1_radius_930_to_960,tumor_cells_type2_radius_930_to_960,tumor_cells_type3_radius_930_to_960,tumor_cells_type4_radius_930_to_960,tumor_cells_type5_dead_radius_930_to_960,average_oncoprotein_radius_930_to_960,average_oxygen_cancer_cells_radius_930_to_960,average_oxygen_all_cells_radius_930_to_960,average_glucose_cancer_cells_radius_930_to_960,average_glucose_all_cells_radius_930_to_960,average_radius_distance_living_cart_cells_radius_930_to_960,num_alive_cells_radius_960_to_990,num_dead_cells_radius_960_to_990,total_num_cells_radius_960_to_990,num_alive_tumor_cells_radius_960_to_990,total_num_tumor_cells_radius_960_to_990,num_alive_cart_cells_radius_960_to_990,num_dead_cart_cells_radius_960_to_990,tumor_cells_type1_radius_960_to_990,tumor_cells_type2_radius_960_to_990,tumor_cells_type3_radius_960_to_990,tumor_cells_type4_radius_960_to_990,tumor_cells_type5_dead_radius_960_to_990,average_oncoprotein_radius_960_to_990,average_oxygen_cancer_cells_radius_960_to_990,average_oxygen_all_cells_radius_960_to_990,average_glucose_cancer_cells_radius_960_to_990,average_glucose_all_cells_radius_960_to_990,average_radius_distance_living_cart_cells_radius_960_to_990,num_alive_cells_radius_990_to_1020,num_dead_cells_radius_990_to_1020,total_num_cells_radius_990_to_1020,num_alive_tumor_cells_radius_990_to_1020,total_num_tumor_cells_radius_990_to_1020,num_alive_cart_cells_radius_990_to_1020,num_dead_cart_cells_radius_990_to_1020,tumor_cells_type1_radius_990_to_1020,tumor_cells_type2_radius_990_to_1020,tumor_cells_type3_radius_990_to_1020,tumor_cells_type4_radius_990_to_1020,tumor_cells_type5_dead_radius_990_to_1020,average_oncoprotein_radius_990_to_1020,average_oxygen_cancer_cells_radius_990_to_1020,average_oxygen_all_cells_radius_990_to_1020,average_glucose_cancer_cells_radius_990_to_1020,average_glucose_all_cells_radius_990_to_1020,average_radius_distance_living_cart_cells_radius_990_to_1020,num_alive_cells_radius_1020_to_1050,num_dead_cells_radius_1020_to_1050,total_num_cells_radius_1020_to_1050,num_alive_tumor_cells_radius_1020_to_1050,total_num_tumor_cells_radius_1020_to_1050,num_alive_cart_cells_radius_1020_to_1050,num_dead_cart_cells_radius_1020_to_1050,tumor_cells_type1_radius_1020_to_1050,tumor_cells_type2_radius_1020_to_1050,tumor_cells_type3_radius_1020_to_1050,tumor_cells_type4_radius_1020_to_1050,tumor_cells_type5_dead_radius_1020_to_1050,average_oncoprotein_radius_1020_to_1050,average_oxygen_cancer_cells_radius_1020_to_1050,average_oxygen_all_cells_radius_1020_to_1050,average_glucose_cancer_cells_radius_1020_to_1050,average_glucose_all_cells_radius_1020_to_1050,average_radius_distance_living_cart_cells_radius_1020_to_1050,num_alive_cells_radius_1050_to_1080,num_dead_cells_radius_1050_to_1080,total_num_cells_radius_1050_to_1080,num_alive_tumor_cells_radius_1050_to_1080,total_num_tumor_cells_radius_1050_to_1080,num_alive_cart_cells_radius_1050_to_1080,num_dead_cart_cells_radius_1050_to_1080,tumor_cells_type1_radius_1050_to_1080,tumor_cells_type2_radius_1050_to_1080,tumor_cells_type3_radius_1050_to_1080,tumor_cells_type4_radius_1050_to_1080,tumor_cells_type5_dead_radius_1050_to_1080,average_oncoprotein_radius_1050_to_1080,average_oxygen_cancer_cells_radius_1050_to_1080,average_oxygen_all_cells_radius_1050_to_1080,average_glucose_cancer_cells_radius_1050_to_1080,average_glucose_all_cells_radius_1050_to_1080,average_radius_distance_living_cart_cells_radius_1050_to_1080,num_alive_cells_radius_1080_to_1110,num_dead_cells_radius_1080_to_1110,total_num_cells_radius_1080_to_1110,num_alive_tumor_cells_radius_1080_to_1110,total_num_tumor_cells_radius_1080_to_1110,num_alive_cart_cells_radius_1080_to_1110,num_dead_cart_cells_radius_1080_to_1110,tumor_cells_type1_radius_1080_to_1110,tumor_cells_type2_radius_1080_to_1110,tumor_cells_type3_radius_1080_to_1110,tumor_cells_type4_radius_1080_to_1110,tumor_cells_type5_dead_radius_1080_to_1110,average_oncoprotein_radius_1080_to_1110,average_oxygen_cancer_cells_radius_1080_to_1110,average_oxygen_all_cells_radius_1080_to_1110,average_glucose_cancer_cells_radius_1080_to_1110,average_glucose_all_cells_radius_1080_to_1110,average_radius_distance_living_cart_cells_radius_1080_to_1110,num_alive_cells_radius_1110_to_1140,num_dead_cells_radius_1110_to_1140,total_num_cells_radius_1110_to_1140,num_alive_tumor_cells_radius_1110_to_1140,total_num_tumor_cells_radius_1110_to_1140,num_alive_cart_cells_radius_1110_to_1140,num_dead_cart_cells_radius_1110_to_1140,tumor_cells_type1_radius_1110_to_1140,tumor_cells_type2_radius_1110_to_1140,tumor_cells_type3_radius_1110_to_1140,tumor_cells_type4_radius_1110_to_1140,tumor_cells_type5_dead_radius_1110_to_1140,average_oncoprotein_radius_1110_to_1140,average_oxygen_cancer_cells_radius_1110_to_1140,average_oxygen_all_cells_radius_1110_to_1140,average_glucose_cancer_cells_radius_1110_to_1140,average_glucose_all_cells_radius_1110_to_1140,average_radius_distance_living_cart_cells_radius_1110_to_1140,num_alive_cells_radius_1140_to_1170,num_dead_cells_radius_1140_to_1170,total_num_cells_radius_1140_to_1170,num_alive_tumor_cells_radius_1140_to_1170,total_num_tumor_cells_radius_1140_to_1170,num_alive_cart_cells_radius_1140_to_1170,num_dead_cart_cells_radius_1140_to_1170,tumor_cells_type1_radius_1140_to_1170,tumor_cells_type2_radius_1140_to_1170,tumor_cells_type3_radius_1140_to_1170,tumor_cells_type4_radius_1140_to_1170,tumor_cells_type5_dead_radius_1140_to_1170,average_oncoprotein_radius_1140_to_1170,average_oxygen_cancer_cells_radius_1140_to_1170,average_oxygen_all_cells_radius_1140_to_1170,average_glucose_cancer_cells_radius_1140_to_1170,average_glucose_all_cells_radius_1140_to_1170,average_radius_distance_living_cart_cells_radius_1140_to_1170,num_alive_cells_radius_1170_to_1200,num_dead_cells_radius_1170_to_1200,total_num_cells_radius_1170_to_1200,num_alive_tumor_cells_radius_1170_to_1200,total_num_tumor_cells_radius_1170_to_1200,num_alive_cart_cells_radius_1170_to_1200,num_dead_cart_cells_radius_1170_to_1200,tumor_cells_type1_radius_1170_to_1200,tumor_cells_type2_radius_1170_to_1200,tumor_cells_type3_radius_1170_to_1200,tumor_cells_type4_radius_1170_to_1200,tumor_cells_type5_dead_radius_1170_to_1200,average_oncoprotein_radius_1170_to_1200,average_oxygen_cancer_cells_radius_1170_to_1200,average_oxygen_all_cells_radius_1170_to_1200,average_glucose_cancer_cells_radius_1170_to_1200,average_glucose_all_cells_radius_1170_to_1200,average_radius_distance_living_cart_cells_radius_1170_to_1200,num_alive_cells_radius_1200_to_1230,num_dead_cells_radius_1200_to_1230,total_num_cells_radius_1200_to_1230,num_alive_tumor_cells_radius_1200_to_1230,total_num_tumor_cells_radius_1200_to_1230,num_alive_cart_cells_radius_1200_to_1230,num_dead_cart_cells_radius_1200_to_1230,tumor_cells_type1_radius_1200_to_1230,tumor_cells_type2_radius_1200_to_1230,tumor_cells_type3_radius_1200_to_1230,tumor_cells_type4_radius_1200_to_1230,tumor_cells_type5_dead_radius_1200_to_1230,average_oncoprotein_radius_1200_to_1230,average_oxygen_cancer_cells_radius_1200_to_1230,average_oxygen_all_cells_radius_1200_to_1230,average_glucose_cancer_cells_radius_1200_to_1230,average_glucose_all_cells_radius_1200_to_1230,average_radius_distance_living_cart_cells_radius_1200_to_1230,num_alive_cells_radius_1230_to_1260,num_dead_cells_radius_1230_to_1260,total_num_cells_radius_1230_to_1260,num_alive_tumor_cells_radius_1230_to_1260,total_num_tumor_cells_radius_1230_to_1260,num_alive_cart_cells_radius_1230_to_1260,num_dead_cart_cells_radius_1230_to_1260,tumor_cells_type1_radius_1230_to_1260,tumor_cells_type2_radius_1230_to_1260,tumor_cells_type3_radius_1230_to_1260,tumor_cells_type4_radius_1230_to_1260,tumor_cells_type5_dead_radius_1230_to_1260,average_oncoprotein_radius_1230_to_1260,average_oxygen_cancer_cells_radius_1230_to_1260,average_oxygen_all_cells_radius_1230_to_1260,average_glucose_cancer_cells_radius_1230_to_1260,average_glucose_all_cells_radius_1230_to_1260,average_radius_distance_living_cart_cells_radius_1230_to_1260,num_alive_cells_radius_1260_to_1290,num_dead_cells_radius_1260_to_1290,total_num_cells_radius_1260_to_1290,num_alive_tumor_cells_radius_1260_to_1290,total_num_tumor_cells_radius_1260_to_1290,num_alive_cart_cells_radius_1260_to_1290,num_dead_cart_cells_radius_1260_to_1290,tumor_cells_type1_radius_1260_to_1290,tumor_cells_type2_radius_1260_to_1290,tumor_cells_type3_radius_1260_to_1290,tumor_cells_type4_radius_1260_to_1290,tumor_cells_type5_dead_radius_1260_to_1290,average_oncoprotein_radius_1260_to_1290,average_oxygen_cancer_cells_radius_1260_to_1290,average_oxygen_all_cells_radius_1260_to_1290,average_glucose_cancer_cells_radius_1260_to_1290,average_glucose_all_cells_radius_1260_to_1290,average_radius_distance_living_cart_cells_radius_1260_to_1290,num_alive_cells_radius_1290_to_1320,num_dead_cells_radius_1290_to_1320,total_num_cells_radius_1290_to_1320,num_alive_tumor_cells_radius_1290_to_1320,total_num_tumor_cells_radius_1290_to_1320,num_alive_cart_cells_radius_1290_to_1320,num_dead_cart_cells_radius_1290_to_1320,tumor_cells_type1_radius_1290_to_1320,tumor_cells_type2_radius_1290_to_1320,tumor_cells_type3_radius_1290_to_1320,tumor_cells_type4_radius_1290_to_1320,tumor_cells_type5_dead_radius_1290_to_1320,average_oncoprotein_radius_1290_to_1320,average_oxygen_cancer_cells_radius_1290_to_1320,average_oxygen_all_cells_radius_1290_to_1320,average_glucose_cancer_cells_radius_1290_to_1320,average_glucose_all_cells_radius_1290_to_1320,average_radius_distance_living_cart_cells_radius_1290_to_1320,num_alive_cells_radius_1320_to_1350,num_dead_cells_radius_1320_to_1350,total_num_cells_radius_1320_to_1350,num_alive_tumor_cells_radius_1320_to_1350,total_num_tumor_cells_radius_1320_to_1350,num_alive_cart_cells_radius_1320_to_1350,num_dead_cart_cells_radius_1320_to_1350,tumor_cells_type1_radius_1320_to_1350,tumor_cells_type2_radius_1320_to_1350,tumor_cells_type3_radius_1320_to_1350,tumor_cells_type4_radius_1320_to_1350,tumor_cells_type5_dead_radius_1320_to_1350,average_oncoprotein_radius_1320_to_1350,average_oxygen_cancer_cells_radius_1320_to_1350,average_oxygen_all_cells_radius_1320_to_1350,average_glucose_cancer_cells_radius_1320_to_1350,average_glucose_all_cells_radius_1320_to_1350,average_radius_distance_living_cart_cells_radius_1320_to_1350,num_alive_cells_radius_1350_to_1380,num_dead_cells_radius_1350_to_1380,total_num_cells_radius_1350_to_1380,num_alive_tumor_cells_radius_1350_to_1380,total_num_tumor_cells_radius_1350_to_1380,num_alive_cart_cells_radius_1350_to_1380,num_dead_cart_cells_radius_1350_to_1380,tumor_cells_type1_radius_1350_to_1380,tumor_cells_type2_radius_1350_to_1380,tumor_cells_type3_radius_1350_to_1380,tumor_cells_type4_radius_1350_to_1380,tumor_cells_type5_dead_radius_1350_to_1380,average_oncoprotein_radius_1350_to_1380,average_oxygen_cancer_cells_radius_1350_to_1380,average_oxygen_all_cells_radius_1350_to_1380,average_glucose_cancer_cells_radius_1350_to_1380,average_glucose_all_cells_radius_1350_to_1380,average_radius_distance_living_cart_cells_radius_1350_to_1380,num_alive_cells_radius_1380_to_1410,num_dead_cells_radius_1380_to_1410,total_num_cells_radius_1380_to_1410,num_alive_tumor_cells_radius_1380_to_1410,total_num_tumor_cells_radius_1380_to_1410,num_alive_cart_cells_radius_1380_to_1410,num_dead_cart_cells_radius_1380_to_1410,tumor_cells_type1_radius_1380_to_1410,tumor_cells_type2_radius_1380_to_1410,tumor_cells_type3_radius_1380_to_1410,tumor_cells_type4_radius_1380_to_1410,tumor_cells_type5_dead_radius_1380_to_1410,average_oncoprotein_radius_1380_to_1410,average_oxygen_cancer_cells_radius_1380_to_1410,average_oxygen_all_cells_radius_1380_to_1410,average_glucose_cancer_cells_radius_1380_to_1410,average_glucose_all_cells_radius_1380_to_1410,average_radius_distance_living_cart_cells_radius_1380_to_1410,num_alive_cells_radius_1410_to_1440,num_dead_cells_radius_1410_to_1440,total_num_cells_radius_1410_to_1440,num_alive_tumor_cells_radius_1410_to_1440,total_num_tumor_cells_radius_1410_to_1440,num_alive_cart_cells_radius_1410_to_1440,num_dead_cart_cells_radius_1410_to_1440,tumor_cells_type1_radius_1410_to_1440,tumor_cells_type2_radius_1410_to_1440,tumor_cells_type3_radius_1410_to_1440,tumor_cells_type4_radius_1410_to_1440,tumor_cells_type5_dead_radius_1410_to_1440,average_oncoprotein_radius_1410_to_1440,average_oxygen_cancer_cells_radius_1410_to_1440,average_oxygen_all_cells_radius_1410_to_1440,average_glucose_cancer_cells_radius_1410_to_1440,average_glucose_all_cells_radius_1410_to_1440,average_radius_distance_living_cart_cells_radius_1410_to_1440,num_alive_cells_radius_1440_to_1470,num_dead_cells_radius_1440_to_1470,total_num_cells_radius_1440_to_1470,num_alive_tumor_cells_radius_1440_to_1470,total_num_tumor_cells_radius_1440_to_1470,num_alive_cart_cells_radius_1440_to_1470,num_dead_cart_cells_radius_1440_to_1470,tumor_cells_type1_radius_1440_to_1470,tumor_cells_type2_radius_1440_to_1470,tumor_cells_type3_radius_1440_to_1470,tumor_cells_type4_radius_1440_to_1470,tumor_cells_type5_dead_radius_1440_to_1470,average_oncoprotein_radius_1440_to_1470,average_oxygen_cancer_cells_radius_1440_to_1470,average_oxygen_all_cells_radius_1440_to_1470,average_glucose_cancer_cells_radius_1440_to_1470,average_glucose_all_cells_radius_1440_to_1470,average_radius_distance_living_cart_cells_radius_1440_to_1470,num_alive_cells_radius_1470_to_1500,num_dead_cells_radius_1470_to_1500,total_num_cells_radius_1470_to_1500,num_alive_tumor_cells_radius_1470_to_1500,total_num_tumor_cells_radius_1470_to_1500,num_alive_cart_cells_radius_1470_to_1500,num_dead_cart_cells_radius_1470_to_1500,tumor_cells_type1_radius_1470_to_1500,tumor_cells_type2_radius_1470_to_1500,tumor_cells_type3_radius_1470_to_1500,tumor_cells_type4_radius_1470_to_1500,tumor_cells_type5_dead_radius_1470_to_1500,average_oncoprotein_radius_1470_to_1500,average_oxygen_cancer_cells_radius_1470_to_1500,average_oxygen_all_cells_radius_1470_to_1500,average_glucose_cancer_cells_radius_1470_to_1500,average_glucose_all_cells_radius_1470_to_1500,average_radius_distance_living_cart_cells_radius_1470_to_1500,num_alive_cells_radius_1500_to_1530,num_dead_cells_radius_1500_to_1530,total_num_cells_radius_1500_to_1530,num_alive_tumor_cells_radius_1500_to_1530,total_num_tumor_cells_radius_1500_to_1530,num_alive_cart_cells_radius_1500_to_1530,num_dead_cart_cells_radius_1500_to_1530,tumor_cells_type1_radius_1500_to_1530,tumor_cells_type2_radius_1500_to_1530,tumor_cells_type3_radius_1500_to_1530,tumor_cells_type4_radius_1500_to_1530,tumor_cells_type5_dead_radius_1500_to_1530,average_oncoprotein_radius_1500_to_1530,average_oxygen_cancer_cells_radius_1500_to_1530,average_oxygen_all_cells_radius_1500_to_1530,average_glucose_cancer_cells_radius_1500_to_1530,average_glucose_all_cells_radius_1500_to_1530,average_radius_distance_living_cart_cells_radius_1500_to_1530,num_alive_cells_radius_1530_to_1560,num_dead_cells_radius_1530_to_1560,total_num_cells_radius_1530_to_1560,num_alive_tumor_cells_radius_1530_to_1560,total_num_tumor_cells_radius_1530_to_1560,num_alive_cart_cells_radius_1530_to_1560,num_dead_cart_cells_radius_1530_to_1560,tumor_cells_type1_radius_1530_to_1560,tumor_cells_type2_radius_1530_to_1560,tumor_cells_type3_radius_1530_to_1560,tumor_cells_type4_radius_1530_to_1560,tumor_cells_type5_dead_radius_1530_to_1560,average_oncoprotein_radius_1530_to_1560,average_oxygen_cancer_cells_radius_1530_to_1560,average_oxygen_all_cells_radius_1530_to_1560,average_glucose_cancer_cells_radius_1530_to_1560,average_glucose_all_cells_radius_1530_to_1560,average_radius_distance_living_cart_cells_radius_1530_to_1560,num_alive_cells_radius_1560_to_1590,num_dead_cells_radius_1560_to_1590,total_num_cells_radius_1560_to_1590,num_alive_tumor_cells_radius_1560_to_1590,total_num_tumor_cells_radius_1560_to_1590,num_alive_cart_cells_radius_1560_to_1590,num_dead_cart_cells_radius_1560_to_1590,tumor_cells_type1_radius_1560_to_1590,tumor_cells_type2_radius_1560_to_1590,tumor_cells_type3_radius_1560_to_1590,tumor_cells_type4_radius_1560_to_1590,tumor_cells_type5_dead_radius_1560_to_1590,average_oncoprotein_radius_1560_to_1590,average_oxygen_cancer_cells_radius_1560_to_1590,average_oxygen_all_cells_radius_1560_to_1590,average_glucose_cancer_cells_radius_1560_to_1590,average_glucose_all_cells_radius_1560_to_1590,average_radius_distance_living_cart_cells_radius_1560_to_1590,num_alive_cells_radius_1590_to_1620,num_dead_cells_radius_1590_to_1620,total_num_cells_radius_1590_to_1620,num_alive_tumor_cells_radius_1590_to_1620,total_num_tumor_cells_radius_1590_to_1620,num_alive_cart_cells_radius_1590_to_1620,num_dead_cart_cells_radius_1590_to_1620,tumor_cells_type1_radius_1590_to_1620,tumor_cells_type2_radius_1590_to_1620,tumor_cells_type3_radius_1590_to_1620,tumor_cells_type4_radius_1590_to_1620,tumor_cells_type5_dead_radius_1590_to_1620,average_oncoprotein_radius_1590_to_1620,average_oxygen_cancer_cells_radius_1590_to_1620,average_oxygen_all_cells_radius_1590_to_1620,average_glucose_cancer_cells_radius_1590_to_1620,average_glucose_all_cells_radius_1590_to_1620,average_radius_distance_living_cart_cells_radius_1590_to_1620,num_alive_cells_radius_1620_to_1650,num_dead_cells_radius_1620_to_1650,total_num_cells_radius_1620_to_1650,num_alive_tumor_cells_radius_1620_to_1650,total_num_tumor_cells_radius_1620_to_1650,num_alive_cart_cells_radius_1620_to_1650,num_dead_cart_cells_radius_1620_to_1650,tumor_cells_type1_radius_1620_to_1650,tumor_cells_type2_radius_1620_to_1650,tumor_cells_type3_radius_1620_to_1650,tumor_cells_type4_radius_1620_to_1650,tumor_cell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_1830_to_1860,total_num_tumor_cells_radius_1830_to_1860,num_alive_cart_cells_radius_1830_to_1860,num_dead_cart_cells_radius_1830_to_1860,tumor_cells_type1_radius_1830_to_1860,tumor_cells_type2_radius_1830_to_1860,tumor_cells_type3_radius_1830_to_1860,tumor_cells_type4_radius_1830_to_1860,tumor_cells_type5_dead_radius_1830_to_1860,average_oncoprotein_radius_1830_to_1860,average_oxygen_cancer_cells_radius_1830_to_1860,average_oxygen_all_cells_radius_1830_to_1860,average_glucose_cancer_cells_radius_1830_to_1860,average_glucose_all_cells_radius_1830_to_1860,average_radius_distance_living_cart_cells_radius_1830_to_1860,num_alive_cells_radius_1860_to_1890,num_dead_cells_radius_1860_to_1890,total_num_cells_radius_1860_to_1890,num_alive_tumor_cells_radius_1860_to_1890,total_num_tumor_cells_radius_1860_to_1890,num_alive_cart_cells_radius_1860_to_1890,num_dead_cart_cells_radius_1860_to_1890,tumor_cells_type1_radius_1860_to_1890,tumor_cells_type2_radius_1860_to_1890,tumor_cells_type3_radius_1860_to_1890,tumor_cells_type4_radius_1860_to_1890,tumor_cells_type5_dead_radius_1860_to_1890,average_oncoprotein_radius_1860_to_1890,average_oxygen_cancer_cells_radius_1860_to_1890,average_oxygen_all_cells_radius_1860_to_1890,average_glucose_cancer_cells_radius_1860_to_1890,average_glucose_all_cells_radius_1860_to_1890,average_radius_distance_living_cart_cells_radius_1860_to_1890,num_alive_cells_radius_1890_to_1920,num_dead_cells_radius_1890_to_1920,total_num_cells_radius_1890_to_1920,num_alive_tumor_cells_radius_1890_to_1920,total_num_tumor_cells_radius_1890_to_1920,num_alive_cart_cells_radius_1890_to_1920,num_dead_cart_cells_radius_1890_to_1920,tumor_cells_type1_radius_1890_to_1920,tumor_cells_type2_radius_1890_to_1920,tumor_cells_type3_radius_1890_to_1920,tumor_cells_type4_radius_1890_to_1920,tumor_cells_type5_dead_radius_1890_to_1920,average_oncoprotein_radius_1890_to_1920,average_oxygen_cancer_cells_radius_1890_to_1920,average_oxygen_all_cells_radius_1890_to_1920,average_glucose_cancer_cells_radius_1890_to_1920,average_glucose_all_cells_radius_1890_to_1920,average_radius_distance_living_cart_cells_radius_1890_to_1920,num_alive_cells_radius_1920_to_1950,num_dead_cells_radius_1920_to_1950,total_num_cells_radius_1920_to_1950,num_alive_tumor_cells_radius_1920_to_1950,total_num_tumor_cells_radius_1920_to_1950,num_alive_cart_cells_radius_1920_to_1950,num_dead_cart_cells_radius_1920_to_1950,tumor_cells_type1_radius_1920_to_1950,tumor_cells_type2_radius_1920_to_1950,tumor_cells_type3_radius_1920_to_1950,tumor_cells_type4_radius_1920_to_1950,tumor_cells_type5_dead_radius_1920_to_1950,average_oncoprotein_radius_1920_to_1950,average_oxygen_cancer_cells_radius_1920_to_1950,average_oxygen_all_cells_radius_1920_to_1950,average_glucose_cancer_cells_radius_1920_to_1950,average_glucose_all_cells_radius_1920_to_1950,average_radius_distance_living_cart_cells_radius_1920_to_1950,num_alive_cells_radius_1950_to_1980,num_dead_cells_radius_1950_to_1980,total_num_cells_radius_1950_to_1980,num_alive_tumor_cells_radius_1950_to_1980,total_num_tumor_cells_radius_1950_to_1980,num_alive_cart_cells_radius_1950_to_1980,num_dead_cart_cells_radius_1950_to_1980,tumor_cells_type1_radius_1950_to_1980,tumor_cells_type2_radius_1950_to_1980,tumor_cells_type3_radius_1950_to_1980,tumor_cells_type4_radius_1950_to_1980,tumor_cells_type5_dead_radius_1950_to_1980,average_oncoprotein_radius_1950_to_1980,average_oxygen_cancer_cells_radius_1950_to_1980,average_oxygen_all_cells_radius_1950_to_1980,average_glucose_cancer_cells_radius_1950_to_1980,average_glucose_all_cells_radius_1950_to_1980,average_radius_distance_living_cart_cells_radius_1950_to_1980,num_alive_cells_radius_1980_to_2010,num_dead_cells_radius_1980_to_2010,total_num_cells_radius_1980_to_2010,num_alive_tumor_cells_radius_1980_to_2010,total_num_tumor_cells_radius_1980_to_2010,num_alive_cart_cells_radius_1980_to_2010,num_dead_cart_cells_radius_1980_to_2010,tumor_cells_type1_radius_1980_to_2010,tumor_cells_type2_radius_1980_to_2010,tumor_cells_type3_radius_1980_to_2010,tumor_cells_type4_radius_1980_to_2010,tumor_cells_type5_dead_radius_1980_to_2010,average_oncoprotein_radius_1980_to_2010,average_oxygen_cancer_cells_radius_1980_to_2010,average_oxygen_all_cells_radius_1980_to_2010,average_glucose_cancer_cells_radius_1980_to_2010,average_glucose_all_cells_radius_1980_to_2010,average_radius_distance_living_cart_cells_radius_1980_to_2010,num_alive_cells_radius_2010_to_2040,num_dead_cells_radius_2010_to_2040,total_num_cells_radius_2010_to_2040,num_alive_tumor_cells_radius_2010_to_2040,total_num_tumor_cells_radius_2010_to_2040,num_alive_cart_cells_radius_2010_to_2040,num_dead_cart_cells_radius_2010_to_2040,tumor_cells_type1_radius_2010_to_2040,tumor_cells_type2_radius_2010_to_2040,tumor_cells_type3_radius_2010_to_2040,tumor_cells_type4_radius_2010_to_2040,tumor_cells_type5_dead_radius_2010_to_2040,average_oncoprotein_radius_2010_to_2040,average_oxygen_cancer_cells_radius_2010_to_2040,average_oxygen_all_cells_radius_2010_t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diff --git a/draft/execution_seed_0/final_data.csv b/draft/execution_seed_0/final_data.csv
deleted file mode 100644
index a5cf824..0000000
--- a/draft/execution_seed_0/final_data.csv
+++ /dev/null
@@ -1,74 +0,0 @@
-total_days,total_hours,total_minutes,tumor_radius,num_cells,num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells,average_radius_distance_living_cart_cells
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-0.666667,16,960,2985.52,588001,28001,0,27723,0,0,278,553556,6444,1,23.1301,70.956,13.9871,14.0079,2952.37
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-0.833333,20,1200,2993.05,588005,28005,0,27667,0,0,338,551921,8079,1,23.1423,69.4832,12.1065,12.1307,2922.51
-0.875,21,1260,2993.74,588005,28005,0,27649,0,0,356,551501,8499,1,23.1612,69.1739,11.6775,11.7021,2915.58
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-1,24,1440,2997.33,588011,28011,0,27605,0,0,406,550265,9735,1,23.2206,68.3033,10.4798,10.505,2896
-1.04167,25,1500,3000.09,588013,28013,0,27588,0,0,425,549831,10169,1,23.2438,68.0456,10.1086,10.1339,2889.84
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-1.25,30,1800,3000.19,588039,28039,0,27514,0,0,525,547642,12358,1,23.4192,66.9171,8.44164,8.46618,2861.33
-1.29167,31,1860,3005.07,588050,28050,0,27502,0,0,548,547173,12827,1,23.4642,66.7233,8.143,8.16724,2856.02
-1.33333,32,1920,3005.75,588066,28066,0,27498,0,0,568,546745,13255,1,23.5094,66.5231,7.85499,7.87889,2850.83
-1.375,33,1980,3010.77,588078,28078,0,27488,0,0,590,546264,13736,1,23.553,66.3472,7.57721,7.60074,2845.78
-1.41667,34,2040,3005.73,588091,28091,0,27481,0,0,610,545795,14205,1,23.5925,66.1664,7.30932,7.33246,2840.82
-1.45833,35,2100,3001.74,588112,28112,0,27485,0,0,627,545355,14645,1,23.6361,65.9875,7.05095,7.07369,2836
-1.5,36,2160,3001.66,588130,28130,0,27479,0,0,651,544904,15096,1,23.6822,65.8179,6.80177,6.82409,2831.27
-1.54167,37,2220,2998.38,588159,28159,0,27496,0,0,663,544470,15530,1,23.7228,65.6572,6.56144,6.58332,2826.68
-1.58333,38,2280,2995.73,588195,28195,0,27517,0,0,678,543988,16012,1,23.7718,65.5054,6.32963,6.35108,2822.16
-1.625,39,2340,2997.36,588239,28239,0,27536,0,0,703,543529,16471,1,23.8378,65.3547,6.10606,6.12705,2817.72
-1.66667,40,2400,2999.84,588276,28276,0,27552,0,0,724,543087,16913,1,23.8959,65.2119,5.89043,5.91094,2813.39
-1.70833,41,2460,3003.3,588336,28336,0,27593,0,0,743,542610,17390,1,23.9633,65.0739,5.68247,5.7025,2809.17
-1.75,42,2520,3004.63,588395,28395,0,27637,0,0,758,542144,17856,1,24.0347,64.9382,5.4819,5.50144,2805.05
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-1.83333,44,2640,3005.6,588509,28509,0,27717,0,0,792,541238,18762,1,24.1503,64.6813,5.10183,5.12041,2796.97
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-1.95833,47,2820,3013.86,588807,28807,0,27920,0,0,887,539803,20197,1,24.3816,64.3171,4.58084,4.59791,2785.57
-2,48,2880,3015.75,588893,28893,0,27950,0,0,943,539347,20653,1,24.4581,64.2086,4.41935,4.43592,2781.93
-2.04167,49,2940,3020.34,589016,29016,0,28012,0,0,1004,538894,21106,1,24.5482,64.1005,4.26357,4.27966,2778.39
-2.08333,50,3000,3022.28,589164,29164,0,28079,0,0,1085,538421,21579,1,24.6703,64.0059,4.11333,4.12894,2774.95
-2.125,51,3060,3016.68,589326,29326,0,28187,0,0,1139,537928,22072,1,24.7949,63.9116,3.9684,3.98353,2771.56
-2.16667,52,3120,3013.94,589514,29514,0,28285,0,0,1229,537432,22568,1,24.9257,63.8311,3.8286,3.84324,2768.24
-2.20833,53,3180,3020.88,589717,29717,0,28392,0,0,1325,536900,23100,1,25.0526,63.7475,3.69373,3.70791,2765.03
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-2.29167,55,3300,3018.02,590139,30139,0,28590,0,0,1549,535959,24041,1,25.3432,63.5953,3.43813,3.45141,2758.75
-2.33333,56,3360,3021.04,590353,30353,0,28676,0,0,1677,535499,24501,1,25.4808,63.5269,3.31705,3.3299,2755.74
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diff --git a/draft/experimentation.py b/draft/experimentation.py
deleted file mode 100644
index 2be26a3..0000000
--- a/draft/experimentation.py
+++ /dev/null
@@ -1,183 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file contains the Bayesian optimization workflow used to calibrate
-the model parameters, developed under Google Summer of Code (GSoC)
-for the compiler-research.org organization.
-"""
-
-import json
-import shutil
-import subprocess
-from pathlib import Path
-
-# --- Adjust these paths/values to your environment ---
-# Directory for the visualization configuration file bdm.toml
-BDM_TOML_PATH = Path("./bdm.toml")
-BASE_DIR = Path(__file__).resolve().parent.parent
-# Directory for the parameters file params.json
-PARAMS_PATH = BASE_DIR / "params.json"
-
-BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
-NUMBER_EXECUTIONS = 10
-
-SIM_DIR = BASE_DIR / "output"        # folder where the ABM writes its results
-DRAFT_DIR = BASE_DIR / "draft"       # base destination folder
-
-
-def run_ABM(seed):
-
-    config = {
-  "seed": seed,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 100,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": False,
-  "diffuse_glucose_on_z_axis": False,
-  "output_performance_statistics": False,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": True,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 7.1,
-  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 5e-06,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": True,
-  "add_glucose": True,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "treatment": {
-    "0": 560000     #2800 #560000 changed
-  },
-  "default_oxygen_consumption_cart": 16, #3200 for 2800 cells#16
-  "default_glucose_consumption_cart": 0.007,#1.4 for 2800 cells#0.007 changed
-  "adhesion_rate_cart": 8.5e-06,#0.0017 for 2800 cells,#8.5e-06 changed
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": 0,
-  "std_migration_bias_cart": 0.135,
-  "persistence_time_cart": 0,
-  "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 1e-05
-}
-
-    # Save the config parameters for this run to the params.json file
-    with open(PARAMS_PATH, "w") as f:
-        json.dump(config, f, indent=2)
-
-    # Load the BioDynaMo environment and run the ABM simulation using the BioDynaMo executable
-    subprocess.run(
-        ["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True
-    )
-
-
-def copy_output_to_draft(seed):
-    """Copy the contents of SIM_DIR to draft/execution_seed_{seed}."""
-    dest_dir = DRAFT_DIR / f"execution_seed_{seed}"
-
-    if not SIM_DIR.exists():
-        raise FileNotFoundError(f"Results folder not found: {SIM_DIR}")
-
-    if dest_dir.exists():
-        shutil.rmtree(dest_dir)  # avoid mixing results from previous runs
-
-    shutil.copytree(SIM_DIR, dest_dir)
-    print(f"[seed={seed}] Results copied to: {dest_dir}")
-
-
-def run_multiple_seeds(N):
-    """Run the ABM with seeds 0..N-1 and save each result separately."""
-    DRAFT_DIR.mkdir(parents=True, exist_ok=True)
-
-    # for seed in range(N):
-    for seed in range(N):
-        print(f"--- Running ABM with seed={seed} ---")
-        run_ABM(seed)
-        copy_output_to_draft(seed)
-
-    print(f"Done: {N} runs completed (seeds 0 to {N - 1}).")
-
-# Function to set the export value in the bdm.toml file
-def set_export_value(path: Path, value: bool):
-    lines = path.read_text().splitlines()
-
-    new_lines = []
-    for line in lines:
-        if line.strip().startswith("export"):
-            new_lines.append(f"export = {str(value).lower()}")
-        else:
-            new_lines.append(line)
-
-    path.write_text("\n".join(new_lines))
-
-if __name__ == "__main__":
-
-    # Save the original content of the bdm.toml and params.json files to restore them later
-    original_bdm = BDM_TOML_PATH.read_text()
-    original_params = PARAMS_PATH.read_text()
-
-    try:
-        # Change the export value in the bdm.toml file to False to disable visualization
-        set_export_value(BDM_TOML_PATH, False)
-
-        run_multiple_seeds(N=NUMBER_EXECUTIONS)
-
-    finally:
-        # Restore the original content of the bdm.toml and params.json files always, even if an error occurs during the optimization process
-        BDM_TOML_PATH.write_text(original_bdm)
-        PARAMS_PATH.write_text(original_params)
\ No newline at end of file
diff --git a/draft/generatecsv.py b/draft/generatecsv.py
deleted file mode 100644
index 4e49d77..0000000
--- a/draft/generatecsv.py
+++ /dev/null
@@ -1,47 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file contains the Bayesian optimization workflow used to calibrate
-the model parameters, developed under Google Summer of Code (GSoC)
-for the compiler-research.org organization.
-"""
-
-import json
-import logging
-import subprocess
-from pathlib import Path
-
-import numpy as np
-import optuna
-import pandas as pd
-# Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 200
-SEED = 42
-# BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
-BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
-EXPERIMENT_DIR = Path("abm_calibration") / f"experiment_{EXPERIMENT_ID}"
-
-# Create an Optuna study to optimize the parameters of the ABM
-study = optuna.create_study(
-    study_name="abm_calibration",
-    storage=f"sqlite:///{EXPERIMENT_DIR / 'abm_optuna.db'}",
-    load_if_exists=True,
-    direction="minimize",
-    sampler=optuna.samplers.TPESampler(seed=SEED),
-)
-
-df = study.trials_dataframe()
-df.to_csv(EXPERIMENT_DIR / "optuna_results.csv", index=False, mode="w")
\ No newline at end of file
diff --git a/draft/tumor_cells_type5_dead_radius_vs_radius.png b/draft/tumor_cells_type5_dead_radius_vs_radius.png
deleted file mode 100644
index daf2127a2e12ad22f17a835c5b5031f0b528a4c5..0000000000000000000000000000000000000000
GIT binary patch
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z)W3zE?<WQ6)h#@(T|s)J-VR!_cY5j|L~Tm`{u5d0Mv#9fdEbU0$=H3gaT4DEY<@OK
zstL*3WJsn+UX4U<L<5V*>BAy5y$sk2b8gUGfI5z7qUpljf*a69a)BMVi}W`EHU03!
zXMtOH?j(|~C7_8Q^+PT)i5rH1)LlX~3=Zk8V_sJ<-ahbn--p5{*e_b<-%<pss{^pD
zw<1+w>{KnO{$v}Pe{s?iq^mF$MH}m?1(`vl`<TJh5b*ULQd|ky=~fXD5kN1}mX>hA
z1j2UcliCyT3Zy5Oq|NJHXlsJ}aV!~q=nh^`FE9j3F*v4p$XSiSVh)dtkO>r{h~I1>
zKP^q;l0B0G<{*yz90CDaNJt3$EQx~(@iy_TxA7dt-BazTZYJ_Rz&wG7@COd>vZ#Q7
zjo2q$U%!6Mnqp$mxZUC>(A!7q3ZyiURfO^Yr%C{urF6hq*%|fS{b1i3aC!&apTJC5
zJR<mkA^6kRuc^fNf&eEx9}q$)$Z~h=*LAXI1W6aIh`;H0<zXPgziiw30}w*LK~z+&
z9{)GC7Ln1y<9b2*>PWyu!`g)w6AWgy4x8y!0SsQTbSr?b`~UlIGoBU(QHAE>O`~{J
O2I_wGeQA5lF8wcY!M9WZ

diff --git a/params.json b/params.json
index eb4d56f..0b90311 100644
--- a/params.json
+++ b/params.json
@@ -1,75 +1,10 @@
 {
-  "seed": 1,
-  "bound_space_toplogy": "closed",
-  "num_radius_intervals": 100,
-  "lateral_oxygen_production_min_z": -300.0,
-  "lateral_oxygen_production_max_z": 300.0,
-  "min_initial_z_substances": -300.0,
-  "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": false,
-  "diffuse_glucose_on_z_axis": false,
-  "output_performance_statistics": false,
-  "total_minutes_to_simulate": 4320,
-  "output_csv_interval": 600,
-  "bounded_space_length": 6500.0,
-  "tumor_shape": "cylinder",
-  "output_information_dependent_on_radius": true,
-  "cylindrical_tumor_radius": 3000.0,
-  "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-  "cylindrical_tumor_height": 100.0,
-  "initial_number_of_cylindrical_tumor_cells": 28000,
-  "default_volume_new_tumor_cell": 1468.0,
-  "std_volume_new_tumor_cell": 166,
-  "min_volume_new_tumor_cell": 1136.0,
-  "max_volume_new_tumor_cell": 1800.0,
-  "default_volume_new_cart_cell": 269.0,
-  "std_volume_new_cart_cell": 33.625,
-  "min_volume_new_cart_cell": 201.75,
-  "max_volume_new_cart_cell": 336.25,
-  "oncoprotein_mean": 1.0,
-  "oncoprotein_standard_deviation": 0.0,
-  "initial_oxygen_level": 0.0,
-  "oxygen_reference_level": 165.0,
-  "default_oxygen_consumption_tumor_cell": 77.47,
-  "default_glucose_consumption_tumor_cell": 0.045,
-  "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
-  "time_apoptosis": 6000.0,
-  "time_lysis": 6000.0,
-  "average_time_transformation_random_rate": 72,
-  "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
-  "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 7.1,
-  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
-  "reduction_consumption_dead_cells": 0.0,
-  "basal_death_probability_cancer_cells": 5e-06,
-  "bounded_space_min_allowed_z": -50.0,
-  "bounded_space_max_allowed_z": 50.0,
-  "bounded_space_max_allowed_radius": 3250.0,
-  "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-  "add_immunostimulatory_factor": true,
-  "add_glucose": true,
-  "diffusion_coefficient_glucose": 7800,
-  "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
-  "treatment": {
-    "0": 560000
-  },
-  "default_oxygen_consumption_cart": 16,
-  "default_glucose_consumption_cart": 0.007,
-  "adhesion_rate_cart": 8.5e-06,
-  "glucose_saturation_for_tumor_cell_growth": 24.98,
-  "glucose_limit_for_tumor_cell_growth": 0,
-  "glucose_limit_for_death": 5,
-  "glucose_limit_for_death_maximum": 0,
-  "maximum_death_lack_of_glucose_rate": 0.000175,
-  "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-  "avg_migration_bias_cart": 0,
-  "std_migration_bias_cart": 0.135,
-  "persistence_time_cart": 0,
-  "diffusion_coefficient_immunostimulatory_factor": 100000,
-  "decay_constant_immunostimulatory_factor": 1e-05
-}
\ No newline at end of file
+    "seed": 42,
+    "output_performance_statistics": true,
+    "total_minutes_to_simulate": 43200,
+    "initial_tumor_radius": 150.0,
+    "treatment": {
+      "0": 3957,
+      "8": 3957
+    }
+  }
\ No newline at end of file
diff --git a/draft/09_09_2026_config_cart_pushes_from_edges.json b/params4CylindricalModel.json
similarity index 90%
rename from draft/09_09_2026_config_cart_pushes_from_edges.json
rename to params4CylindricalModel.json
index 0dbdf29..c86b575 100644
--- a/draft/09_09_2026_config_cart_pushes_from_edges.json
+++ b/params4CylindricalModel.json
@@ -1,12 +1,12 @@
 {
-  "seed": 3,
+  "seed": 42,
   "bound_space_toplogy": "closed",
   "num_radius_intervals": 100,
-  "lateral_oxygen_production_min_z": -6500.0,
-  "lateral_oxygen_production_max_z": 6500.0,
+  "lateral_oxygen_production_min_z": -300.0,
+  "lateral_oxygen_production_max_z": 300.0,
   "min_initial_z_substances": -300.0,
   "max_initial_z_substances": 300.0,
-  "diffuse_oxygen_on_z_axis": true,
+  "diffuse_oxygen_on_z_axis": false,
   "diffuse_glucose_on_z_axis": false,
   "output_performance_statistics": false,
   "total_minutes_to_simulate": 4320,
@@ -42,8 +42,8 @@
   "oxygen_saturation_for_proliferation": 13.74,
   "oxygen_limit_for_proliferation": 5.9,
   "oxygen_limit_for_necrosis_maximum": 0.0,
-  "oxygen_limit_for_necrosis": 45.0,
-  "maximum_necrosis_lack_of_oxygen_rate": 2.16e-05,
+  "oxygen_limit_for_necrosis": 7.1,
+  "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
   "reduction_consumption_dead_cells": 0.0,
   "basal_death_probability_cancer_cells": 5e-06,
   "bounded_space_min_allowed_z": -50.0,
@@ -58,7 +58,7 @@
   "treatment": {
     "0": 560000
   },
-  "default_oxygen_consumption_cart": 0,
+  "default_oxygen_consumption_cart": 16,
   "default_glucose_consumption_cart": 0.007,
   "adhesion_rate_cart": 8.5e-06,
   "glucose_saturation_for_tumor_cell_growth": 24.98,
diff --git a/probability_necrosis_debug.csv b/probability_necrosis_debug.csv
deleted file mode 100644
index dce8a6e..0000000
--- a/probability_necrosis_debug.csv
+++ /dev/null
@@ -1,63 +0,0 @@
-step,x,y,z,oxygen_level,glucose_level,multiplier,probability_necrosis,enter_necrosis
-600,-121.036,-36.7978,1.10769,5.22227,24.1259,0.617458,0.000114573,0
-600,-88.3086,-77.0306,-35.5055,5.22312,24.1277,0.617396,0.000114562,0
-600,-90.8392,-30.207,-43.541,5.22312,24.1277,0.617396,0.000114562,0
-600,-25.7218,-102.315,-13.0007,5.22312,24.1277,0.617396,0.000114562,0
-600,-65.9295,-38.8751,-11.0868,5.22312,24.1277,0.617396,0.000114562,0
-600,-96.8559,-62.4807,-5.7026,5.22312,24.1277,0.617396,0.000114562,0
-600,-37.5689,-124.394,49.7263,5.22227,24.1259,0.617458,0.000114573,0
-600,-111.065,-58.4759,41.1203,5.22227,24.1259,0.617458,0.000114573,0
-600,-85.4194,-89.4007,18.72,5.22227,24.1259,0.617458,0.000114573,0
-600,-91.4503,-93.3932,43.774,5.22227,24.1259,0.617458,0.000114573,0
-600,12.0291,-119.039,9.62262,5.21768,24.1252,0.617794,0.000114635,0
-600,89.3381,-117.569,8.75646,5.21768,24.1252,0.617794,0.000114635,0
-600,9.08037,-38.4007,-30.3589,5.26236,24.13,0.614521,0.000114028,0
-600,22.3059,-38.5649,-40.3265,5.26236,24.13,0.614521,0.000114028,0
-600,-9.95036,-100.832,-21.0813,5.22312,24.1277,0.617396,0.000114562,0
-600,29.9989,-81.8214,-2.83865,5.26236,24.13,0.614521,0.000114028,0
-600,53.3689,-84.3322,13.5902,5.21768,24.1252,0.617794,0.000114635,0
-600,89.5981,-78.9929,-17.446,5.26236,24.13,0.614521,0.000114028,0
-600,37.4186,-112.137,34.9766,5.21768,24.1252,0.617794,0.000114635,0
-600,-139.119,-6.63732,15.5719,5.31864,24.1262,0.610399,0.000113263,0
-600,-139.113,31.7402,-5.79218,5.32753,24.1268,0.609747,0.000113142,0
-600,-71.4549,55.8045,-35.4438,5.25684,24.1292,0.614926,0.000114103,0
-600,-66.3992,-25.685,-22.5736,5.22312,24.1277,0.617396,0.000114562,0
-600,-80.1923,-6.44179,-22.9965,5.22312,24.1277,0.617396,0.000114562,0
-600,-59.4579,-13.207,-10.958,5.22312,24.1277,0.617396,0.000114562,0
-600,-30.9434,-11.0339,-3.63889,5.22312,24.1277,0.617396,0.000114562,0
-600,-91.0153,32.9839,1.31024,5.18502,24.1236,0.620187,0.000115079,0
-600,-51.875,24.4643,-9.22567,5.25684,24.1292,0.614926,0.000114103,0
-600,-46.4105,32.3024,3.52247,5.18502,24.1236,0.620187,0.000115079,0
-600,-130.746,64.2774,5.09689,5.32656,24.1259,0.609818,0.000113155,0
-600,-57.6991,105.364,-48.5081,5.25684,24.1292,0.614926,0.000114103,0
-600,-107.398,73.3095,-26.5997,5.25684,24.1292,0.614926,0.000114103,0
-600,-128.125,3.24995,37.9741,5.18502,24.1236,0.620187,0.000115079,0
-600,-149.317,6.90122,41.1044,5.32656,24.1259,0.609818,0.000113155,0
-600,-82.524,-20.6775,46.7078,5.22227,24.1259,0.617458,0.000114573,0
-600,-44.6935,18.4681,16.4273,5.18502,24.1236,0.620187,0.000115079,0
-600,-60.8414,40.5727,45.1873,5.18502,24.1236,0.620187,0.000115079,0
-600,-116.172,93.4707,18.2698,5.18502,24.1236,0.620187,0.000115079,0
-600,-53.2476,70.9582,31.5231,5.18502,24.1236,0.620187,0.000115079,0
-600,33.1382,-11.7362,-43.9508,5.26236,24.13,0.614521,0.000114028,0
-600,50.087,-15.8146,11.2742,5.21768,24.1252,0.617794,0.000114635,0
-600,82.0016,-6.95932,-41.0021,5.26236,24.13,0.614521,0.000114028,0
-600,89.4249,3.32231,-43.9913,5.2116,24.1275,0.61824,0.000114718,0
-600,120.657,31.6992,-42.914,5.2116,24.1275,0.61824,0.000114718,0
-600,128.113,0.0317006,16.6201,5.14533,24.1208,0.623094,0.000115619,0
-600,117.185,5.15474,11.4483,5.14533,24.1208,0.623094,0.000115619,0
-600,99.8019,43.472,-16.4377,5.2116,24.1275,0.61824,0.000114718,0
-600,99.2219,31.4354,-1.26401,5.2116,24.1275,0.61824,0.000114718,0
-600,85.4225,42.5821,6.61558,5.14533,24.1208,0.623094,0.000115619,0
-600,97.862,40.9525,11.2612,5.14533,24.1208,0.623094,0.000115619,0
-600,113.438,48.9913,9.55568,5.14533,24.1208,0.623094,0.000115619,0
-600,21.3479,106.965,-47.3004,5.2116,24.1275,0.61824,0.000114718,0
-600,51.84,82.6387,-16.022,5.2116,24.1275,0.61824,0.000114718,0
-600,122.22,83.1794,-39.4914,5.2116,24.1275,0.61824,0.000114718,0
-600,107.239,99.1202,-18.1588,5.2116,24.1275,0.61824,0.000114718,0
-600,111.177,81.2558,-12.9535,5.2116,24.1275,0.61824,0.000114718,0
-600,75.8255,120.838,-4.6006,5.2116,24.1275,0.61824,0.000114718,0
-600,18.7011,-5.25789,39.4802,5.21768,24.1252,0.617794,0.000114635,0
-600,25.9222,116.709,25.9288,5.14533,24.1208,0.623094,0.000115619,0
-600,39.0303,120.715,28.9143,5.14533,24.1208,0.623094,0.000115619,0
-600,87.2555,79.1057,32.8955,5.14533,24.1208,0.623094,0.000115619,0
-600,72.7347,94.3806,26.3026,5.14533,24.1208,0.623094,0.000115619,0
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 68a773e..b9e39e4 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -39,10 +39,6 @@
 #include <cstdint>
 #include <stdexcept>
 #include <string>
-// //Debug
-// #include "core/scheduler.h"
-// #include <fstream>
-// //End Debug
 
 namespace bdm {
 
@@ -731,28 +727,6 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
   const real_t probability_necrosis = sparams->dt_cycle * maximum_necrosis_rate_oxygen_multiplier;
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
 
-//   //Debug
-//   {
-//     const Real3& debug_pos = cell->GetPosition();
-//     if (debug_pos[0] * debug_pos[0] + debug_pos[1] * debug_pos[1] < 150.0 * 150.0) {
-// #pragma omp critical(debug_probability_necrosis_csv)
-//       {
-//         static std::ofstream debug_csv = [] {
-//           std::ofstream file("probability_necrosis_debug.csv");
-//           file << "step,x,y,z,oxygen_level,glucose_level,multiplier,"
-//                   "probability_necrosis,enter_necrosis\n";
-//           return file;
-//         }();
-//         debug_csv << sim->GetScheduler()->GetSimulatedSteps() << ','
-//                   << debug_pos[0] << ',' << debug_pos[1] << ',' << debug_pos[2]
-//                   << ',' << oxygen_level << ',' << glucose_level << ','
-//                   << multiplier << ',' << probability_necrosis << ','
-//                   << static_cast<int>(enter_necrosis) << '\n';
-//       }
-//     }
-//   }
-//   //End Debug
-
   // If the random number is less than the probability, enter necrosis
   if (enter_necrosis) {
     // If oxygen is too low, enter necrosis

From f8645ccb6f4d7024f61027722209dac44fa1d290 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Wed, 30 Sep 2026 12:16:52 +0200
Subject: [PATCH 44/54] clang format and clang tidy

---
 params.json                                   |  18 +-
 params4CylindricalModel.json                  |   1 -
 src/agents/cart_cell.cc                       | 146 ++++----
 src/agents/cart_cell.h                        |  14 +-
 src/agents/tumor_cell.cc                      | 300 ++++++++-------
 src/agents/tumor_cell.h                       |  33 +-
 src/cart_tumor.cc                             | 102 ++---
 src/cart_tumor.h                              |   2 +-
 .../cylinder_wall_boundary_condition.cc       |   5 +-
 .../cylinder_wall_boundary_condition.h        |   8 +-
 src/diffusion/diffusion_thomas_algorithm.cc   |   9 +-
 src/params/hyperparams.cc                     | 213 +++++++----
 src/params/hyperparams.h                      | 128 ++++---
 src/utils/utils_aux.cc                        | 350 ++++++++++--------
 src/utils/utils_aux.h                         |  24 +-
 15 files changed, 797 insertions(+), 556 deletions(-)

diff --git a/params.json b/params.json
index 0b90311..562de49 100644
--- a/params.json
+++ b/params.json
@@ -1,10 +1,10 @@
 {
-    "seed": 42,
-    "output_performance_statistics": true,
-    "total_minutes_to_simulate": 43200,
-    "initial_tumor_radius": 150.0,
-    "treatment": {
-      "0": 3957,
-      "8": 3957
-    }
-  }
\ No newline at end of file
+  "seed": 42,
+  "output_performance_statistics": true,
+  "total_minutes_to_simulate": 43200,
+  "initial_tumor_radius": 150.0,
+  "treatment": {
+    "0": 3957,
+    "8": 3957
+  }
+}
\ No newline at end of file
diff --git a/params4CylindricalModel.json b/params4CylindricalModel.json
index c86b575..66a3455 100644
--- a/params4CylindricalModel.json
+++ b/params4CylindricalModel.json
@@ -54,7 +54,6 @@
   "add_glucose": true,
   "diffusion_coefficient_glucose": 7800,
   "initial_glucose_level": 24.98,
-  "max_radius_glucose_initialization": 3100.0,
   "treatment": {
     "0": 560000
   },
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 7179551..70b9756 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -49,35 +49,37 @@ CarTCell::CarTCell(const Real3& position) {
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
   // Set default volume
-  real_t total_volume=SamplePositiveGaussian(sparams->default_volume_new_cart_cell,sparams->std_volume_new_cart_cell);
+  real_t total_volume = SamplePositiveGaussian(
+      sparams->default_volume_new_cart_cell, sparams->std_volume_new_cart_cell);
   // Clip the value between the minimum and maximum allowed values
   if (total_volume < sparams->min_volume_new_cart_cell) {
-    total_volume=sparams->min_volume_new_cart_cell;
+    total_volume = sparams->min_volume_new_cart_cell;
   } else if (total_volume > sparams->max_volume_new_cart_cell) {
-    total_volume=sparams->max_volume_new_cart_cell;
+    total_volume = sparams->max_volume_new_cart_cell;
   }
   SetVolume(total_volume);
   // Set default fluid fraction
   SetFluidFraction(sparams->default_fraction_fluid_cart_cell);
   // Set default nuclear volume
-  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_cart_cell*total_volume);
+  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_cart_cell *
+                   total_volume);
 
   // Set Random Migration Bias
-  migration_bias_ = SamplePositiveGaussian(
-      sparams->avg_migration_bias_cart, sparams->std_migration_bias_cart);
-  //Clip the value <= 1
+  migration_bias_ = SamplePositiveGaussian(sparams->avg_migration_bias_cart,
+                                           sparams->std_migration_bias_cart);
+  // Clip the value <= 1
   if (migration_bias_ > 1.0) {
     migration_bias_ = 1.0;
   }
 
   const ResourceManager& rm = *sim->GetResourceManager();
   oxygen_dgrid_ = rm.GetDiffusionGrid("oxygen");
-  immunostimulatory_factor_dgrid_ = sparams->add_immunostimulatory_factor
-        ? rm.GetDiffusionGrid("immunostimulatory_factor")
-        : nullptr;
-  glucose_dgrid_ = sparams->add_glucose
-        ? rm.GetDiffusionGrid("glucose")
-        : nullptr;
+  immunostimulatory_factor_dgrid_ =
+      sparams->add_immunostimulatory_factor
+          ? rm.GetDiffusionGrid("immunostimulatory_factor")
+          : nullptr;
+  glucose_dgrid_ =
+      sparams->add_glucose ? rm.GetDiffusionGrid("glucose") : nullptr;
 
   SetCurrentLiveTime((sparams->dt_cycle + 1) *
                      sparams->average_maximum_time_until_apoptosis_cart);
@@ -203,23 +205,24 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
     if (rng->Uniform(0.0, 1.0) < sparams->motility_probability_cart) {
       // random direction as unitary vector
       const Real3 random_direction = GenerateRandomDirection();
-      //initialize motility with random direction
+      // initialize motility with random direction
       motility = random_direction;
 
       if (IsImmunostimulatoryFactorDefined()) {
-        // if there is an immunostimulatory factor gradient set, the CAR-T cell will moves partially towards it, otherwise it will move randomly
+        // if there is an immunostimulatory factor gradient set, the CAR-T cell
+        // will moves partially towards it, otherwise it will move randomly
         Real3 direction_to_immunostimulatory_factor;
-        // returns normalized gradient towards the immunostimulatory factor source
+        // returns normalized gradient towards the immunostimulatory factor
+        // source
         immunostimulatory_factor_dgrid_->GetGradient(
             current_position, &direction_to_immunostimulatory_factor, true);
         // motility = bias * direction_to_immunostimulatory_factor +
         // (1-bias)*random_direction
         const real_t bias = GetMigrationBias();
-        motility =
-            bias * direction_to_immunostimulatory_factor +
-            (1-bias) * random_direction;
+        motility = bias * direction_to_immunostimulatory_factor +
+                   (1 - bias) * random_direction;
       }
-      
+
       const real_t motility_norm_squared = motility[0] * motility[0] +
                                            motility[1] * motility[1] +
                                            motility[2] * motility[2];
@@ -230,7 +233,6 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
       // Scale by migration speed and add to the velocity
       translation_velocity_on_point_mass +=
           motility * sparams->migration_speed_cart;
-
     }
   }
   //--------------------------------------------
@@ -314,7 +316,8 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
-   // Clamp the movement if it surpasses the more restricted specified boundaries.
+  // Clamp the movement if it surpasses the more restricted specified
+  // boundaries.
   const double min_z = sparams->bounded_space_min_allowed_z;
   const double max_z = sparams->bounded_space_max_allowed_z;
   const double max_r_sq = sparams->bounded_space_max_allowed_radius_squared;
@@ -322,43 +325,46 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
   const Real3 next_position = current_position + movement_at_next_step;
   real_t radi_sq = 0.0;
   switch (sparams->tumor_shape) {
-  case TumorShape::kCylinder: {
-    // Check the z coordinate
-    if (next_position[2] < min_z) {
-      movement_at_next_step[2] = min_z - current_position[2];
-    } else if (next_position[2] > max_z) {
-      movement_at_next_step[2] = max_z - current_position[2];
-    }
-    // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1];
-    if (radi_sq>max_r_sq) {
-      // Scale down the movement to stay within the allowed radius
-      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-      movement_at_next_step[0] *= scale_factor;
-      movement_at_next_step[1] *= scale_factor;
+    case TumorShape::kCylinder: {
+      // Check the z coordinate
+      if (next_position[2] < min_z) {
+        movement_at_next_step[2] = min_z - current_position[2];
+      } else if (next_position[2] > max_z) {
+        movement_at_next_step[2] = max_z - current_position[2];
+      }
+      // Only consider x and y for cylindrical rumor, distance to the axis of
+      // the cylinder
+      radi_sq = next_position[0] * next_position[0] +
+                next_position[1] * next_position[1];
+      if (radi_sq > max_r_sq) {
+        // Scale down the movement to stay within the allowed radius
+        const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+        movement_at_next_step[0] *= scale_factor;
+        movement_at_next_step[1] *= scale_factor;
+      }
+      break;
     }
-    break;
-  }
 
-  case TumorShape::kSphere: {
-    // Consider all three dimensions for spherical radius
-    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1] + next_position[2] * next_position[2];
-    if (radi_sq>max_r_sq) {
-      // Scale down the movement to stay within the allowed radius
-      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-      movement_at_next_step[0] *= scale_factor;
-      movement_at_next_step[1] *= scale_factor;
-      movement_at_next_step[2] *= scale_factor;
+    case TumorShape::kSphere: {
+      // Consider all three dimensions for spherical radius
+      radi_sq = next_position[0] * next_position[0] +
+                next_position[1] * next_position[1] +
+                next_position[2] * next_position[2];
+      if (radi_sq > max_r_sq) {
+        // Scale down the movement to stay within the allowed radius
+        const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+        movement_at_next_step[0] *= scale_factor;
+        movement_at_next_step[1] *= scale_factor;
+        movement_at_next_step[2] *= scale_factor;
+      }
+      break;
     }
-    break;
-  }
 
-  default:
-    Log::Error(
-        "TumorCell::CalculateDisplacement",
-        "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-    break;
-}
+    default:
+      Log::Error("TumorCell::CalculateDisplacement",
+                 "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+      break;
+  }
   // Displacement
   return movement_at_next_step;
 }
@@ -466,11 +472,14 @@ real_t CarTCell::ConsumeSecreteSubstance(int substance_id,
   if (substance_id == oxygen_dgrid_->GetContinuumId()) {
     // consuming oxygen
     res = (old_concentration + constant1_oxygen_) / constant2_oxygen_;
-  } else if (IsImmunostimulatoryFactorDefined() && substance_id == immunostimulatory_factor_dgrid_->GetContinuumId()) {
-    // There is a definde immunostimulatory factor grid and this is the one being updated
-    // CAR-T do not change immunostimulatory factor levels
+  } else if (IsImmunostimulatoryFactorDefined() &&
+             substance_id ==
+                 immunostimulatory_factor_dgrid_->GetContinuumId()) {
+    // There is a definde immunostimulatory factor grid and this is the one
+    // being updated CAR-T do not change immunostimulatory factor levels
     res = old_concentration;
-  } else if (IsGlucoseDefined() && substance_id == glucose_dgrid_->GetContinuumId()) {
+  } else if (IsGlucoseDefined() &&
+             substance_id == glucose_dgrid_->GetContinuumId()) {
     // There is a definde glucose grid and this is the one being updated
     // CAR-T do not change glucose levels
     res = (old_concentration + constant1_glucose_) / constant2_glucose_;
@@ -508,14 +517,14 @@ void CarTCell::ComputeConstantsConsumptionSecretion() {
                               (oxygen_consumption_rate_);
   // Compute constants for glucose consumption if glucose is defined
   if (IsGlucoseDefined()) {
-    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
-    // · (V_k / V_voxel) · S_k · ρ*_k)
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =
+    // dt · (V_k / V_voxel) · S_k · ρ*_k)
     constant1_glucose_ = 0.;
     // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
     // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
     constant2_glucose_ = 1 + sparams->dt_substances *
-                                (volume / sparams->voxel_volume) *
-                                (glucose_consumption_rate_);
+                                 (volume / sparams->voxel_volume) *
+                                 (glucose_consumption_rate_);
   }
 }
 
@@ -544,17 +553,20 @@ void StateControlCart::Run(Agent* agent) {
           cell->SetState(CarTCellState::kApoptotic);
           // Reset timer_state, it should be 0 anyway
           cell->SetTimerState(0);
-          // Set target fuid volume to 0 (the cell shrinks loosing all its liquids)
+          // Set target fuid volume to 0 (the cell shrinks loosing all its
+          // liquids)
           const real_t current_total_volume = cell->GetVolume();
           const real_t fluid_fraction = cell->GetFluidFraction();
           const real_t nuclear_volume = cell->GetNuclearVolume();
           const real_t current_cytoplasm_solid =
               (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
-          const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+          const real_t current_nuclear_solid =
+              nuclear_volume * (1 - fluid_fraction);
           cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
-          cell->SetTargetNucleusSolid( current_nuclear_solid);
+          cell->SetTargetNucleusSolid(current_nuclear_solid);
           cell->SetTargetFractionFluid(0.0);
-          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
+          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid /
+                                                  current_nuclear_solid);
           // Reduce oxygen consumption
           cell->SetOxygenConsumptionRate(
               cell->GetOxygenConsumptionRate() *
diff --git a/src/agents/cart_cell.h b/src/agents/cart_cell.h
index b6889a5..8761c08 100644
--- a/src/agents/cart_cell.h
+++ b/src/agents/cart_cell.h
@@ -158,13 +158,9 @@ class CarTCell final : public Cell, public ISubstanceInteractor {
     return immunostimulatory_factor_dgrid_ != nullptr;
   }
   /// Returns the diffusion grid for glucose
-  DiffusionGrid* GetGlucoseDiffusionGrid() const {
-    return glucose_dgrid_;
-  }
+  DiffusionGrid* GetGlucoseDiffusionGrid() const { return glucose_dgrid_; }
   /// Returns wether the Immunostimulatory factor is defined
-  bool IsGlucoseDefined() const {
-    return glucose_dgrid_ != nullptr;
-  }
+  bool IsGlucoseDefined() const { return glucose_dgrid_ != nullptr; }
 
   /// Change volume using exponential relaxation equation
   ///
@@ -293,10 +289,12 @@ class CarTCell final : public Cell, public ISubstanceInteractor {
   /// Constant 2 for oxygen consumption/secretion differential equation solution
   real_t constant2_oxygen_ = 0.0;
 
-  /// Constant 1 for glucose consumption/secretion differential equation solution
+  /// Constant 1 for glucose consumption/secretion differential equation
+  /// solution
   real_t constant1_glucose_ = 0.0;
 
-  /// Constant 2 for glucose consumption/secretion differential equation solution
+  /// Constant 2 for glucose consumption/secretion differential equation
+  /// solution
   real_t constant2_glucose_ = 0.0;
 
   /// Pointer to the attached tumor cell
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index b9e39e4..7559e12 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -36,6 +36,7 @@
 #include "core/util/log.h"
 #include "core/util/random.h"
 #include <algorithm>
+#include <cmath>
 #include <cstdint>
 #include <stdexcept>
 #include <string>
@@ -47,23 +48,28 @@ TumorCell::TumorCell(const Real3& position) {
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volumes
   // Set default volume
-  real_t total_volume=SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,sparams->std_volume_new_tumor_cell);
+  real_t total_volume =
+      SamplePositiveGaussian(sparams->default_volume_new_tumor_cell,
+                             sparams->std_volume_new_tumor_cell);
   // Clip the value between the minimum and maximum allowed values
   if (total_volume < sparams->min_volume_new_tumor_cell) {
-    total_volume=sparams->min_volume_new_tumor_cell;
+    total_volume = sparams->min_volume_new_tumor_cell;
   } else if (total_volume > sparams->max_volume_new_tumor_cell) {
-    total_volume=sparams->max_volume_new_tumor_cell;
+    total_volume = sparams->max_volume_new_tumor_cell;
   }
   SetVolume(total_volume);
   // Set default fluid fraction
   SetFluidFraction(sparams->default_fraction_fluid_tumor_cell);
   // Set default nuclear volume
-  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_tumor_cell*total_volume);
+  SetNuclearVolume(sparams->default_fraction_of_volume_for_nucleus_tumor_cell *
+                   total_volume);
   // target volumes
   // Set target fraction of fluid
   SetTargetFractionFluid(sparams->default_fraction_fluid_tumor_cell);
   // Set target relation between cytoplasm and nucleus
-  real_t default_volume_nucleus_tumor_cell = sparams->default_fraction_of_volume_for_nucleus_tumor_cell * sparams->default_volume_new_tumor_cell;
+  const real_t default_volume_nucleus_tumor_cell =
+      sparams->default_fraction_of_volume_for_nucleus_tumor_cell *
+      sparams->default_volume_new_tumor_cell;
   SetTargetRelationCytoplasmNucleus(
       (sparams->default_volume_new_tumor_cell -
        default_volume_nucleus_tumor_cell) /
@@ -82,14 +88,14 @@ TumorCell::TumorCell(const Real3& position) {
   ResourceManager* rm = Simulation::GetActive()->GetResourceManager();
   // Pointer to oxygen diffusion grid
   oxygen_dgrid_ = rm->GetDiffusionGrid("oxygen");
-  // Pointer to immunostimulatory_factor diffusion grid if it is added in the simulation
+  // Pointer to immunostimulatory_factor diffusion grid if it is added in the
+  // simulation
   immunostimulatory_factor_dgrid_ =
-    sparams->add_immunostimulatory_factor
-        ? rm->GetDiffusionGrid("immunostimulatory_factor")
-        : nullptr;
-  glucose_dgrid_ = sparams->add_glucose
-        ? rm->GetDiffusionGrid("glucose")
-        : nullptr;
+      sparams->add_immunostimulatory_factor
+          ? rm->GetDiffusionGrid("immunostimulatory_factor")
+          : nullptr;
+  glucose_dgrid_ =
+      sparams->add_glucose ? rm->GetDiffusionGrid("glucose") : nullptr;
   // Set state transition random rate
   SetTransformationRandomRate();
   // Set basal death probability
@@ -122,11 +128,13 @@ void TumorCell::Initialize(const NewAgentEvent& event) {
       // Pointer to the oxygen diffusion grid
       oxygen_dgrid_ = mother->oxygen_dgrid_;
       // Pointer to the immunostimulatory_factor diffusion grid
-      immunostimulatory_factor_dgrid_ = mother->IsImmunostimulatoryFactorDefined()
-                                           ? mother->immunostimulatory_factor_dgrid_
-                                           : nullptr;
+      immunostimulatory_factor_dgrid_ =
+          mother->IsImmunostimulatoryFactorDefined()
+              ? mother->immunostimulatory_factor_dgrid_
+              : nullptr;
       // Pointer to the glucose diffusion grid
-      glucose_dgrid_ = mother->IsGlucoseDefined() ? mother->glucose_dgrid_ : nullptr;
+      glucose_dgrid_ =
+          mother->IsGlucoseDefined() ? mother->glucose_dgrid_ : nullptr;
       // inherit oncoprotein level from mother cell
       this->SetOncoproteinLevel(mother->oncoprotein_level_);
       // inherit oxygen consumption from mother cell
@@ -327,7 +335,8 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
 
   older_velocity_ = translation_velocity_on_point_mass;
 
-  // Clamp the movement if it surpasses the more restricted specified boundaries.
+  // Clamp the movement if it surpasses the more restricted specified
+  // boundaries.
   Real3 current_position = GetPosition();
   const double min_z = sparams->bounded_space_min_allowed_z;
   const double max_z = sparams->bounded_space_max_allowed_z;
@@ -336,43 +345,46 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
   const Real3 next_position = current_position + movement_at_next_step;
   real_t radi_sq = 0.0;
   switch (sparams->tumor_shape) {
-  case TumorShape::kCylinder: {
-    // Check the z coordinate
-    if (next_position[2] < min_z) {
-      movement_at_next_step[2] = min_z - current_position[2];
-    } else if (next_position[2] > max_z) {
-      movement_at_next_step[2] = max_z - current_position[2];
-    }
-    // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1];
-    if (radi_sq>max_r_sq) {
-      // Scale down the movement to stay within the allowed radius
-      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-      movement_at_next_step[0] *= scale_factor;
-      movement_at_next_step[1] *= scale_factor;
+    case TumorShape::kCylinder: {
+      // Check the z coordinate
+      if (next_position[2] < min_z) {
+        movement_at_next_step[2] = min_z - current_position[2];
+      } else if (next_position[2] > max_z) {
+        movement_at_next_step[2] = max_z - current_position[2];
+      }
+      // Only consider x and y for cylindrical rumor, distance to the axis of
+      // the cylinder
+      radi_sq = next_position[0] * next_position[0] +
+                next_position[1] * next_position[1];
+      if (radi_sq > max_r_sq) {
+        // Scale down the movement to stay within the allowed radius
+        const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+        movement_at_next_step[0] *= scale_factor;
+        movement_at_next_step[1] *= scale_factor;
+      }
+      break;
     }
-    break;
-  }
 
-  case TumorShape::kSphere: {
-    // Consider all three dimensions for spherical radius
-    radi_sq = next_position[0] * next_position[0] + next_position[1] * next_position[1] + next_position[2] * next_position[2];
-    if (radi_sq>max_r_sq) {
-      // Scale down the movement to stay within the allowed radius
-      const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-      movement_at_next_step[0] *= scale_factor;
-      movement_at_next_step[1] *= scale_factor;
-      movement_at_next_step[2] *= scale_factor;
+    case TumorShape::kSphere: {
+      // Consider all three dimensions for spherical radius
+      radi_sq = next_position[0] * next_position[0] +
+                next_position[1] * next_position[1] +
+                next_position[2] * next_position[2];
+      if (radi_sq > max_r_sq) {
+        // Scale down the movement to stay within the allowed radius
+        const double scale_factor = std::sqrt(max_r_sq / radi_sq);
+        movement_at_next_step[0] *= scale_factor;
+        movement_at_next_step[1] *= scale_factor;
+        movement_at_next_step[2] *= scale_factor;
+      }
+      break;
     }
-    break;
-  }
 
-  default:
-    Log::Error(
-        "TumorCell::CalculateDisplacement",
-        "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-    break;
-}
+    default:
+      Log::Error("TumorCell::CalculateDisplacement",
+                 "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+      break;
+  }
 
   // Displacement
   return movement_at_next_step;
@@ -386,12 +398,15 @@ real_t TumorCell::ConsumeSecreteSubstance(int substance_id,
   if (substance_id == oxygen_dgrid_->GetContinuumId()) {
     // consuming oxygen
     res = (old_concentration + constant1_oxygen_) / constant2_oxygen_;
-  } else if (IsImmunostimulatoryFactorDefined() && substance_id == immunostimulatory_factor_dgrid_->GetContinuumId()) {
-    // There is a definde immunostimulatory factor grid and this is the one being updated
-    // secreting immunostimulatory factor
+  } else if (IsImmunostimulatoryFactorDefined() &&
+             substance_id ==
+                 immunostimulatory_factor_dgrid_->GetContinuumId()) {
+    // There is a definde immunostimulatory factor grid and this is the one
+    // being updated secreting immunostimulatory factor
     res = (old_concentration + constant1_immunostimulatory_factor_) /
           constant2_immunostimulatory_factor_;
-  } else if (IsGlucoseDefined() && substance_id == glucose_dgrid_->GetContinuumId()) {
+  } else if (IsGlucoseDefined() &&
+             substance_id == glucose_dgrid_->GetContinuumId()) {
     // There is a defined glucose grid and this is the one being updated
     // CAR-T do not change glucose levels
     res = (old_concentration + constant1_glucose_) / constant2_glucose_;
@@ -426,9 +441,9 @@ void TumorCell::ComputeConstantsConsumptionSecretion() {
                               (new_volume / sparams->voxel_volume) *
                               (oxygen_consumption_rate_);
   if (IsImmunostimulatoryFactorDefined()) {
-    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
-    // · (V_k / V_voxel) · S_k · ρ*_k)
-    // Scale by the volume of the cell in the Voxel and time step
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =
+    // dt · (V_k / V_voxel) · S_k · ρ*_k) Scale by the volume of the cell in the
+    // Voxel and time step
     constant1_immunostimulatory_factor_ =
         immunostimulatory_factor_secretion_rate_ *
         sparams->saturation_density_immunostimulatory_factor *
@@ -442,14 +457,14 @@ void TumorCell::ComputeConstantsConsumptionSecretion() {
   }
 
   if (IsGlucoseDefined()) {
-    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =  dt
-    // · (V_k / V_voxel) · S_k · ρ*_k)
+    // dt*(cell_volume/voxel_volume)*quantity_secretion*substance_saturation =
+    // dt · (V_k / V_voxel) · S_k · ρ*_k)
     constant1_glucose_ = 0.;
     // 1 + dt*(cell_volume/voxel_volume)*(quantity_secretion +
     // quantity_consumption ) = [1 + dt · (V_k / V_voxel) · (S_k + U_k)]
     constant2_glucose_ = 1 + sparams->dt_substances *
-                                (new_volume / sparams->voxel_volume) *
-                                (glucose_consumption_rate_);
+                                 (new_volume / sparams->voxel_volume) *
+                                 (glucose_consumption_rate_);
   }
 }
 
@@ -475,9 +490,10 @@ void TumorCell::StartApoptosis() {
       (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
   const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
   SetTargetCytoplasmSolid(current_cytoplasm_solid);
-  SetTargetNucleusSolid( current_nuclear_solid);
+  SetTargetNucleusSolid(current_nuclear_solid);
   SetTargetFractionFluid(0.0);
-  SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
+  SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid /
+                                    current_nuclear_solid);
   // Reduce oxygen consumption
   SetOxygenConsumptionRate(GetOxygenConsumptionRate() *
                            sparams->reduction_consumption_dead_cells);
@@ -511,20 +527,21 @@ void StateControlGrowProliferate::Run(Agent* agent) {
         // minutes per step)
         cell->SetTimerState(cell->GetTimerState() + sparams->dt_cycle);
 
-          // Oxygen levels
-          const Real3 current_position = cell->GetPosition();
-          // Pointer to the oxygen diffusion grid
-          DiffusionGrid* oxygen_dgrid = cell->GetOxygenDiffusionGrid();
-          const real_t oxygen_level = oxygen_dgrid->GetValue(current_position);
-
-          // Glucose levels if a glucose diffusion grid is defined
-          real_t glucose_level = 0.0;
-          if (cell->IsGlucoseDefined()) {
-            DiffusionGrid* glucose_dgrid = cell->GetGlucoseDiffusionGrid();
-            glucose_level = glucose_dgrid->GetValue(current_position);
-          }
+        // Oxygen levels
+        const Real3 current_position = cell->GetPosition();
+        // Pointer to the oxygen diffusion grid
+        DiffusionGrid* oxygen_dgrid = cell->GetOxygenDiffusionGrid();
+        const real_t oxygen_level = oxygen_dgrid->GetValue(current_position);
+
+        // Glucose levels if a glucose diffusion grid is defined
+        real_t glucose_level = 0.0;
+        if (cell->IsGlucoseDefined()) {
+          DiffusionGrid* glucose_dgrid = cell->GetGlucoseDiffusionGrid();
+          glucose_level = glucose_dgrid->GetValue(current_position);
+        }
 
-        // Die if oxygen or glucose levels are too low or because of random natural causes
+        // Die if oxygen or glucose levels are too low or because of random
+        // natural causes
         if (ShouldDie(oxygen_level, glucose_level, cell)) {
           // Exit the function to prevent further processing
           return;
@@ -552,20 +569,24 @@ void StateControlGrowProliferate::Run(Agent* agent) {
           cell->SetState(TumorCellState::kNecroticLysed);
           // Reset timer_state
           cell->SetTimerState(0);
-          // Set target fuid volume to 0 (the cell shrinks loosing all its liquids)
+          // Set target fuid volume to 0 (the cell shrinks loosing all its
+          // liquids)
           const real_t current_total_volume = cell->GetVolume();
           const real_t fluid_fraction = cell->GetFluidFraction();
           const real_t nuclear_volume = cell->GetNuclearVolume();
           const real_t current_cytoplasm_solid =
               (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
-          const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
+          const real_t current_nuclear_solid =
+              nuclear_volume * (1 - fluid_fraction);
           cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
-          cell->SetTargetNucleusSolid( current_nuclear_solid);
+          cell->SetTargetNucleusSolid(current_nuclear_solid);
           cell->SetTargetFractionFluid(0.0);
-          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
+          cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid /
+                                                  current_nuclear_solid);
           // Reduce oxygen consumption
-          cell->SetOxygenConsumptionRate(cell->GetOxygenConsumptionRate() *
-                                  sparams->reduction_consumption_dead_cells);
+          cell->SetOxygenConsumptionRate(
+              cell->GetOxygenConsumptionRate() *
+              sparams->reduction_consumption_dead_cells);
           // Stop secretion and consumption rate
           // Stop consumption
           cell->SetOxygenConsumptionRate(0.0);
@@ -630,33 +651,41 @@ void StateControlGrowProliferate::Run(Agent* agent) {
 
 // ManageLivingCell function to handle living cell behavior
 void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
-                                                   real_t oxygen_level, real_t glucose_level) {
-
+                                                   real_t oxygen_level,
+                                                   real_t glucose_level) {
   const auto* sparams = Simulation::GetActive()->GetParam()->Get<SimParam>();
   // volume change
-  // If this tumoral cell is already bigger than the target volume, the volume does not change since it is already big enough to divide and it should not shrink
-  if(cell->GetVolume() < cell->GetTargetTotalVolume()) {
-    // If there is a glucose diffusion grid defined it affects the speed of growth of the cell
-    // Initialize multiplier
+  // If this tumoral cell is already bigger than the target volume, the volume
+  // does not change since it is already big enough to divide and it should not
+  // shrink
+  if (cell->GetVolume() < cell->GetTargetTotalVolume()) {
+    // If there is a glucose diffusion grid defined it affects the speed of
+    // growth of the cell Initialize multiplier
     real_t multiplier_glucose = 1.0;
-    if(cell->IsGlucoseDefined()) {
-      //if there is a definde glucose gradient in the simulation
-      // glucose threshold for considering an effect on the growth speed
+    if (cell->IsGlucoseDefined()) {
+      // if there is a definde glucose gradient in the simulation
+      //  glucose threshold for considering an effect on the growth speed
       if (glucose_level < sparams->glucose_saturation_for_tumor_cell_growth) {
-        multiplier_glucose = (glucose_level - sparams->glucose_limit_for_tumor_cell_growth) /
-                    (sparams->glucose_saturation_for_tumor_cell_growth -
-                      sparams->glucose_limit_for_tumor_cell_growth);
+        multiplier_glucose =
+            (glucose_level - sparams->glucose_limit_for_tumor_cell_growth) /
+            (sparams->glucose_saturation_for_tumor_cell_growth -
+             sparams->glucose_limit_for_tumor_cell_growth);
       }
       // If glucose is below the limit, set multiplier to 0
       if (glucose_level < sparams->glucose_limit_for_tumor_cell_growth) {
         multiplier_glucose = 0.0;
       }
     }
-    //change volume change speed depending on the vailable glucose. This also affects ploriferation because if the cells do not grow big enough they cannot divide
+    // change volume change speed depending on the vailable glucose. This also
+    // affects ploriferation because if the cells do not grow big enough they
+    // cannot divide
     cell->ChangeVolumeExponentialRelaxationEquation(
-        sparams->volume_relaxation_rate_alive_tumor_cell_cytoplasm * multiplier_glucose,
-        sparams->volume_relaxation_rate_alive_tumor_cell_nucleus * multiplier_glucose,
-        sparams->volume_relaxation_rate_alive_tumor_cell_fluid * multiplier_glucose);
+        sparams->volume_relaxation_rate_alive_tumor_cell_cytoplasm *
+            multiplier_glucose,
+        sparams->volume_relaxation_rate_alive_tumor_cell_nucleus *
+            multiplier_glucose,
+        sparams->volume_relaxation_rate_alive_tumor_cell_fluid *
+            multiplier_glucose);
   }
 
   // cell state control
@@ -666,9 +695,10 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
   real_t multiplier_oxygen = 1.0;
   // oxygen threshold for considering an effect on the proliferation cycle
   if (oxygen_level < sparams->oxygen_saturation_for_proliferation) {
-    multiplier_oxygen = (oxygen_level - sparams->oxygen_limit_for_proliferation) /
-                 (sparams->oxygen_saturation_for_proliferation -
-                  sparams->oxygen_limit_for_proliferation);
+    multiplier_oxygen =
+        (oxygen_level - sparams->oxygen_limit_for_proliferation) /
+        (sparams->oxygen_saturation_for_proliferation -
+         sparams->oxygen_limit_for_proliferation);
   }
   // If oxygen is below the limit, set multiplier to 0
   if (oxygen_level < sparams->oxygen_limit_for_proliferation) {
@@ -677,11 +707,15 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
   // Calculate the rate of state change based on oxygen level and oncoprotein
   // (min^-1)
   real_t final_rate_transition = cell->GetTransformationRandomRate() *
-                                       multiplier_oxygen * cell->GetOncoproteinLevel();
-
-  // Check the dimensions of the cell, if it is too small, it cannot divide: it needs to grow more before dividing
-  if(cell->GetVolume() < cell->GetTargetTotalVolume()*sparams->minimum_tumor_cell_target_volume_fraction_for_division) {
-    final_rate_transition=0;
+                                 multiplier_oxygen *
+                                 cell->GetOncoproteinLevel();
+
+  // Check the dimensions of the cell, if it is too small, it cannot divide: it
+  // needs to grow more before dividing
+  if (cell->GetVolume() <
+      cell->GetTargetTotalVolume() *
+          sparams->minimum_tumor_cell_target_volume_fraction_for_division) {
+    final_rate_transition = 0;
   }
 
   // Calculate the time to wait (in minutes)
@@ -701,9 +735,11 @@ void StateControlGrowProliferate::ManageLivingCell(TumorCell* cell,
   }
 }
 
-// computes the probability of the cell of dying due to low oxygen or glucose levels or due to random natural causes
-bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_level,
-                                                      TumorCell* cell) {
+// computes the probability of the cell of dying due to low oxygen or glucose
+// levels or due to random natural causes
+bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level,
+                                            real_t glucose_level,
+                                            TumorCell* cell) {
   Simulation* sim = Simulation::GetActive();
   const auto* sparams = sim->GetParam()->Get<SimParam>();
   Random* random = sim->GetRandom();
@@ -721,10 +757,13 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
     multiplier = 1.0;
   }
   // Calculate the probability of necrosis based on oxygen level
-  const real_t maximum_necrosis_rate_oxygen_multiplier = sparams->maximum_necrosis_lack_of_oxygen_rate * multiplier;
+  const real_t maximum_necrosis_rate_oxygen_multiplier =
+      sparams->maximum_necrosis_lack_of_oxygen_rate * multiplier;
 
-  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
-  const real_t probability_necrosis = sparams->dt_cycle * maximum_necrosis_rate_oxygen_multiplier;
+  // Final probability: multiply by sparams->dt_cycle since each timestep is
+  // sparams->dt_cycle minutes
+  const real_t probability_necrosis =
+      sparams->dt_cycle * maximum_necrosis_rate_oxygen_multiplier;
   const bool enter_necrosis = random->Uniform(0, 1) < probability_necrosis;
 
   // If the random number is less than the probability, enter necrosis
@@ -741,7 +780,7 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
     cell->SetOxygenConsumptionRate(cell->GetOxygenConsumptionRate() *
                                    sparams->reduction_consumption_dead_cells);
     cell->SetGlucoseConsumptionRate(cell->GetGlucoseConsumptionRate() *
-                                   sparams->reduction_consumption_dead_cells);
+                                    sparams->reduction_consumption_dead_cells);
     // Update constants for all ConsumptionSecretion of Oxygen and
     // Immunostimulatory Factors
     cell->ComputeConstantsConsumptionSecretion();
@@ -754,24 +793,26 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
         (current_total_volume - nuclear_volume) * (1 - fluid_fraction);
     const real_t current_nuclear_solid = nuclear_volume * (1 - fluid_fraction);
     cell->SetTargetCytoplasmSolid(current_cytoplasm_solid);
-    cell->SetTargetNucleusSolid( current_nuclear_solid);
+    cell->SetTargetNucleusSolid(current_nuclear_solid);
     cell->SetTargetFractionFluid(1.0);
-    cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid/current_nuclear_solid);
+    cell->SetTargetRelationCytoplasmNucleus(current_cytoplasm_solid /
+                                            current_nuclear_solid);
     // Set type to 5 to indicate dead cell
     cell->SetType(TumorCellType::kType5);
     return true;
   }
 
-  // If the cell does not eneter necrosis (due to low oxygen), check if it should die due to low glucose or random natural causes (apoptosis)
-  // Glucose (only if glucose is defined in the simulation)
-  // Default multiplier for apoptosis probability because of low glucose level
+  // If the cell does not eneter necrosis (due to low oxygen), check if it
+  // should die due to low glucose or random natural causes (apoptosis) Glucose
+  // (only if glucose is defined in the simulation) Default multiplier for
+  // apoptosis probability because of low glucose level
   multiplier = 0.0;
   if (cell->IsGlucoseDefined()) {
-    //there is a glucose diffusion grid defined in the simulation
-    // glucose threshold for considering necrosis
+    // there is a glucose diffusion grid defined in the simulation
+    //  glucose threshold for considering necrosis
     if (glucose_level < sparams->glucose_limit_for_death) {
       multiplier = (sparams->glucose_limit_for_death - glucose_level) /
-                  (sparams->glucose_limit_for_death -
+                   (sparams->glucose_limit_for_death -
                     sparams->glucose_limit_for_death_maximum);
     }
     // threshold for maximum apoptosis probability
@@ -779,16 +820,21 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level, real_t glucose_
       multiplier = 1.0;
     }
   }
-  // Calculate the probability of apoptosis based on glucose level. If no glucose gradient is defined it will be zero
-  const real_t maximum_death_rate_glucose_multiplier = sparams->maximum_death_lack_of_glucose_rate * multiplier;
+  // Calculate the probability of apoptosis based on glucose level. If no
+  // glucose gradient is defined it will be zero
+  const real_t maximum_death_rate_glucose_multiplier =
+      sparams->maximum_death_lack_of_glucose_rate * multiplier;
 
   // Random natural causes
-  const real_t current_basal_death_probability = cell->GetBasalDeathProbability();
-  // Final probability: multiply by sparams->dt_cycle since each timestep is sparams->dt_cycle minutes
-  // The probability of natural aopotosis is calculated as the complement of the product of the complements of the individual probabilities, scaled by the time step.
+  const real_t current_basal_death_probability =
+      cell->GetBasalDeathProbability();
+  // Final probability: multiply by sparams->dt_cycle since each timestep is
+  // sparams->dt_cycle minutes The probability of natural aopotosis is
+  // calculated as the complement of the product of the complements of the
+  // individual probabilities, scaled by the time step.
   const real_t probability_apoptosis =
       sparams->dt_cycle * (1.0 - (1.0 - maximum_death_rate_glucose_multiplier) *
-                                  (1.0 - current_basal_death_probability));
+                                     (1.0 - current_basal_death_probability));
 
   const bool enter_apoptosis = random->Uniform(0, 1) < probability_apoptosis;
   // If the random number is less than the probability, enter necrosis
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index 81b7148..b6d205f 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -157,7 +157,10 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   void SetAttachedToCart(bool attached) { attached_to_cart_ = attached; }
   bool IsAttachedToCart() const { return attached_to_cart_; }
 
-  void SetType(TumorCellType type) { type_ = type; cell_type_ = static_cast<int>(type_); }
+  void SetType(TumorCellType type) {
+    type_ = type;
+    cell_type_ = static_cast<int>(type_);
+  }
   TumorCellType GetType() const { return type_; }
   int GetTypeAsInt() const { return cell_type_; }
 
@@ -191,18 +194,14 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   DiffusionGrid* GetImmunostimulatoryFactorDiffusionGrid() const {
     return immunostimulatory_factor_dgrid_;
   }
-    /// Returns wether the Immunostimulatory factor is defined
+  /// Returns wether the Immunostimulatory factor is defined
   bool IsImmunostimulatoryFactorDefined() const {
     return immunostimulatory_factor_dgrid_ != nullptr;
   }
   /// Returns the diffusion grid for glucose
-  DiffusionGrid* GetGlucoseDiffusionGrid() const {
-    return glucose_dgrid_;
-  }
+  DiffusionGrid* GetGlucoseDiffusionGrid() const { return glucose_dgrid_; }
   /// Returns wether the Immunostimulatory factor is defined
-  bool IsGlucoseDefined() const {
-    return glucose_dgrid_ != nullptr;
-  }
+  bool IsGlucoseDefined() const { return glucose_dgrid_ != nullptr; }
 
   /// Change volume using exponential relaxation equation
   ///
@@ -333,10 +332,12 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// Constant 2 for oxygen consumption/secretion differential equation solution
   real_t constant2_oxygen_ = 0.0;
 
-  /// Constant 1 for glucose consumption/secretion differential equation solution
+  /// Constant 1 for glucose consumption/secretion differential equation
+  /// solution
   real_t constant1_glucose_ = 0.0;
 
-  /// Constant 2 for glucose consumption/secretion differential equation solution
+  /// Constant 2 for glucose consumption/secretion differential equation
+  /// solution
   real_t constant2_glucose_ = 0.0;
 
   /// Constant 1 for immunostimulatory factor consumption/secretion differential
@@ -376,22 +377,26 @@ struct StateControlGrowProliferate : public Behavior {
   void Run(Agent* agent) override;
 
  private:
-  /// Compute the probability of the cell dying due to low oxygen or glucose levels or due to random natural causes
+  /// Compute the probability of the cell dying due to low oxygen or glucose
+  /// levels or due to random natural causes
   ///
-  /// Determines whether a cell should enter necrosis based on oxygen levels or apoptosis because of random causes and, if deffined, glucose levels
+  /// Determines whether a cell should enter necrosis based on oxygen levels or
+  /// apoptosis because of random causes and, if deffined, glucose levels
   ///
   /// @param oxygen_level Current oxygen concentration at the cell's location
   /// @param glucose_level Current glucose concentration at the cell's location
   /// @param cell Pointer to the tumor cell being evaluated
   /// @return True if the cell should die, false otherwise
-  static bool ShouldDie(real_t oxygen_level, real_t glucose_level, TumorCell* cell);
+  static bool ShouldDie(real_t oxygen_level, real_t glucose_level,
+                        TumorCell* cell);
 
   /// Manage the behavior of a living tumor cell
   ///
   /// @param cell Pointer to the tumor cell being managed
   /// @param oxygen_level Current oxygen concentration at the cell's location
   /// @param glucose_level Current glucose concentration at the cell's location
-  static void ManageLivingCell(TumorCell* cell, real_t oxygen_level, real_t glucose_level);
+  static void ManageLivingCell(TumorCell* cell, real_t oxygen_level,
+                               real_t glucose_level);
 };
 
 }  // namespace bdm
diff --git a/src/cart_tumor.cc b/src/cart_tumor.cc
index 6a2e1c0..f8048ae 100644
--- a/src/cart_tumor.cc
+++ b/src/cart_tumor.cc
@@ -21,7 +21,7 @@
 
 #include "cart_tumor.h"
 #include "agents/tumor_cell.h"
-#include "diffusion/cylinder_wall_boundary_condition.h"
+#include "diffusion/cylinder_wall_boundary_condition.h"  // NOLINT(llvm-include-order)
 #include "diffusion/diffusion_thomas_algorithm.h"
 #include "forces/forces_tumor_cart.h"
 #include "params/hyperparams.h"
@@ -37,6 +37,7 @@
 #include "core/resource_manager.h"
 #include "core/scheduler.h"
 #include "core/simulation.h"
+#include "core/util/log.h"
 #include <cstdint>
 #include <iostream>
 #include <memory>
@@ -101,8 +102,7 @@ int Simulate(int argc, const char** argv) {
           kOxygen, "oxygen", sparam->diffusion_coefficient_oxygen,
           sparam->decay_constant_oxygen, sparam->resolution_grid_substances,
           sparam->dt_substances,
-          /*dirichlet_border=*/true,
-          sparam->diffuse_oxygen_on_z_axis);
+          /*dirichlet_border=*/true, sparam->diffuse_oxygen_on_z_axis);
   rm->AddContinuum(oxygen_grid.release());
 
   // Boundary Conditions Dirichlet: simulating absorption or total loss at the
@@ -135,9 +135,11 @@ int Simulate(int argc, const char** argv) {
   const real_t initial_oxygen_level = sparam->initial_oxygen_level;
   // Initialize oxygen voxels
   ModelInitializer::InitializeSubstance(
-      kOxygen, [initial_oxygen_level, min_initial_z_substances, max_initial_z_substances](real_t x, real_t y, real_t z) {
+      kOxygen,
+      [initial_oxygen_level, min_initial_z_substances,
+       max_initial_z_substances](real_t /*x*/, real_t /*y*/, real_t z) {
         if (z <= max_initial_z_substances && z >= min_initial_z_substances) {
-            return initial_oxygen_level;
+          return initial_oxygen_level;
         }
         return 0.0;
       });
@@ -155,8 +157,9 @@ int Simulate(int argc, const char** argv) {
             sparam->diffuse_immunostimulatory_factor_on_z_axis);
     rm->AddContinuum(immunostimulatory_factor_grid.release());
 
-    // This is useless now but should be added this way in a future version of BioDynaMo.
-    // Neumann boundary condition: the is not consumed nor produced at the boundaries
+    // This is useless now but should be added this way in a future version of
+    // BioDynaMo. Neumann boundary condition: the is not consumed nor produced
+    // at the boundaries
     ModelInitializer::AddBoundaryConditions(
         kImmunostimulatoryFactor, BoundaryConditionType::kNeumann, nullptr);
   }
@@ -169,57 +172,68 @@ int Simulate(int argc, const char** argv) {
             kGlucose, "glucose", sparam->diffusion_coefficient_glucose,
             sparam->decay_constant_glucose, sparam->resolution_grid_substances,
             sparam->dt_substances,
-            /*dirichlet_border=*/false,
-            sparam->diffuse_glucose_on_z_axis);
+            /*dirichlet_border=*/false, sparam->diffuse_glucose_on_z_axis);
     rm->AddContinuum(glucose_grid.release());
 
-    // This is useless now but should be added this way in a future version of BioDynaMo.
-    // Neumann boundary condition: the is not consumed nor produced at the boundaries
+    // This is useless now but should be added this way in a future version of
+    // BioDynaMo. Neumann boundary condition: the is not consumed nor produced
+    // at the boundaries
     ModelInitializer::AddBoundaryConditions(
         kGlucose, BoundaryConditionType::kNeumann, nullptr);
     const real_t initial_glucose_level = sparam->initial_glucose_level;
-    const real_t squared_radius_glucose_initialization = sparam->max_radius_glucose_initialization*sparam->max_radius_glucose_initialization;
+    const real_t squared_radius_glucose_initialization =
+        sparam->max_radius_glucose_initialization *
+        sparam->max_radius_glucose_initialization;
     // Initialize oxygen voxels
-     ModelInitializer::InitializeSubstance(
-        kGlucose, [initial_glucose_level, min_initial_z_substances, max_initial_z_substances, tumor_shape, squared_radius_glucose_initialization](real_t x, real_t y, real_t z) {
-        if (z <= max_initial_z_substances &&
-            z >= min_initial_z_substances) { 
-            if(tumor_shape==TumorShape::kSphere && (x*x + y*y + z*z <= squared_radius_glucose_initialization)){
-                // Its spherical and the voxel is within the maximun spherical radius
-                return initial_glucose_level;
-            } else if(tumor_shape==TumorShape::kCylinder && (x*x + y*y <= squared_radius_glucose_initialization)){
-                // Its cylindrical and the voxel is within the maximun cylindrical radius
-                return initial_glucose_level;
+    ModelInitializer::InitializeSubstance(
+        kGlucose,
+        [initial_glucose_level, min_initial_z_substances,
+         max_initial_z_substances, tumor_shape,
+         squared_radius_glucose_initialization](real_t x, real_t y, real_t z) {
+          if (z <= max_initial_z_substances && z >= min_initial_z_substances) {
+            if (tumor_shape == TumorShape::kSphere &&
+                (x * x + y * y + z * z <=
+                 squared_radius_glucose_initialization)) {
+              // Its spherical and the voxel is within the maximun spherical
+              // radius
+              return initial_glucose_level;
             }
-            return initial_glucose_level;
-        }
-        return 0.0;
+            if (tumor_shape == TumorShape::kCylinder &&
+                (x * x + y * y <= squared_radius_glucose_initialization)) {
+              // Its cylindrical and the voxel is within the maximun cylindrical
+              // radius
+              return initial_glucose_level;
+            }
+          }
+          return 0.0;
         });
   }
-  
+
   // Tumor cells initialization
   std::vector<Real3> positions;
   switch (tumor_shape) {
-  case TumorShape::kSphere: {
-    // One spherical tumor of radius initial_spherical_tumor_radius in the center of the
-    // simulation space
-    positions = CreateSphereOfTumorCells(sparam->initial_spherical_tumor_radius);
-    break;
-  }
+    case TumorShape::kSphere: {
+      // One spherical tumor of radius initial_spherical_tumor_radius in the
+      // center of the simulation space
+      positions =
+          CreateSphereOfTumorCells(sparam->initial_spherical_tumor_radius);
+      break;
+    }
 
-  case TumorShape::kCylinder: {
-    // One cylindrical tumor of radius initial_spherical_tumor_radius and height
-    // cylindrical_tumor_height in the center of the simulation space
-    positions = CreateCylinderOfTumorCells(
-        sparam->cylindrical_tumor_radius, sparam->cylindrical_tumor_height,
-        sparam->initial_number_of_cylindrical_tumor_cells);
-break;
-  }
+    case TumorShape::kCylinder: {
+      // One cylindrical tumor of radius initial_spherical_tumor_radius and
+      // height cylindrical_tumor_height in the center of the simulation space
+      positions = CreateCylinderOfTumorCells(
+          sparam->cylindrical_tumor_radius, sparam->cylindrical_tumor_height,
+          sparam->initial_number_of_cylindrical_tumor_cells);
+      break;
+    }
 
-  default:
-    Log::Error("Simulate", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-    // Exit with an error code
-    return 1;
+    default:
+      Log::Error("Simulate",
+                 "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+      // Exit with an error code
+      return 1;
   }
 
   for (const auto& pos : positions) {
diff --git a/src/cart_tumor.h b/src/cart_tumor.h
index 83eb872..6c033a5 100644
--- a/src/cart_tumor.h
+++ b/src/cart_tumor.h
@@ -24,7 +24,7 @@
 namespace bdm {
 
 /// List the diffused substances
-enum Substances { kImmunostimulatoryFactor, kOxygen , kGlucose};
+enum Substances { kImmunostimulatoryFactor, kOxygen, kGlucose };
 
 /// Function declaration for the main simulation
 int Simulate(int argc, const char** argv);
diff --git a/src/diffusion/cylinder_wall_boundary_condition.cc b/src/diffusion/cylinder_wall_boundary_condition.cc
index 8f642aa..54b2683 100644
--- a/src/diffusion/cylinder_wall_boundary_condition.cc
+++ b/src/diffusion/cylinder_wall_boundary_condition.cc
@@ -19,12 +19,13 @@
  */
 
 #include "diffusion/cylinder_wall_boundary_condition.h"
+#include "core/real_t.h"
 
 namespace bdm {
 
 CylinderWallBoundaryCondition::CylinderWallBoundaryCondition(real_t value,
-                                                              real_t min_z,
-                                                              real_t max_z)
+                                                             real_t min_z,
+                                                             real_t max_z)
     : value_(value), min_z_(min_z), max_z_(max_z) {}
 
 real_t CylinderWallBoundaryCondition::Evaluate(real_t /*x*/, real_t /*y*/,
diff --git a/src/diffusion/cylinder_wall_boundary_condition.h b/src/diffusion/cylinder_wall_boundary_condition.h
index c89bdaa..ea98ed5 100644
--- a/src/diffusion/cylinder_wall_boundary_condition.h
+++ b/src/diffusion/cylinder_wall_boundary_condition.h
@@ -18,7 +18,7 @@
  * for the compiler-research.org organization.
  */
 
-#ifndef CYLINDER_WALL_BOUNDARY_CONDITION_H_
+#ifndef CYLINDER_WALL_BOUNDARY_CONDITION_H_  // NOLINT(llvm-header-guard)
 #define CYLINDER_WALL_BOUNDARY_CONDITION_H_
 
 #include "core/diffusion/diffusion_grid.h"
@@ -56,7 +56,8 @@ class CylinderWallBoundaryCondition final : public BoundaryCondition {
   CylinderWallBoundaryCondition(real_t value, real_t min_z, real_t max_z);
 
   /// @brief see BoundaryCondition::Evaluate()
-  real_t Evaluate(real_t x, real_t y, real_t z, real_t time) const final;
+  [[nodiscard]] real_t Evaluate(real_t x, real_t y, real_t z,
+                                real_t time) const final;
 
  private:
   /// Constant value of the boundary condition within [min_z_, max_z_]
@@ -66,9 +67,10 @@ class CylinderWallBoundaryCondition final : public BoundaryCondition {
   /// Upper z-bound (inclusive) where the boundary condition is active
   real_t max_z_ = 0.0;
 
+  // NOLINTNEXTLINE(modernize-type-traits,llvm-else-after-return,readability-else-after-return)
   BDM_CLASS_DEF_OVERRIDE(CylinderWallBoundaryCondition, 1);
 };
 
 }  // namespace bdm
 
-#endif  // CORE_DIFFUSION_CYLINDER_WALL_BOUNDARY_CONDITION_H_
+#endif  // CYLINDER_WALL_BOUNDARY_CONDITION_H_
diff --git a/src/diffusion/diffusion_thomas_algorithm.cc b/src/diffusion/diffusion_thomas_algorithm.cc
index 1e9897f..1201ad2 100644
--- a/src/diffusion/diffusion_thomas_algorithm.cc
+++ b/src/diffusion/diffusion_thomas_algorithm.cc
@@ -38,12 +38,9 @@
 
 namespace bdm {
 
-DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(int substance_id,
-                                                   std::string substance_name,
-                                                   real_t dc, real_t mu,
-                                                   int resolution, real_t dt,
-                                                   bool dirichlet_border,
-                                                   bool diffuse_on_z_axis)
+DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(
+    int substance_id, std::string substance_name, real_t dc, real_t mu,
+    int resolution, real_t dt, bool dirichlet_border, bool diffuse_on_z_axis)
     : DiffusionGrid(substance_id, std::move(substance_name), dc, mu,
                     resolution),
       resolution_(static_cast<int>(GetResolution())),
diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index d8b0b51..0589d7b 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -20,9 +20,10 @@
  */
 
 #include "params/hyperparams.h"
-#include "core/param/param_group.h"
 #include "core/param/param.h"
+#include "core/param/param_group.h"
 #include "core/real_t.h"
+#include "core/util/log.h"
 #include "core/util/math.h"
 #include <cmath>
 #include <cstddef>
@@ -85,46 +86,71 @@ void SimParam::LoadParams(const std::string& filename) {
   load_string("tumor_shape", tumor_shape_string);
   if (jfile.contains("tumor_shape")) {
     tumor_shape_string = jfile["tumor_shape"].get<std::string>();
-if (tumor_shape_string == "sphere") { tumor_shape = TumorShape::kSphere; } else if (tumor_shape_string == "cylinder") { tumor_shape = TumorShape::kCylinder; } else { tumor_shape = TumorShape::kSphere; Log::Error( "SimParam::LoadParams", "Unknown tumor shape '" + tumor_shape_string + "'. It should be either 'sphere' or 'cylinder'. Loading default value ('sphere') instead"); }
-
+    if (tumor_shape_string == "sphere") {
+      tumor_shape = TumorShape::kSphere;
+    } else if (tumor_shape_string == "cylinder") {
+      tumor_shape = TumorShape::kCylinder;
+    } else {
+      tumor_shape = TumorShape::kSphere;
+      Log::Error("SimParam::LoadParams",
+                 "Unknown tumor shape '" + tumor_shape_string +
+                     "'. It should be either 'sphere' or 'cylinder'. Loading "
+                     "default value ('sphere') instead");
+    }
   }
-  
+
   load_int("initial_number_of_cylindrical_tumor_cells",
            initial_number_of_cylindrical_tumor_cells);
   load_int("bounded_space_length", bounded_space_length);
   std::string bound_space_toplogy_string;
   if (jfile.contains("bound_space_toplogy")) {
-    bound_space_toplogy_string = jfile["bound_space_toplogy"].get<std::string>();
-if (bound_space_toplogy_string == "torus") { bound_space_toplogy = Param::BoundSpaceMode::kTorus; } 
-else if (bound_space_toplogy_string == "open") { bound_space_toplogy = Param::BoundSpaceMode::kOpen; } 
-else if (bound_space_toplogy_string == "closed") { bound_space_toplogy =  Param::BoundSpaceMode::kClosed; } 
-else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimParam::LoadParams", "Unknown bound space topology '" + bound_space_toplogy_string + "'. It should be either 'torus', 'open' or 'closed'. Loading default value ('torus') instead"); }
-
+    bound_space_toplogy_string =
+        jfile["bound_space_toplogy"].get<std::string>();
+    if (bound_space_toplogy_string == "torus") {
+      bound_space_toplogy = Param::BoundSpaceMode::kTorus;
+    } else if (bound_space_toplogy_string == "open") {
+      bound_space_toplogy = Param::BoundSpaceMode::kOpen;
+    } else if (bound_space_toplogy_string == "closed") {
+      bound_space_toplogy = Param::BoundSpaceMode::kClosed;
+    } else {
+      bound_space_toplogy = Param::BoundSpaceMode::kTorus;
+      Log::Error("SimParam::LoadParams",
+                 "Unknown bound space topology '" + bound_space_toplogy_string +
+                     "'. It should be either 'torus', 'open' or 'closed'. "
+                     "Loading default value ('torus') instead");
+    }
   }
 
-
   load_double("initial_spherical_tumor_radius", initial_spherical_tumor_radius);
   load_double("cylindrical_tumor_radius", cylindrical_tumor_radius);
   load_double("cylindrical_tumor_height", cylindrical_tumor_height);
-  
+
+  // Half of the bounded space length (integer division, as in the original
+  // defaults)
+  const int half_bounded_space_length = bounded_space_length / 2;
+
   if (jfile.contains("bounded_space_min_allowed_z")) {
-    bounded_space_min_allowed_z = jfile["bounded_space_min_allowed_z"].get<double>();
+    bounded_space_min_allowed_z =
+        jfile["bounded_space_min_allowed_z"].get<double>();
   } else {
-    bounded_space_min_allowed_z = -bounded_space_length/2;
+    bounded_space_min_allowed_z = -half_bounded_space_length;
   }
   if (jfile.contains("bounded_space_max_allowed_z")) {
-    bounded_space_max_allowed_z = jfile["bounded_space_max_allowed_z"].get<double>();
+    bounded_space_max_allowed_z =
+        jfile["bounded_space_max_allowed_z"].get<double>();
   } else {
-    bounded_space_max_allowed_z = bounded_space_length/2;
+    bounded_space_max_allowed_z = half_bounded_space_length;
   }
 
   if (jfile.contains("bounded_space_max_allowed_radius")) {
-    bounded_space_max_allowed_radius = jfile["bounded_space_max_allowed_radius"].get<double>();
+    bounded_space_max_allowed_radius =
+        jfile["bounded_space_max_allowed_radius"].get<double>();
   } else {
-    // if it is not defined we assign the whole length of the bounded space to avoid any restrictions
+    // if it is not defined we assign the whole length of the bounded space to
+    // avoid any restrictions
     bounded_space_max_allowed_radius = bounded_space_length;
   }
-  
+
   if (jfile.contains("treatment")) {
     treatment.clear();
     // Parse the JSON object to handle string keys
@@ -175,28 +201,31 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
   if (jfile.contains("min_initial_z_substances")) {
     min_initial_z_substances = jfile["min_initial_z_substances"].get<double>();
   } else {
-    min_initial_z_substances = -bounded_space_length/2;
+    min_initial_z_substances = -half_bounded_space_length;
   }
 
   if (jfile.contains("max_initial_z_substances")) {
     max_initial_z_substances = jfile["max_initial_z_substances"].get<double>();
   } else {
-    max_initial_z_substances = -bounded_space_length/2;
+    max_initial_z_substances = half_bounded_space_length;
   }
 
   if (jfile.contains("lateral_oxygen_production_min_z")) {
-    lateral_oxygen_production_min_z = jfile["lateral_oxygen_production_min_z"].get<double>();
+    lateral_oxygen_production_min_z =
+        jfile["lateral_oxygen_production_min_z"].get<double>();
   } else {
-    lateral_oxygen_production_min_z = -bounded_space_length/2;
+    lateral_oxygen_production_min_z = -half_bounded_space_length;
   }
 
   if (jfile.contains("lateral_oxygen_production_max_z")) {
-    lateral_oxygen_production_max_z = jfile["lateral_oxygen_production_max_z"].get<double>();
+    lateral_oxygen_production_max_z =
+        jfile["lateral_oxygen_production_max_z"].get<double>();
   } else {
-    lateral_oxygen_production_max_z = -bounded_space_length/2;
+    lateral_oxygen_production_max_z = half_bounded_space_length;
   }
   load_bool("diffuse_oxygen_on_z_axis", diffuse_oxygen_on_z_axis);
-  load_bool("diffuse_immunostimulatory_factor_on_z_axis", diffuse_immunostimulatory_factor_on_z_axis);
+  load_bool("diffuse_immunostimulatory_factor_on_z_axis",
+            diffuse_immunostimulatory_factor_on_z_axis);
   load_bool("diffuse_glucose_on_z_axis", diffuse_glucose_on_z_axis);
 
   load_double("diffusion_coefficient_oxygen", diffusion_coefficient_oxygen);
@@ -214,24 +243,18 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
   load_double("initial_glucose_level", initial_glucose_level);
 
   if (jfile.contains("max_radius_glucose_initialization")) {
-    max_radius_glucose_initialization = jfile["max_radius_glucose_initialization"].get<double>();
+    max_radius_glucose_initialization =
+        jfile["max_radius_glucose_initialization"].get<double>();
   } else {
     max_radius_glucose_initialization = bounded_space_length;
   }
 
-
-
   if (jfile.contains("diffuse_glucose_on_z_axis")) {
     diffuse_glucose_on_z_axis = jfile["diffuse_glucose_on_z_axis"].get<bool>();
   } else {
-    // if the tumor shape is cylindrical it should be set to false, otherwise it should be set to true
-    if (tumor_shape == TumorShape::kCylinder) {
-      // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-      diffuse_glucose_on_z_axis = false;
-    } else {
-      // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-      diffuse_glucose_on_z_axis = true;
-    }
+    // if the tumor shape is cylindrical it should be set to false, otherwise it
+    // should be set to true
+    diffuse_glucose_on_z_axis = (tumor_shape != TumorShape::kCylinder);
   }
 
   load_double("cell_repulsion_between_tumor_tumor",
@@ -279,11 +302,13 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
   load_double("oxygen_limit_for_proliferation", oxygen_limit_for_proliferation);
   load_double("glucose_saturation_for_tumor_cell_growth",
               glucose_saturation_for_tumor_cell_growth);
-  load_double("glucose_limit_for_tumor_cell_growth", glucose_limit_for_tumor_cell_growth);
+  load_double("glucose_limit_for_tumor_cell_growth",
+              glucose_limit_for_tumor_cell_growth);
   load_double("oxygen_limit_for_necrosis", oxygen_limit_for_necrosis);
   load_double("oxygen_limit_for_necrosis_maximum",
               oxygen_limit_for_necrosis_maximum);
-  load_double("maximum_necrosis_lack_of_oxygen_rate", maximum_necrosis_lack_of_oxygen_rate);
+  load_double("maximum_necrosis_lack_of_oxygen_rate",
+              maximum_necrosis_lack_of_oxygen_rate);
   load_double("glucose_limit_for_death", glucose_limit_for_death);
   load_double("glucose_limit_for_death_maximum",
               glucose_limit_for_death_maximum);
@@ -292,7 +317,6 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
   load_double("basal_death_probability_cancer_cells",
               basal_death_probability_cancer_cells);
   load_double("time_lysis", time_lysis);
-  
 
   load_double("default_oxygen_consumption_tumor_cell",
               default_oxygen_consumption_tumor_cell);
@@ -312,7 +336,7 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
               standard_deviation_transformation_random_rate);
   load_double("minimum_tumor_cell_target_volume_fraction_for_division",
               minimum_tumor_cell_target_volume_fraction_for_division);
-  
+
   load_double("adhesion_time", adhesion_time);
   load_double("oncoprotein_limit", oncoprotein_limit);
   load_double("oncoprotein_saturation", oncoprotein_saturation);
@@ -394,14 +418,13 @@ else { bound_space_toplogy = Param::BoundSpaceMode::kTorus; Log::Error( "SimPara
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances);
 
   // Squared max allowed radius
-  bounded_space_max_allowed_radius_squared = bounded_space_max_allowed_radius * bounded_space_max_allowed_radius;
+  bounded_space_max_allowed_radius_squared =
+      bounded_space_max_allowed_radius * bounded_space_max_allowed_radius;
 
   // Probability of a CAR-T cell to migrate in a given
   // mechanical time step
   motility_probability_cart =
-    (persistence_time_cart == 0)
-        ? 1.0
-        : dt_mechanics / persistence_time_cart;
+      (persistence_time_cart == 0) ? 1.0 : dt_mechanics / persistence_time_cart;
   // Probability of a Tumor cell to escape in a given
   // mechanical time step
   probability_escape_from_cart =
@@ -455,13 +478,41 @@ void SimParam::PrintParams() const {
             << (output_performance_statistics ? "true" : "false") << "\n";
   std::cout << "Total simulation time in minutes (30 days): "
             << total_minutes_to_simulate << "\n";
-switch (tumor_shape) { case TumorShape::kSphere: std::cout << "Tumor shape: 'sphere' \n"; std::cout << "Initial radius of the spherical tumor (micrometers): " << initial_spherical_tumor_radius << "\n"; break; case TumorShape::kCylinder: std::cout << "Tumor shape: 'cylinder' \n"; std::cout << "Initial radius of the cylindrical tumor (micrometers): " << cylindrical_tumor_radius << "\n"; std::cout << "Initial height of the cylindrical tumor (micrometers): " << cylindrical_tumor_height << "\n"; std::cout << "Min allowed Z coordinate for cells (micrometers): " << bounded_space_min_allowed_z << "\n"; std::cout << "Max allowed Z coordinate for cells (micrometers): " << bounded_space_max_allowed_z << "\n"; std::cout << "Max allowed radius for cells (micrometers): " << bounded_space_max_allowed_radius << "\n"; std::cout << "Initial number of cylindrical tumor cells: " << initial_number_of_cylindrical_tumor_cells << "\n"; break; }
+  switch (tumor_shape) {
+    case TumorShape::kSphere:
+      std::cout << "Tumor shape: 'sphere' \n";
+      std::cout << "Initial radius of the spherical tumor (micrometers): "
+                << initial_spherical_tumor_radius << "\n";
+      break;
+    case TumorShape::kCylinder:
+      std::cout << "Tumor shape: 'cylinder' \n";
+      std::cout << "Initial radius of the cylindrical tumor (micrometers): "
+                << cylindrical_tumor_radius << "\n";
+      std::cout << "Initial height of the cylindrical tumor (micrometers): "
+                << cylindrical_tumor_height << "\n";
+      std::cout << "Min allowed Z coordinate for cells (micrometers): "
+                << bounded_space_min_allowed_z << "\n";
+      std::cout << "Max allowed Z coordinate for cells (micrometers): "
+                << bounded_space_max_allowed_z << "\n";
+      std::cout << "Max allowed radius for cells (micrometers): "
+                << bounded_space_max_allowed_radius << "\n";
+      std::cout << "Initial number of cylindrical tumor cells: "
+                << initial_number_of_cylindrical_tumor_cells << "\n";
+      break;
+  }
   std::cout << "Length of the bounded space (micrometers): "
             << bounded_space_length << "\n\n";
-switch (bound_space_toplogy) { case Param::BoundSpaceMode::kTorus: std::cout << "Bound space topology: 'torus' \n"; break; 
-case Param::BoundSpaceMode::kOpen: std::cout << "Bounded space topology: 'open' \n"; break; 
-case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'closed' \n"; break; }
-
+  switch (bound_space_toplogy) {
+    case Param::BoundSpaceMode::kTorus:
+      std::cout << "Bound space topology: 'torus' \n";
+      break;
+    case Param::BoundSpaceMode::kOpen:
+      std::cout << "Bounded space topology: 'open' \n";
+      break;
+    case Param::BoundSpaceMode::kClosed:
+      std::cout << "Bounded space topology: 'closed' \n";
+      break;
+  }
 
   /// Treatment Dosages
   std::cout << "/// Treatment Dosages\n";
@@ -487,13 +538,14 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
   std::cout << "General time step for the simulation: " << dt_step << "\n";
   std::cout << "Output CSV interval: " << output_csv_interval << "\n\n";
   std::cout << "Output information dependent on radius: "
-            << (output_information_dependent_on_radius ? "true"
-                                                                   : "false")
+            << (output_information_dependent_on_radius ? "true" : "false")
             << "\n\n";
   if (output_information_dependent_on_radius) {
-    std::cout << "Number of radius intervals to output the agregated information CSV: "
+    std::cout << "Number of radius intervals to output the agregated "
+                 "information CSV: "
               << num_radius_intervals << "\n\n";
-    std::cout << "Maximum radius for the analysis of information dependent on radius: "
+    std::cout << "Maximum radius for the analysis of information dependent on "
+                 "radius: "
               << max_radius_analysis_csv_dependent_on_radius << "\n\n";
   }
 
@@ -517,14 +569,18 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
   std::cout << "///\n\n";
   std::cout << "Number of voxels per axis for the substances grid: "
             << resolution_grid_substances << "\n";
-  std::cout << "Minimum initial z-coordinate for substances values different than 0 (micrometers): "
+  std::cout << "Minimum initial z-coordinate for substances values different "
+               "than 0 (micrometers): "
             << min_initial_z_substances << "\n";
-  std::cout << "Maximum initial z-coordinate for substances values different than 0 (micrometers): "
+  std::cout << "Maximum initial z-coordinate for substances values different "
+               "than 0 (micrometers): "
             << max_initial_z_substances << "\n";
-  std::cout << "Minimum z-coordinate for lateral oxygen production (micrometers): "
-            << lateral_oxygen_production_min_z << "\n";
-  std::cout << "Maximum z-coordinate for lateral oxygen production (micrometers): "
-            << lateral_oxygen_production_max_z << "\n";
+  std::cout
+      << "Minimum z-coordinate for lateral oxygen production (micrometers): "
+      << lateral_oxygen_production_min_z << "\n";
+  std::cout
+      << "Maximum z-coordinate for lateral oxygen production (micrometers): "
+      << lateral_oxygen_production_max_z << "\n";
   std::cout << "Whether to diffuse oxygen on the z-axis: "
             << (diffuse_oxygen_on_z_axis ? "true" : "false") << "\n";
   std::cout << "Whether to diffuse immunostimulatory factor on the z-axis: "
@@ -540,19 +596,19 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
             << oxygen_reference_level << "\n";
   std::cout << "Initial oxygen concentration in each voxel (mmHg): "
             << initial_oxygen_level << "\n";
-  std::cout << "Whether to add immunostimulatory factor: " <<
-            (add_immunostimulatory_factor ? "true" : "false") << "\n";
+  std::cout << "Whether to add immunostimulatory factor: "
+            << (add_immunostimulatory_factor ? "true" : "false") << "\n";
   std::cout << "Diffusion coefficient of immunostimulatory factor (μm²/min): "
             << diffusion_coefficient_immunostimulatory_factor << "\n";
   std::cout << "Decay constant of immunostimulatory factor (min⁻¹): "
             << decay_constant_immunostimulatory_factor << "\n";
-  std::cout << "Whether to add glucose: " <<
-            (add_glucose ? "true" : "false") << "\n";
+  std::cout << "Whether to add glucose: " << (add_glucose ? "true" : "false")
+            << "\n";
   std::cout << "Diffusion coefficient of glucose (μm²/min): "
             << diffusion_coefficient_glucose << "\n";
-  std::cout << "Decay constant of glucose (min⁻¹): " 
-            << decay_constant_glucose << "\n";
-  std::cout << "Initial glucose concentration in each voxel (mM): " 
+  std::cout << "Decay constant of glucose (min⁻¹): " << decay_constant_glucose
+            << "\n";
+  std::cout << "Initial glucose concentration in each voxel (mM): "
             << initial_glucose_level << "\n\n";
   std::cout << "Maximum radius for glucose initialization (micrometers): "
             << max_radius_glucose_initialization << "\n\n";
@@ -631,7 +687,7 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
             << glucose_limit_for_death_maximum << "\n";
   std::cout << "Maximum rate per minute of death for tumor cells: "
             << maximum_death_lack_of_glucose_rate << "\n";
-  
+
   std::cout << "Default oxygen consumption rate of tumor cell: "
             << default_oxygen_consumption_tumor_cell << "\n";
   std::cout << "Default glucose consumption rate of tumor cell: "
@@ -640,8 +696,9 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new tumor cell (μm³): "
             << default_volume_new_tumor_cell << "\n";
-  std::cout << "Standard deviation of the total volume of a new tumor cell (μm³): "
-            << std_volume_new_tumor_cell << "\n";
+  std::cout
+      << "Standard deviation of the total volume of a new tumor cell (μm³): "
+      << std_volume_new_tumor_cell << "\n";
   std::cout << "Maximum total volume of a new tumor cell (μm³): "
             << max_volume_new_tumor_cell << "\n";
   std::cout << "Minimum total volume of a new tumor cell (μm³): "
@@ -717,14 +774,15 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
             << average_maximum_time_until_apoptosis_cart << "\n";
   std::cout << "Default oxygen consumption rate of CAR-T cell: "
             << default_oxygen_consumption_cart << "\n";
-  std::cout << "Default glucose consumption rate of CAR-T cell: " 
+  std::cout << "Default glucose consumption rate of CAR-T cell: "
             << default_glucose_consumption_cart << "\n";
 
   std::cout << "\nVolume parameters:\n";
   std::cout << "Default total volume of a new CAR-T cell (μm³): "
             << default_volume_new_cart_cell << "\n";
-  std::cout << "Standard deviation of the total volume of a new CAR-T cell (μm³): "
-            << std_volume_new_cart_cell << "\n";
+  std::cout
+      << "Standard deviation of the total volume of a new CAR-T cell (μm³): "
+      << std_volume_new_cart_cell << "\n";
   std::cout << "Maximum total volume of a new CAR-T cell (μm³): "
             << max_volume_new_cart_cell << "\n";
   std::cout << "Minimum total volume of a new CAR-T cell (μm³): "
@@ -756,10 +814,11 @@ case Param::BoundSpaceMode::kClosed: std::cout << "Bounded space topology: 'clos
   std::cout << "\nMotility parameters:\n";
   std::cout << "Average persistence time before CAR-T cell moves: "
             << persistence_time_cart << "\n";
-  std::cout << "Average Migration bias (higher values = more directed movement): "
-            << avg_migration_bias_cart << "\n";
-  std::cout << "Standard deviation migration bias: "
-            << std_migration_bias_cart << "\n";
+  std::cout
+      << "Average Migration bias (higher values = more directed movement): "
+      << avg_migration_bias_cart << "\n";
+  std::cout << "Standard deviation migration bias: " << std_migration_bias_cart
+            << "\n";
   std::cout << "Migration speed: " << migration_speed_cart << "\n";
   std::cout << "Elastic constant: " << elastic_constant_cart << "\n\n";
 
diff --git a/src/params/hyperparams.h b/src/params/hyperparams.h
index 2f619b7..b8d4009 100644
--- a/src/params/hyperparams.h
+++ b/src/params/hyperparams.h
@@ -22,8 +22,8 @@
 #ifndef TUMOR_HYPERPARAMS_H_
 #define TUMOR_HYPERPARAMS_H_
 
-#include "core/param/param_group.h"
 #include "core/param/param.h"
+#include "core/param/param_group.h"
 #include "core/real_t.h"
 #include "core/util/math.h"
 #include <cmath>
@@ -80,7 +80,8 @@ struct SimParam : public ParamGroup {
   /// Total simulation time in minutes (30 days by default)
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int total_minutes_to_simulate = 43200;
-  /// Bounded space topology for the boundaries it can be "open", "torus" or "closed" (see BioDynaMo documentation for more information)
+  /// Bounded space topology for the boundaries it can be "open", "torus" or
+  /// "closed" (see BioDynaMo documentation for more information)
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   Param::BoundSpaceMode bound_space_toplogy = Param::BoundSpaceMode::kTorus;
   /// Length of the bounded space in micrometers
@@ -101,13 +102,20 @@ struct SimParam : public ParamGroup {
   /// Initial height of the cylindrical tumor in micrometers
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t cylindrical_tumor_height = 100;
-  /// Min allowed Z coordinate for cells in cylindrical tumors with phisical barriers. By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  /// Min allowed Z coordinate for cells in cylindrical tumors with phisical
+  /// barriers. By default it is automatically set to -bounded_space_length/2 to
+  /// avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_min_allowed_z = -500;
-  /// Max allowed Z coordinate for cells in cylindrical tumors with phisical barriers. By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
+  /// Max allowed Z coordinate for cells in cylindrical tumors with phisical
+  /// barriers. By default it is automatically set to bounded_space_length/2 to
+  /// avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_max_allowed_z = 500;
-  /// Max allowed radius for cells meassured from the center of the tumor and considering the z-coordinate depending wether it has a cylindrical or spherical shape.  By default it is automatically set to bounded_space_length to avoid any restrictions.
+  /// Max allowed radius for cells meassured from the center of the tumor and
+  /// considering the z-coordinate depending wether it has a cylindrical or
+  /// spherical shape.  By default it is automatically set to
+  /// bounded_space_length to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t bounded_space_max_allowed_radius = 1000;
   /// Initial number of cylindrical tumor cells
@@ -144,13 +152,19 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int output_csv_interval = 7200;
 
-  /// Outputs an additional CSV with information dependent on the radius of the tumor if the tumor is spherical its from its center point and if it is cylindrical its from the axis of the cylinder
+  /// Outputs an additional CSV with information dependent on the radius of the
+  /// tumor if the tumor is spherical its from its center point and if it is
+  /// cylindrical its from the axis of the cylinder
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   bool output_information_dependent_on_radius = false;
   /// Maximum radius for the analysis of information dependent on radius
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t max_radius_analysis_csv_dependent_on_radius = 3000;
-  /// Number of radius intervals to output the agregated information CSV. The concatenation of the intervals goes from 0 (the center of the tumor) to max_radius_analysis_csv_dependent_on_radius. The number of intervals is used to divide the radius into equal parts and output the agregated information for each interval.
+  /// Number of radius intervals to output the agregated information CSV. The
+  /// concatenation of the intervals goes from 0 (the center of the tumor) to
+  /// max_radius_analysis_csv_dependent_on_radius. The number of intervals is
+  /// used to divide the radius into equal parts and output the agregated
+  /// information for each interval.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int num_radius_intervals = 10;
 
@@ -173,43 +187,59 @@ struct SimParam : public ParamGroup {
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   int resolution_grid_substances = 50;
 
-  /// Minimum height (μm) at which the substances grid is initialized to a value different from 0. Heights are expressed in the simulation coordinate system,
-  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2  By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  /// Minimum height (μm) at which the substances grid is initialized to a value
+  /// different from 0. Heights are expressed in the simulation coordinate
+  /// system, where the domain extends from -bounded_space_length / 2 to
+  /// +bounded_space_length / 2  By default it is automatically set to
+  /// -bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t min_initial_z_substances = -500;
-  /// Maximum height (μm) at which the substances grid is initialized to a value different from 0. Heights are expressed in the simulation coordinate system,
-  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2  By default it is automatically set to +bounded_space_length/2 to avoid any restrictions.
+  /// Maximum height (μm) at which the substances grid is initialized to a value
+  /// different from 0. Heights are expressed in the simulation coordinate
+  /// system, where the domain extends from -bounded_space_length / 2 to
+  /// +bounded_space_length / 2  By default it is automatically set to
+  /// +bounded_space_length/2 to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t max_initial_z_substances = 500;
 
   /// Minimum height (μm) at which lateral Dirichlet oxygen boundary conditions
   /// are applied. Heights are expressed in the simulation coordinate system,
-  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
-  /// along the z-axis. Setting this value equal to the minimum domain height
-  /// (-bounded_space_length / 2) causes the floor boundary (z = -bounded_space_length / 2)
-  /// to also act as an oxygen-producing Dirichlet boundary.  By default it is automatically set to -bounded_space_length/2 to avoid any restrictions.
+  /// where the domain extends from -bounded_space_length / 2 to
+  /// +bounded_space_length / 2 along the z-axis. Setting this value equal to
+  /// the minimum domain height
+  /// (-bounded_space_length / 2) causes the floor boundary (z =
+  /// -bounded_space_length / 2) to also act as an oxygen-producing Dirichlet
+  /// boundary.  By default it is automatically set to -bounded_space_length/2
+  /// to avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_min_z = -500.0;
   /// Maximum height (μm) at which lateral Dirichlet oxygen boundary conditions
   /// are applied. Heights are expressed in the simulation coordinate system,
-  /// where the domain extends from -bounded_space_length / 2 to +bounded_space_length / 2
-  /// along the z-axis. Setting this value equal to the maximum domain height
-  /// (+bounded_space_length / 2) causes the roof boundary (z = +bounded_space_length / 2)
-  /// to also act as an oxygen-producing Dirichlet boundary.  By default it is automatically set to bounded_space_length/2 to avoid any restrictions.
+  /// where the domain extends from -bounded_space_length / 2 to
+  /// +bounded_space_length / 2 along the z-axis. Setting this value equal to
+  /// the maximum domain height
+  /// (+bounded_space_length / 2) causes the roof boundary (z =
+  /// +bounded_space_length / 2) to also act as an oxygen-producing Dirichlet
+  /// boundary.  By default it is automatically set to bounded_space_length/2 to
+  /// avoid any restrictions.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t lateral_oxygen_production_max_z = 500.0;
-  /// Wether the Thomas algortithm should also diffuse the oxygen Chemical in the z-axis or not. 
-  /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
+  /// Wether the Thomas algortithm should also diffuse the oxygen Chemical in
+  /// the z-axis or not. If false, the diffusion will only be done in the x and
+  /// y axis, ideal for a 2D model
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   bool diffuse_oxygen_on_z_axis = true;
-  /// Wether the Thomas algortithm should also diffuse the immunostimulatory_factor Chemical in the z-axis or not.
-    /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
-  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-    bool diffuse_immunostimulatory_factor_on_z_axis = true;
-  /// Wether the Thomas algortithm should also diffuse the glucose Chemical in the z-axis or not. By default it will be true if the tumor shape is spherical and false if the tumor shape is cylindrical.
-    /// If false, the diffusion will only be done in the x and y axis, ideal for a 2D model
-    // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
-    bool diffuse_glucose_on_z_axis = true;
+  /// Wether the Thomas algortithm should also diffuse the
+  /// immunostimulatory_factor Chemical in the z-axis or not. If false, the
+  /// diffusion will only be done in the x and y axis, ideal for a 2D model
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_immunostimulatory_factor_on_z_axis = true;
+  /// Wether the Thomas algortithm should also diffuse the glucose Chemical in
+  /// the z-axis or not. By default it will be true if the tumor shape is
+  /// spherical and false if the tumor shape is cylindrical. If false, the
+  /// diffusion will only be done in the x and y axis, ideal for a 2D model
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+  bool diffuse_glucose_on_z_axis = true;
   /// Diffusion coefficient of oxygen in μm²/min
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t diffusion_coefficient_oxygen = 100000;
@@ -243,9 +273,15 @@ struct SimParam : public ParamGroup {
   /// Initial glucose concentration in each voxel in mmol/L
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t initial_glucose_level = 24.98;
-  /// Maximum radius for glucose initialization in micrometers. If the tumor is spherical, the glucose will be initialized in a sphere of this radius. If the tumor is cylindrical, the glucose will be initialized in a cylinder of this radius. Outside of this radius, the glucose will be initialized to 0. By default it is set to the bounded_space_length to avoid any restrictions.
+  /// Maximum radius for glucose initialization in micrometers. If the tumor is
+  /// spherical, the glucose will be initialized in a sphere of this radius. If
+  /// the tumor is cylindrical, the glucose will be initialized in a cylinder of
+  /// this radius. Outside of this radius, the glucose will be initialized to 0.
+  /// By default it is set to the bounded_space_length to avoid any
+  /// restrictions.
+  // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t max_radius_glucose_initialization = 1000;
-  
+
   /// Forces
   ///  Repulsion coeficient between tumor cells
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
@@ -315,10 +351,12 @@ struct SimParam : public ParamGroup {
   /// Oxygen saturation level in tumor cells for proliferation
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t oxygen_saturation_for_proliferation = 38;
-  /// Glucose saturation level in tumor cells for cell growth: it affects plorifereation since if cells are not big enough they will not divide
+  /// Glucose saturation level in tumor cells for cell growth: it affects
+  /// plorifereation since if cells are not big enough they will not divide
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t glucose_saturation_for_tumor_cell_growth = 0;
-  /// Limit of glucose level for tumor cell growth: it affects plorifereation since if cells are not big enough they will not divide
+  /// Limit of glucose level for tumor cell growth: it affects plorifereation
+  /// since if cells are not big enough they will not divide
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t glucose_limit_for_tumor_cell_growth = 0;
   /// Limit of oxygen level for tumor cell proliferation
@@ -340,11 +378,12 @@ struct SimParam : public ParamGroup {
   /// Limit of glucose to maximum cell death probability
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t glucose_limit_for_death_maximum = 0;
-  /// Maximum rate per minute of cell death for tumor cells in case of lack of nutrients
-  /// with glucose_limit_for_death_maximum glucose
+  /// Maximum rate per minute of cell death for tumor cells in case of lack of
+  /// nutrients with glucose_limit_for_death_maximum glucose
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t maximum_death_lack_of_glucose_rate = 0.0;
-  /// Basal cell death probability for cancer cells per minute: death due to natural random causes
+  /// Basal cell death probability for cancer cells per minute: death due to
+  /// natural random causes
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t basal_death_probability_cancer_cells = 0.0;
   /// Time in minutes until a lysed necrotic cell is removed from the simulation
@@ -369,7 +408,8 @@ struct SimParam : public ParamGroup {
   /// Minimum volume of a tumor cell in μm³
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t min_volume_new_tumor_cell = 2494;
-  /// Default fraction of volume of the nucleus of a tumor cell. It is the target fraction and the fraction a new born tumor cell will have
+  /// Default fraction of volume of the nucleus of a tumor cell. It is the
+  /// target fraction and the fraction a new born tumor cell will have
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t default_fraction_of_volume_for_nucleus_tumor_cell = 0.21652;
   /// Default fraction of fluid volume in a new tumor cell
@@ -381,7 +421,9 @@ struct SimParam : public ParamGroup {
   /// Standard Deviation for transformation Random Rate in hours
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t standard_deviation_transformation_random_rate = 3.7;
-  /// Minimum tumor cell volume for division. If the tumor cell volume is below this value times the target volume, it will not divide. This is used to avoid division of tumor cells that are too small due to lack of nutrients.
+  /// Minimum tumor cell volume for division. If the tumor cell volume is below
+  /// this value times the target volume, it will not divide. This is used to
+  /// avoid division of tumor cells that are too small due to lack of nutrients.
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t minimum_tumor_cell_target_volume_fraction_for_division = 0.0;
   /// Average adhesion time in minutes for Tumor Cell under CAR-T attack before
@@ -488,16 +530,16 @@ struct SimParam : public ParamGroup {
   /// Average persistence time before CAR-T cell moves
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t persistence_time_cart = 10;  // 10 minutes
-  /// Average migration bias of CAR-T cells. Higher bias (\in [0,1]) makes CAR-T movement more directed toward
-  /// immunostimulatory factor source; while a bias of 0 makes the movement
-  /// random
+  /// Average migration bias of CAR-T cells. Higher bias (\in [0,1]) makes CAR-T
+  /// movement more directed toward immunostimulatory factor source; while a
+  /// bias of 0 makes the movement random
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t avg_migration_bias_cart = 0.5;
-  ///Standard deviation of the migration bias for CAR-T cells. Higher values make the migration bias more variable among CAR-T cells
+  /// Standard deviation of the migration bias for CAR-T cells. Higher values
+  /// make the migration bias more variable among CAR-T cells
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t std_migration_bias_cart = 0.0;
 
-
   /// Migration speed
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   real_t migration_speed_cart = 5;
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index b9b29b4..8e77bac 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -31,6 +31,7 @@
 #include "core/resource_manager.h"
 #include "core/scheduler.h"
 #include "core/simulation.h"
+#include "core/util/log.h"
 #include "core/util/math.h"
 #include "core/util/random.h"
 #include <cmath>
@@ -97,41 +98,53 @@ std::vector<Real3> CreateSphereOfTumorCells(real_t sphere_radius) {
   return positions;
 }
 
-/// Create a cylindrical arrangement of tumor cells randomly distributed within its volume
-std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cylinder_height, size_t number_of_cells) {
-  
+/// Create a cylindrical arrangement of tumor cells randomly distributed within
+/// its volume
+std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius,
+                                              real_t cylinder_height,
+                                              size_t number_of_cells) {
   std::vector<Real3> positions;
   positions.reserve(number_of_cells);
 
   Random* random = Simulation::GetActive()->GetRandom();
 
   for (size_t i = 0; i < number_of_cells; ++i) {
-    // sqrt ensures uniform distribution over the disk area (area element = r dr dθ)
-    real_t angle  = random->Uniform(0.0, kTwicePi);
-    real_t radius = cylinder_radius * std::sqrt(random->Uniform(0.0, 1.0));
-    real_t height = random->Uniform(-cylinder_height / 2.0, cylinder_height / 2.0);
-
-    positions.push_back({radius * std::cos(angle),
-                         radius * std::sin(angle),
-                         height});
+    // sqrt ensures uniform distribution over the disk area (area element = r dr
+    // dθ)
+    const real_t angle = random->Uniform(0.0, kTwicePi);
+    const real_t radius =
+        cylinder_radius * std::sqrt(random->Uniform(0.0, 1.0));
+    // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
+    const real_t height =
+        random->Uniform(-cylinder_height / 2.0, cylinder_height / 2.0);
+
+    positions.push_back(
+        {radius * std::cos(angle), radius * std::sin(angle), height});
   }
 
   return positions;
 }
 
 // Function to compute the number of tumor cells of each type, the radius of the
-// tumor, the number of alive and dead cart cells, the average oncoprotein level, the average oxygen level of the
-// cancer cells, the average oxygen level of all cells, the average glucose level of the cancer cells, the average glucose level of all cells and the average radius distance from the center of the tumor of the living cart cells. Only considering cells within the specified inner and outer radius.
-std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t, real_t, real_t, real_t>
+// tumor, the number of alive and dead cart cells, the average oncoprotein
+// level, the average oxygen level of the cancer cells, the average oxygen level
+// of all cells, the average glucose level of the cancer cells, the average
+// glucose level of all cells and the average radius distance from the center of
+// the tumor of the living cart cells. Only considering cells within the
+// specified inner and outer radius.
+std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t,
+           real_t, real_t, real_t, real_t, real_t, real_t, real_t>
+// NOLINTNEXTLINE(readability-function-cognitive-complexity)
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
-  real_t inner_radius_squared = inner_radius_considered * inner_radius_considered;
-  real_t outer_radius_squared = outer_radius_considered * outer_radius_considered;
-  
+  real_t inner_radius_squared =
+      inner_radius_considered * inner_radius_considered;
+  real_t outer_radius_squared =
+      outer_radius_considered * outer_radius_considered;
+
   Simulation* sim = Simulation::GetActive();
   ResourceManager* rm = sim->GetResourceManager();
   DiffusionGrid* oxygen_dgrid = rm->GetDiffusionGrid("oxygen");
-  const auto* sparams = sim->GetParam()->Get<SimParam>(); 
+  const auto* sparams = sim->GetParam()->Get<SimParam>();
 
   // Pointer to glucose diffusion grid only if it is added in the simulation
   DiffusionGrid* glucose_dgrid = nullptr;
@@ -156,37 +169,37 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t acumulator_glucose_all_cells = 0.0;
   real_t acumulator_squared_radius_distance_living_cart_cells = 0.0;
 
-  TumorShape tumor_shape= sparams->tumor_shape;
+  TumorShape tumor_shape = sparams->tumor_shape;
 
   rm->ForEachAgent([&](const Agent* agent) {
     // Compute the distance to the center depending on the tumor shape
     const Real3& pos = agent->GetPosition();
     real_t dist_sq = 0.0;
-switch (tumor_shape)
-        {
-       case TumorShape::kCylinder:{ 
-          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-          dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
-          break;
-        }
-        case TumorShape::kSphere:{
-          // Consider all three dimensions for spherical radius
-          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];   
-          break;
-        }
-        default:
-      Log::Error("AnalyzeTumor", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-      break;
-    } 
+    switch (tumor_shape) {
+      case TumorShape::kCylinder: {
+        // Only consider x and y for cylindrical rumor, distance to the axis of
+        // the cylinder
+        dist_sq = pos[0] * pos[0] + pos[1] * pos[1];
+        break;
+      }
+      case TumorShape::kSphere: {
+        // Consider all three dimensions for spherical radius
+        dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];
+        break;
+      }
+      default:
+        Log::Error("AnalyzeTumor",
+                   "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+        break;
+    }
 
-    //If the cell is outside the considered radius range, skip it
+    // If the cell is outside the considered radius range, skip it
     if (dist_sq < inner_radius_squared || dist_sq >= outer_radius_squared) {
       return;
     }
 
     // The agent is within the considered radius range, analyze it
     if (const auto* tumor_cell = dynamic_cast<const TumorCell*>(agent)) {
-
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
 
@@ -195,7 +208,7 @@ switch (tumor_shape)
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_cancer_cells += oxygen_dgrid->GetValue(pos);
 
-      if (glucose_dgrid!= nullptr) {
+      if (glucose_dgrid != nullptr) {
         // Accumulate glucose level for average calculation
         acumulator_glucose_all_cells += glucose_dgrid->GetValue(pos);
         acumulator_glucose_cancer_cells += glucose_dgrid->GetValue(pos);
@@ -234,7 +247,7 @@ switch (tumor_shape)
     } else if (const auto* cart_cell = dynamic_cast<const CarTCell*>(agent)) {
       // Accumulate oxygen level for average calculation
       acumulator_oxygen_all_cells += oxygen_dgrid->GetValue(pos);
-      if (glucose_dgrid!= nullptr) {
+      if (glucose_dgrid != nullptr) {
         // Accumulate glucose level for average calculation
         acumulator_glucose_all_cells += glucose_dgrid->GetValue(pos);
       }
@@ -242,7 +255,7 @@ switch (tumor_shape)
         num_alive_cart++;
         acumulator_squared_radius_distance_living_cart_cells += dist_sq;
       } else if (cart_cell->GetState() == CarTCellState::kApoptotic) {
-        //Dead CART cell
+        // Dead CART cell
         num_dead_cart++;
       }
     }
@@ -256,29 +269,44 @@ switch (tumor_shape)
       (total_num_tumor_cells > 0)
           ? (acumulator_oxygen_cancer_cells / total_num_tumor_cells)
           : 0.0;
-          
+
   const real_t average_oxygen_all_cells =
       (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0)
-          ? (acumulator_oxygen_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
+          ? (acumulator_oxygen_all_cells /
+             (total_num_tumor_cells + num_alive_cart + num_dead_cart))
           : 0.0;
   const real_t average_glucose_cancer_cells =
       (total_num_tumor_cells > 0 && glucose_dgrid != nullptr)
           ? (acumulator_glucose_cancer_cells / total_num_tumor_cells)
           : 0.0;
   const real_t average_glucose_all_cells =
-      (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0 && glucose_dgrid != nullptr)
-          ? (acumulator_glucose_all_cells / (total_num_tumor_cells + num_alive_cart + num_dead_cart))
+      (total_num_tumor_cells + num_alive_cart + num_dead_cart > 0 &&
+       glucose_dgrid != nullptr)
+          ? (acumulator_glucose_all_cells /
+             (total_num_tumor_cells + num_alive_cart + num_dead_cart))
           : 0.0;
 
   const real_t average_radius_distance_living_cart_cells =
-      (num_alive_cart > 0) ? std::sqrt(acumulator_squared_radius_distance_living_cart_cells / num_alive_cart) : 0.0;
-  
-  return {total_num_tumor_cells, num_tumor_cells_type1,
-          num_tumor_cells_type2, num_tumor_cells_type3,
-          num_tumor_cells_type4, num_tumor_cells_type5_dead,
-          num_alive_cart, num_dead_cart, std::sqrt(max_dist_sq),
-          average_oncoprotein,   average_oxygen_cancer_cells, average_oxygen_all_cells,
-          average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells};
+      (num_alive_cart > 0)
+          ? std::sqrt(acumulator_squared_radius_distance_living_cart_cells /
+                      num_alive_cart)
+          : 0.0;
+
+  return {total_num_tumor_cells,
+          num_tumor_cells_type1,
+          num_tumor_cells_type2,
+          num_tumor_cells_type3,
+          num_tumor_cells_type4,
+          num_tumor_cells_type5_dead,
+          num_alive_cart,
+          num_dead_cart,
+          std::sqrt(max_dist_sq),
+          average_oncoprotein,
+          average_oxygen_cancer_cells,
+          average_oxygen_all_cells,
+          average_glucose_cancer_cells,
+          average_glucose_all_cells,
+          average_radius_distance_living_cart_cells};
 }
 
 // Function to output summary CSV
@@ -290,7 +318,8 @@ void OutputSummary::operator()() {
 
   if (current_step % frequency_ == 0) {
     // Calculate time in days, hours, minutes
-    const double total_minutes = static_cast<double>(current_step) * sparams->dt_step;
+    const double total_minutes =
+        static_cast<double>(current_step) * sparams->dt_step;
     const double total_hours = total_minutes / kMinutesInAnHour;
     const double total_days = total_hours / kHoursInADay;
 
@@ -303,10 +332,13 @@ void OutputSummary::operator()() {
             << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
                "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
                "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_"
-               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_cells,average_oxygen_all_cells,average_glucose_cancer_cells,average_glucose_all_cells,average_radius_distance_living_cart_cells\n";  // Header
-                                                                          // for
-                                                                          // CSV
-                                                                          // file
+               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_"
+               "cells,average_oxygen_all_cells,average_glucose_cancer_cells,"
+               "average_glucose_all_cells,average_radius_distance_living_cart_"
+               "cells\n";  // Header
+                           // for
+                           // CSV
+                           // file
       }
 
       // Count total cells, tumor cells of each type and tumor radius
@@ -330,7 +362,10 @@ void OutputSummary::operator()() {
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
                num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-               average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells) = AnalyzeTumor(0, sparams->bounded_space_length);
+               average_oxygen_cancer_cells, average_oxygen_all_cells,
+               average_glucose_cancer_cells, average_glucose_all_cells,
+               average_radius_distance_living_cart_cells) =
+          AnalyzeTumor(0, sparams->bounded_space_length);
       size_t total_num_cells = simulation->GetResourceManager()->GetNumAgents();
 
       // If a dosage is administred this exact time the numbers are not seen in
@@ -353,49 +388,75 @@ void OutputSummary::operator()() {
            << total_num_tumor_cells << "," << num_tumor_cells_type1 << ","
            << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
-           << num_alive_cart << ","<< num_dead_cart << "," << average_oncoprotein << ","
-           << average_oxygen_cancer_cells << "," << average_oxygen_all_cells << "," 
-           << average_glucose_cancer_cells << "," << average_glucose_all_cells << ","<<average_radius_distance_living_cart_cells<< "\n";
+           << num_alive_cart << "," << num_dead_cart << ","
+           << average_oncoprotein << "," << average_oxygen_cancer_cells << ","
+           << average_oxygen_all_cells << "," << average_glucose_cancer_cells
+           << "," << average_glucose_all_cells << ","
+           << average_radius_distance_living_cart_cells << "\n";
     }
 
     if (sparams->output_information_dependent_on_radius) {
-      OutputInformationBasedOnRadiusCSV(current_step, total_minutes, total_hours, total_days);
+      OutputInformationBasedOnRadiusCSV(current_step, total_minutes,
+                                        total_hours, total_days);
     }
   }
 }
 
 // Function to output information based on radius to CSV
-void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t total_minutes, const real_t total_hours, const real_t total_days) {
+void OutputInformationBasedOnRadiusCSV(const uint64_t current_step,
+                                       const real_t total_minutes,
+                                       const real_t total_hours,
+                                       const real_t total_days) {
   const Simulation* simulation = Simulation::GetActive();
   const auto* sparams = simulation->GetParam()->Get<SimParam>();
-  const real_t interval_size = sparams->max_radius_analysis_csv_dependent_on_radius / sparams->num_radius_intervals;
+  const real_t interval_size =
+      sparams->max_radius_analysis_csv_dependent_on_radius /
+      sparams->num_radius_intervals;
 
   // Delete csv content current_step == 0 to, otherwise append mode
   std::ofstream file("output/data_dependent_on_radius_tumor.csv",
-                      current_step == 0 ? std::ios::trunc : std::ios::app);
+                     current_step == 0 ? std::ios::trunc : std::ios::app);
   if (file.is_open()) {
     if (current_step == 0) {
       // Header for CSV file
       file << "total_days,total_hours,total_minutes";
       for (int i = 0; i < sparams->num_radius_intervals; ++i) {
-        file << ",num_alive_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",num_dead_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",total_num_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",num_alive_tumor_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",total_num_tumor_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",num_alive_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",num_dead_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",tumor_cells_type1_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",tumor_cells_type2_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",tumor_cells_type3_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",tumor_cells_type4_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",tumor_cells_type5_dead_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",average_oncoprotein_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",average_oxygen_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",average_oxygen_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
-        file << ",average_glucose_cancer_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
-        file << ",average_glucose_all_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size; 
-        file << ",average_radius_distance_living_cart_cells_radius_" << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",num_alive_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",num_dead_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",total_num_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",num_alive_tumor_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",total_num_tumor_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",num_alive_cart_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",num_dead_cart_cells_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",tumor_cells_type1_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",tumor_cells_type2_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",tumor_cells_type3_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",tumor_cells_type4_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",tumor_cells_type5_dead_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",average_oncoprotein_radius_" << i * interval_size << "_to_"
+             << (i + 1) * interval_size;
+        file << ",average_oxygen_cancer_cells_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",average_oxygen_all_cells_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",average_glucose_cancer_cells_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",average_glucose_all_cells_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",average_radius_distance_living_cart_cells_radius_"
+             << i * interval_size << "_to_" << (i + 1) * interval_size;
       }
       // End of header line
       file << "\n";
@@ -404,10 +465,8 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
     file << total_days << "," << total_hours << "," << total_minutes;
 
     for (int i = 0; i < sparams->num_radius_intervals; ++i) {
-
-
-      real_t inner_radius_considered = i * interval_size;
-      real_t outer_radius_considered = (i + 1) * interval_size;
+      const real_t inner_radius_considered = i * interval_size;
+      const real_t outer_radius_considered = (i + 1) * interval_size;
 
       // Count total cells, tumor cells of each type and tumor radius
       int total_num_tumor_cells = 0;
@@ -427,40 +486,37 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t
       real_t average_radius_distance_living_cart_cells = 0.0;
       // Analyze tumor with no limits on inner and outer radius
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
-              num_tumor_cells_type2, num_tumor_cells_type3,
-              num_tumor_cells_type4, num_tumor_cells_type5_dead,
-              num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
-              average_oxygen_cancer_cells, average_oxygen_all_cells, average_glucose_cancer_cells, average_glucose_all_cells,average_radius_distance_living_cart_cells) = AnalyzeTumor(inner_radius_considered, outer_radius_considered);
-
-      const int num_alive_tumor_cells = num_tumor_cells_type1 + num_tumor_cells_type2 + num_tumor_cells_type3 + num_tumor_cells_type4;
+               num_tumor_cells_type2, num_tumor_cells_type3,
+               num_tumor_cells_type4, num_tumor_cells_type5_dead,
+               num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
+               average_oxygen_cancer_cells, average_oxygen_all_cells,
+               average_glucose_cancer_cells, average_glucose_all_cells,
+               average_radius_distance_living_cart_cells) =
+          AnalyzeTumor(inner_radius_considered, outer_radius_considered);
+
+      const int num_alive_tumor_cells =
+          num_tumor_cells_type1 + num_tumor_cells_type2 +
+          num_tumor_cells_type3 + num_tumor_cells_type4;
       const int num_alive_cells = num_alive_cart + num_alive_tumor_cells;
       const int num_dead_cells = num_dead_cart + num_tumor_cells_type5_dead;
       const int total_num_cells = num_alive_cells + num_dead_cells;
 
       // Write data to CSV file
-      file << "," << num_alive_cells
-            << "," << num_dead_cells 
-            << "," << total_num_cells
-            << "," << num_alive_tumor_cells
-            << "," << total_num_tumor_cells
-            << "," << num_alive_cart
-            << "," << num_dead_cart
-            << "," << num_tumor_cells_type1
-            << "," << num_tumor_cells_type2
-            << "," << num_tumor_cells_type3
-            << "," << num_tumor_cells_type4
-            << "," << num_tumor_cells_type5_dead
-            << "," << average_oncoprotein
-            << "," << average_oxygen_cancer_cells
-            << "," << average_oxygen_all_cells
-            << "," << average_glucose_cancer_cells
-            << "," << average_glucose_all_cells
-            << "," << average_radius_distance_living_cart_cells;
-    }  
+      file << "," << num_alive_cells << "," << num_dead_cells << ","
+           << total_num_cells << "," << num_alive_tumor_cells << ","
+           << total_num_tumor_cells << "," << num_alive_cart << ","
+           << num_dead_cart << "," << num_tumor_cells_type1 << ","
+           << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
+           << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
+           << average_oncoprotein << "," << average_oxygen_cancer_cells << ","
+           << average_oxygen_all_cells << "," << average_glucose_cancer_cells
+           << "," << average_glucose_all_cells << ","
+           << average_radius_distance_living_cart_cells;
+    }
     // End of line for the current step
     file << "\n";
   }
-}; 
+};
 
 // Function to spawn CAR-T cell dosages
 void SpawnCart::operator()() {
@@ -495,21 +551,23 @@ void SpawnCart::operator()() {
         // Compute the distance to the center depending on the tumor shape
         real_t dist_sq = 0.0;
         const Real3& pos = cancer_cell->GetPosition();
-        switch (tumor_shape)
-        {
-       case TumorShape::kCylinder:{ 
-          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-          dist_sq = pos[0] * pos[0] + pos[1] * pos[1];  
-          break;
-        }
-        case TumorShape::kSphere:{
-          // Consider all three dimensions for spherical radius
-          dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];   
-          break;
-        }
-        default:
-          Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-          break;
+        switch (tumor_shape) {
+          case TumorShape::kCylinder: {
+            // Only consider x and y for cylindrical rumor, distance to the axis
+            // of the cylinder
+            dist_sq = pos[0] * pos[0] + pos[1] * pos[1];
+            break;
+          }
+          case TumorShape::kSphere: {
+            // Consider all three dimensions for spherical radius
+            dist_sq = pos[0] * pos[0] + pos[1] * pos[1] + pos[2] * pos[2];
+            break;
+          }
+          default:
+            Log::Error(
+                "SpawnCart",
+                "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+            break;
         }
         if (dist_sq > max_dist_sq) {
           max_dist_sq = dist_sq;
@@ -547,23 +605,25 @@ void SpawnCart::operator()() {
         px = rng->Uniform(min_b, max_b);
         py = rng->Uniform(min_b, max_b);
         pz = rng->Uniform(min_bz, max_bz);
-        switch (tumor_shape)
-        {
-       case TumorShape::kCylinder:{ 
-          // Only consider x and y for cylindrical rumor, distance to the axis of the cylinder
-          radi_sq = px * px + py * py; 
-          break;
-        }
-        case TumorShape::kSphere:{
-          // Consider all three dimensions for spherical radius
-          radi_sq = px * px + py * py + pz * pz; 
-          break;
-        }
-        default:
-          Log::Error("SpawnCart", "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
-          break;
+        switch (tumor_shape) {
+          case TumorShape::kCylinder: {
+            // Only consider x and y for cylindrical rumor, distance to the axis
+            // of the cylinder
+            radi_sq = px * px + py * py;
+            break;
+          }
+          case TumorShape::kSphere: {
+            // Consider all three dimensions for spherical radius
+            radi_sq = px * px + py * py + pz * pz;
+            break;
+          }
+          default:
+            Log::Error(
+                "SpawnCart",
+                "Unknown tumor shape, please use 'sphere' or 'cylinder'.");
+            break;
         }
-        if (radi_sq >= minimum_squared_radius && radi_sq<=max_r_sq) {
+        if (radi_sq >= minimum_squared_radius && radi_sq <= max_r_sq) {
           break;
         }
       }
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index 9250380..d4498dd 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -59,21 +59,24 @@ std::vector<Real3> CreateSphereOfTumorCells(real_t sphere_radius);
 /// Create a cylindrical arrangement of tumor cells
 ///
 /// Generates a vector of 3D positions for tumor cells arranged in a cylindrical
-/// pattern with the specified radius and height. The cells are positioned randomly 
-/// uniformly distributed within the cylinder's volume.
+/// pattern with the specified radius and height. The cells are positioned
+/// randomly uniformly distributed within the cylinder's volume.
 ///
 /// @param cylinder_radius Radius of the cylindrical tumor in micrometers
 /// @param cylinder_height Height of the cylindrical tumor in micrometers
 /// @param number_of_cells Number of tumor cells to place
 /// @return Vector of 3D positions where tumor cells should be placed
-std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cylinder_height, size_t number_of_cells);
+std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius,
+                                              real_t cylinder_height,
+                                              size_t number_of_cells);
 
 /// Compute tumor statistics and characteristics
 ///
 /// Analyzes the current tumor population to compute the number of cells
 /// of each type and the overall radius of the tumor mass. In addition, it
-/// computes the average oncoprotein level and oxygen across all tumor cells and all cells.
-/// Only cells within the specified inner and outer radius are considered for the analysis.
+/// computes the average oncoprotein level and oxygen across all tumor cells and
+/// all cells. Only cells within the specified inner and outer radius are
+/// considered for the analysis.
 ///
 /// @return Tuple containing:
 ///   - Total number of tumor cells
@@ -91,8 +94,8 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius, real_t cyl
 ///   - Average glucose level across all tumor cells
 ///   - Average glucose level across all cells
 ///   - Average radial position of the living cart cells from the tumor center
-std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, real_t,
-           real_t, real_t, real_t, real_t, real_t, real_t>
+std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t,
+           real_t, real_t, real_t, real_t, real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered);
 
 /// Generates a random direction unitary vector
@@ -151,12 +154,15 @@ struct OutputSummary : public StandaloneOperationImpl {
 // NOLINTNEXTLINE(cppcoreguidelines-owning-memory)
 inline BDM_REGISTER_OP(OutputSummary, "OutputSummary", kCpu);
 
-/// Function to output information based on radius to CSV, agregate values for each radius from the center of the cylindrical tumor
+/// Function to output information based on radius to CSV, agregate values for
+/// each radius from the center of the cylindrical tumor
 /// @param current_step Current simulation step
 /// @param total_minutes Total simulation time in minutes
 /// @param total_hours Total simulation time in hours
 /// @param total_days Total simulation time in days
-void OutputInformationBasedOnRadiusCSV(const uint64_t current_step, const real_t total_minutes, const real_t total_hours, const real_t total_days);
+void OutputInformationBasedOnRadiusCSV(uint64_t current_step,
+                                       real_t total_minutes, real_t total_hours,
+                                       real_t total_days);
 
 }  // namespace bdm
 

From 6bf836098500c41b59d01df5da09c613cdafb3f8 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 3 Oct 2026 19:44:30 +0200
Subject: [PATCH 45/54] add analysis on the cause of cancer cell death

---
 .gitignore                                    |   8 +-
 abm_calibration/optimize.py                   | 150 +++++++++----
 auxiliar_scripts/analysis_radius_attribute.py | 117 ++++++++++
 auxiliar_scripts/analysis_time_attribute.py   |  93 ++++++++
 auxiliar_scripts/out/.gitkeep                 |   0
 auxiliar_scripts/plot_cell_death_causes.py    |  97 +++++++++
 auxiliar_scripts/run_several_simulations.py   | 200 ++++++++++++++++++
 params4SphericalModel.json                    |  10 +
 src/agents/cart_cell.cc                       |   2 +-
 src/agents/tumor_cell.cc                      |  39 ++--
 src/agents/tumor_cell.h                       |  23 +-
 src/utils/utils_aux.cc                        |  88 ++++++--
 src/utils/utils_aux.h                         |   7 +-
 13 files changed, 754 insertions(+), 80 deletions(-)
 create mode 100644 auxiliar_scripts/analysis_radius_attribute.py
 create mode 100644 auxiliar_scripts/analysis_time_attribute.py
 create mode 100644 auxiliar_scripts/out/.gitkeep
 create mode 100644 auxiliar_scripts/plot_cell_death_causes.py
 create mode 100644 auxiliar_scripts/run_several_simulations.py
 create mode 100644 params4SphericalModel.json

diff --git a/.gitignore b/.gitignore
index a743d16..6c81371 100644
--- a/.gitignore
+++ b/.gitignore
@@ -114,12 +114,10 @@ doc/latex
 
 
 #Debugging and result files
-#*.csv
+*.csv
 *.xyz
 *.dat
-
-# Draft code for comparing models
-draft_code_my_own_analysis/
+auxiliar_scripts/out/*.png
 
 # Python environment
 .venv/
@@ -128,4 +126,4 @@ draft_code_my_own_analysis/
 cout.txt
 
 #sqlite database files
-*.db
+*.db
\ No newline at end of file
diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index 71daa8e..f9f7af0 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -29,14 +29,19 @@
 import pandas as pd
 
 # Change this: File Parameters for the desired experiment
-EXPERIMENT_ID = 1
+EXPERIMENT_ID = 0
+# "total": compares against target_data/final_data.csv
+# "radius": compares against target_data/data_dependent_on_radius_tumor.csv
+# "custom": implement your own error function in compute_custom_error()
+MODE = "total"
+
 SEED = 42
 # You can set the number of trials to 0 to skip the optimization and just load the best result from the database
 NUMBER_OF_TRIALS = 8
 # Number of Monte Carlo simulations to run for each trial. Use one for an aproximation of the error with a single montecarlo run
-NUMBER_MONTE_CARLO = 1
+NUMBER_MONTE_CARLO = 3
 # BioDynaMo directory to execute the comand source thisbdm.sh, you can change it to your own path
-BIODYNAMO_DIR = " /home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
+BIODYNAMO_DIR = "/home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
 
 # Other Hyperparameters for the optimization process
 # LOGGING
@@ -47,10 +52,17 @@
 # Directory for the parameters file params.json
 PARAMS_PATH = Path(__file__).resolve().parent.parent / "params.json"
 
+# Directories with the simulation output and the target data
+OUTPUT_DIR = Path(__file__).resolve().parent.parent / "output"
+TARGET_DIR = Path(__file__).resolve().parent / "target_data"
+
 # Directory for this experiment
 EXPERIMENT_DIR = Path("abm_calibration") / f"experiment_{EXPERIMENT_ID}"
 EXPERIMENT_DIR.mkdir(parents=True, exist_ok=True)
 
+#######################################################
+# Change this: Simulations to run the ABM with the given parameters
+#######################################################
 
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
@@ -61,6 +73,7 @@ def run_ABM(params, seed):
     ]
 
     # Change this configuration for the ABM run
+    # (for MODE = "radius" it must set output_information_dependent_on_radius: True)
     config = {
         "seed": seed,
         "output_performance_statistics": False,
@@ -78,46 +91,59 @@ def run_ABM(params, seed):
     # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
     subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
 
+#######################################################
+# Change this: Error functions (examples)
+#######################################################
 
-# Change This: Function to compute the error between the ABM simulation results and the experimental data
-def compute_error():
-    target = Path(__file__).resolve().parent / "target_data" / "final_data.csv"
-    sim_dir = Path(__file__).resolve().parent.parent / "output" / "final_data.csv"
 
+# Error using the data of the whole tumor as a function of time (final_data.csv)
+def compute_error_total():
+    metric = "average_oxygen_all_cells"  # Change this: choose the metric to compare, e.g., "average_oxygen_all_cells", "tumor_radius", etc.
+    return mse_against_target("final_data.csv", [metric])
+
+
+# Error using the data as a function of the radius at a fixed time (data_dependent_on_radius_tumor.csv)
+def compute_error_radius():
+    csv_name = "data_dependent_on_radius_tumor.csv"
+    metric = "tumor_cells_type5_dead"  # Change this: prefix of the metric columns, e.g., "tumor_cells_type5_dead"
+    minute = 4320  # Change this: fixed time (total_minutes) at which the radial profile is compared
+
+    target = TARGET_DIR / csv_name
     if not target.exists():
-        logging.error("Missing target CSV: %s", target)
+        logging.error("Missing CSV: %s", target)
+        return float("inf")
+
+    header = pd.read_csv(target, nrows=0).columns
+    columns = [c for c in header if c.startswith(f"{metric}_radius_")]
+    if not columns:
+        logging.error("No columns for metric %s in %s", metric, target)
         return float("inf")
+    return mse_against_target(csv_name, columns, minute=minute)
 
-    if not sim_dir.exists():
-        logging.error("Missing simulation CSV: %s", sim_dir)
+
+# Change this: write your own error. Example: dead cells at the center of a tumor
+# of 3000 micrometers of radius split into 20 measurement rings at minute 4320 (72 hours)
+def compute_custom_error():
+    sim = OUTPUT_DIR / "data_dependent_on_radius_tumor.csv"
+    if not sim.exists():
+        logging.error("Missing simulation CSV: %s", sim)
         return float("inf")
 
-    df_t = pd.read_csv(target, usecols=["total_minutes", "average_oxygen_cancer_cells"])
     df_s = pd.read_csv(
-        sim_dir, usecols=["total_minutes", "average_oxygen_cancer_cells"]
+        sim, usecols=["total_minutes", "tumor_cells_type5_dead_radius_0_to_150"]
     )
-
-    # Merge the target and simulation dataframes on the "total_minutes" column to align the data for error computation
-    merged = pd.merge(
-        df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
+    row = df_s[df_s["total_minutes"] == 4320].iloc[0]
+    target_value_center = 21
+    return abs(
+        float(row["tumor_cells_type5_dead_radius_0_to_150"]) - target_value_center
     )
 
-    if merged.empty:
-        logging.error("No common minutes between target and simulation")
-        return float("inf")
 
-    # Compute the mean squared error (MSE) between the average oxygen levels in the target and simulation data
-    mse = (
-        (
-            merged["average_oxygen_cancer_cells_s"]
-            - merged["average_oxygen_cancer_cells_t"]
-        )
-        ** 2
-    ).mean()
-    return float(mse)
+#######################################################
+# Change this: Objective function for the Optuna optimization process
+#######################################################
 
 
-# Objective function for the Optuna optimization process
 def objective(trial):
     # Change this: Define the parameters to be optimized and their ranges
     params = {
@@ -144,17 +170,19 @@ def objective(trial):
     return error
 
 
-# Fix the random seed for reproducibility
-np.random.seed(SEED)
+#######################################################
+# Auxiliary functions
+#######################################################
 
-# Create an Optuna study to optimize the parameters of the ABM
-study = optuna.create_study(
-    study_name="abm_calibration",
-    storage=f"sqlite:///{EXPERIMENT_DIR / 'abm_optuna.db'}",
-    load_if_exists=True,
-    direction="minimize",
-    sampler=optuna.samplers.TPESampler(seed=SEED),
-)
+# Function to compute the error between the ABM simulation results and the target data
+def compute_error():
+    if MODE == "total":
+        return compute_error_total()
+    if MODE == "radius":
+        return compute_error_radius()
+    if MODE == "custom":
+        return compute_custom_error()
+    raise ValueError(f"Unknown MODE: {MODE}")
 
 
 # Function to set the export value in the bdm.toml file
@@ -171,7 +199,51 @@ def set_export_value(path: Path, value: bool):
     path.write_text("\n".join(new_lines))
 
 
+# MSE between simulation and target for the given csv file and columns, merged on total_minutes
+# (if minute is given, only that time is compared)
+def mse_against_target(csv_name, columns, minute=None):
+    target = TARGET_DIR / csv_name
+    sim = OUTPUT_DIR / csv_name
+
+    for path in (target, sim):
+        if not path.exists():
+            logging.error("Missing CSV: %s", path)
+            return float("inf")
+
+    df_t = pd.read_csv(target, usecols=["total_minutes", *columns])
+    df_s = pd.read_csv(sim, usecols=["total_minutes", *columns])
+
+    if minute is not None:
+        df_t = df_t[df_t["total_minutes"] == minute]
+        df_s = df_s[df_s["total_minutes"] == minute]
+
+    merged = pd.merge(
+        df_t, df_s, on="total_minutes", how="inner", suffixes=("_t", "_s")
+    )
+    if merged.empty:
+        logging.error("No common minutes between target and simulation")
+        return float("inf")
+
+    squared = [(merged[f"{c}_s"] - merged[f"{c}_t"]) ** 2 for c in columns]
+    return float(pd.concat(squared, axis=1).stack().mean())
+
+
+#######################################################
+# Main
+#######################################################
+
 if __name__ == "__main__":
+    # Fix the random seed for reproducibility
+    np.random.seed(SEED)
+
+    # Create an Optuna study to optimize the parameters of the ABM
+    study = optuna.create_study(
+        study_name="abm_calibration",
+        storage=f"sqlite:///{EXPERIMENT_DIR / 'abm_optuna.db'}",
+        load_if_exists=True,
+        direction="minimize",
+        sampler=optuna.samplers.TPESampler(seed=SEED),
+    )
 
     # Save the original content of the bdm.toml and params.json files to restore them later
     original_bdm = BDM_TOML_PATH.read_text()
diff --git a/auxiliar_scripts/analysis_radius_attribute.py b/auxiliar_scripts/analysis_radius_attribute.py
new file mode 100644
index 0000000..092893f
--- /dev/null
+++ b/auxiliar_scripts/analysis_radius_attribute.py
@@ -0,0 +1,117 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file plots the radial profile of one attribute of the simulation at a
+given minute, using output/data_dependent_on_radius_tumor.csv. The CSV has one
+column per attribute and ring, named "<attribute>_<r_in>_to_<r_out>".
+"""
+
+import re
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+# ---------------------------------------------------------------------------
+# User settings
+# ---------------------------------------------------------------------------
+BASE_DIR = Path(__file__).resolve().parent.parent
+CSV_PATH = BASE_DIR / "output" / "data_dependent_on_radius_tumor.csv"
+RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
+
+# Simulation minute to plot (must exist in the "total_minutes" column)
+MINUTE = 4320
+
+# Attribute to plot (the column prefix without the "_<r_in>_to_<r_out>" suffix).
+# Examples: num_cells_radius, num_tumor_cells_radius, tumor_cells_type1_radius,
+# ..., tumor_cells_type4_radius, tumor_cells_type5_dead_radius,
+# dead_tumor_cells_lack_of_oxygen_radius, dead_tumor_cells_lack_of_glucose_radius,
+# dead_tumor_cells_random_natural_causes_radius,
+# dead_tumor_cells_cartcell_kill_radius, num_alive_cart_radius,
+# num_dead_cart_radius, average_oncoprotein_radius,
+# average_oxygen_cancer_cells_radius, average_oxygen_all_cells_radius,
+# average_glucose_cancer_cells_radius, average_glucose_all_cells_radius
+ATTRIBUTE = "tumor_cells_type5_dead_radius"
+
+# Divide the values by this factor to change units
+# (e.g. 585 converts oxygen from mmHg to mol/m3)
+DIVIDING_FACTOR = 1
+
+# True: divide counts by the ring area, so the value is expressed per um^2
+# instead of as the total amount inside the ring
+APPLY_RADIAL_NORMALIZATION = True
+
+# Y axis limits (None = automatic)
+Y_MIN = 0
+Y_MAX = None
+
+
+def load_profile(csv_path, attribute, minute):
+    """Returns (radii, inner radii, outer radii, values) sorted by radius."""
+    df = pd.read_csv(csv_path)
+    rows = df[df["total_minutes"] == minute]
+    if rows.empty:
+        raise SystemExit(f"Minute {minute} not found in {csv_path}")
+    row = rows.iloc[0]
+
+    pattern = re.compile(rf"^{re.escape(attribute)}_(\d+)_to_(\d+)$")
+    points = []
+    for col in df.columns:
+        match = pattern.match(col)
+        if match and pd.notna(row[col]):
+            r_in, r_out = int(match.group(1)), int(match.group(2))
+            points.append(((r_in + r_out) / 2, r_in, r_out, row[col]))
+
+    if not points:
+        raise SystemExit(f"No columns found matching attribute '{attribute}'")
+
+    points.sort(key=lambda p: p[0])
+    radii, r_in, r_out, values = (np.array(c, dtype=float) for c in zip(*points))
+    return radii, r_in, r_out, values
+
+
+def main():
+    radii, r_in, r_out, values = load_profile(CSV_PATH, ATTRIBUTE, MINUTE)
+
+    if APPLY_RADIAL_NORMALIZATION:
+        values = values / (np.pi * (r_out**2 - r_in**2))
+    values = values / DIVIDING_FACTOR
+
+    print(f"Attribute: {ATTRIBUTE}")
+    print(f"Minute: {MINUTE}")
+    print(f"Radius range with data: {radii[0]:g} to {radii[-1]:g}")
+    print(f"Number of points: {len(radii)}")
+    print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
+
+    fig, ax = plt.subplots(figsize=(8, 5))
+    ax.plot(radii, values, marker="o")
+    ax.set_xlabel("Radius (um)")
+    ax.set_ylabel(ATTRIBUTE + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else ""))
+    ax.set_title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
+    ax.grid(True, alpha=0.3)
+    if Y_MIN is not None or Y_MAX is not None:
+        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
+    fig.tight_layout()
+
+    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
+    out_path = RESULTS_DIR / f"{ATTRIBUTE}_vs_radius_minute_{MINUTE}.png"
+    fig.savefig(out_path, dpi=150)
+    print(f"Saved plot to {out_path}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/auxiliar_scripts/analysis_time_attribute.py b/auxiliar_scripts/analysis_time_attribute.py
new file mode 100644
index 0000000..421f845
--- /dev/null
+++ b/auxiliar_scripts/analysis_time_attribute.py
@@ -0,0 +1,93 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file plots one attribute of the simulation as a function of time, using
+output/final_data.csv (one row per saved time step, one column per attribute).
+"""
+
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import pandas as pd
+
+# ---------------------------------------------------------------------------
+# User settings
+# ---------------------------------------------------------------------------
+BASE_DIR = Path(__file__).resolve().parent.parent
+CSV_PATH = BASE_DIR / "output" / "final_data.csv"
+RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
+
+# Attribute to plot (a column of final_data.csv). Options: tumor_radius,
+# num_cells, num_tumor_cells, tumor_cells_type1, ..., tumor_cells_type4,
+# tumor_cells_type5_dead, dead_tumor_cells_lack_of_oxygen,
+# dead_tumor_cells_lack_of_glucose, dead_tumor_cells_random_natural_causes,
+# dead_tumor_cells_cartcell_kill, num_alive_cart, num_dead_cart,
+# average_oncoprotein, average_oxygen_cancer_cells, average_oxygen_all_cells,
+# average_glucose_cancer_cells, average_glucose_all_cells,
+# average_radius_distance_living_cart_cells
+ATTRIBUTE = "average_oncoprotein"
+
+# Time unit of the x axis: "days", "hours" or "minutes"
+TIME_UNIT = "days"
+
+# Divide the values by this factor to change units
+# (e.g. 585 converts oxygen from mmHg to mol/m3)
+DIVIDING_FACTOR = 1
+
+# Y axis limits (None = automatic)
+Y_MIN = None
+Y_MAX = None
+
+COLOR = "#e41a1c"
+
+
+def main():
+    df = pd.read_csv(CSV_PATH)
+
+    time_col = f"total_{TIME_UNIT}"
+    if time_col not in df.columns:
+        raise SystemExit(f"Invalid TIME_UNIT '{TIME_UNIT}' (use days, hours or minutes)")
+    if ATTRIBUTE not in df.columns:
+        raise SystemExit(
+            f"Attribute '{ATTRIBUTE}' not found in {CSV_PATH}. "
+            f"Available: {', '.join(df.columns[3:])}"
+        )
+
+    time_points = df[time_col]
+    values = df[ATTRIBUTE] / DIVIDING_FACTOR
+
+    print(f"Attribute: {ATTRIBUTE}")
+    print(f"Time range: {time_points.iloc[0]:g} to {time_points.iloc[-1]:g} {TIME_UNIT}")
+    print(f"Number of points: {len(df)}")
+
+    fig, ax = plt.subplots(figsize=(10, 6))
+    ax.plot(time_points, values, color=COLOR, linestyle="-", linewidth=2)
+    ax.set_xlabel(f"Time ({TIME_UNIT})")
+    ax.set_ylabel(ATTRIBUTE)
+    ax.set_title(f"{ATTRIBUTE} over time")
+    ax.grid(True, linestyle="--", alpha=0.7)
+    if Y_MIN is not None or Y_MAX is not None:
+        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
+    fig.tight_layout()
+
+    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
+    out_path = RESULTS_DIR / f"{ATTRIBUTE}_vs_time.png"
+    fig.savefig(out_path, dpi=150)
+    print(f"Saved plot to {out_path}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/auxiliar_scripts/out/.gitkeep b/auxiliar_scripts/out/.gitkeep
new file mode 100644
index 0000000..e69de29
diff --git a/auxiliar_scripts/plot_cell_death_causes.py b/auxiliar_scripts/plot_cell_death_causes.py
new file mode 100644
index 0000000..11f94fb
--- /dev/null
+++ b/auxiliar_scripts/plot_cell_death_causes.py
@@ -0,0 +1,97 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file plots, in a single graph and at a given minute, the radial profile of
+the tumor cell deaths for each cause (lack of oxygen, lack of glucose, random
+natural causes and CAR-T kill) and prints the total number of deaths of each
+cause (summed over all radii), using output/data_dependent_on_radius_tumor.csv. The CSV has one
+column per attribute and ring, named "<attribute>_<r_in>_to_<r_out>".
+"""
+
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from analysis_radius_attribute import load_profile
+
+# ---------------------------------------------------------------------------
+# User settings
+# ---------------------------------------------------------------------------
+BASE_DIR = Path(__file__).resolve().parent.parent
+CSV_PATH = BASE_DIR / "output" / "data_dependent_on_radius_tumor.csv"
+RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
+
+# Simulation minute to plot (must exist in the "total_minutes" column)
+MINUTE = 0
+
+# Death causes: column prefix -> legend label
+DEATH_CAUSES = {
+    "dead_tumor_cells_lack_of_oxygen_radius": "Lack of oxygen",
+    "dead_tumor_cells_lack_of_glucose_radius": "Lack of glucose",
+    "dead_tumor_cells_random_natural_causes_radius": "Random natural causes",
+    "dead_tumor_cells_cartcell_kill_radius": "CAR-T kill",
+}
+
+# True: divide counts by the ring area, so the value is expressed per um^2
+# instead of as the total amount inside the ring
+APPLY_RADIAL_NORMALIZATION = True
+
+# Y axis limits (None = automatic)
+Y_MIN = 0
+Y_MAX = None
+
+
+def main():
+    fig, ax = plt.subplots(figsize=(9, 5.5))
+    radii = None
+    total_deaths = {}
+
+    for attribute, label in DEATH_CAUSES.items():
+        radii, r_in, r_out, values = load_profile(CSV_PATH, attribute, MINUTE)
+        # Total over all rings (raw counts, independent of radius/normalization)
+        total_deaths[label] = float(np.sum(values))
+        if APPLY_RADIAL_NORMALIZATION:
+            values = values / (np.pi * (r_out**2 - r_in**2))
+        ax.plot(radii, values, marker="o", label=label)
+
+    print(f"Minute: {MINUTE}")
+    print("Total deaths by cause (all radii):")
+    for label, count in total_deaths.items():
+        print(f"  {label}: {count:g}")
+    print(f"Radius range with data: {radii[0]:g} to {radii[-1]:g}")
+    print(f"Number of points: {len(radii)}")
+    print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
+
+    ax.set_xlabel("Radius (um)")
+    ax.set_ylabel(
+        "Dead tumor cells" + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else "")
+    )
+    ax.set_title(f"Tumor cell deaths by cause vs radius - minute {MINUTE}")
+    ax.grid(True, alpha=0.3)
+    ax.legend()
+    if Y_MIN is not None or Y_MAX is not None:
+        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
+    fig.tight_layout()
+
+    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
+    out_path = RESULTS_DIR / f"cell_death_causes_vs_radius_minute_{MINUTE}.png"
+    fig.savefig(out_path, dpi=150)
+    print(f"Saved plot to {out_path}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/auxiliar_scripts/run_several_simulations.py b/auxiliar_scripts/run_several_simulations.py
new file mode 100644
index 0000000..4400818
--- /dev/null
+++ b/auxiliar_scripts/run_several_simulations.py
@@ -0,0 +1,200 @@
+"""
+Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+    SPDX-License-Identifier: Apache-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+This file runs the ABM several times with different seeds and stores the
+output of each execution separately.
+"""
+
+import json
+import shlex
+import shutil
+import subprocess
+from pathlib import Path, PurePosixPath
+
+# ---------------------------------------------------------------------------
+# User settings
+# ---------------------------------------------------------------------------
+NUMBER_EXECUTIONS = 10
+# True to generate visualization files for ParaView, False to disable it
+EXPORT_VISUALIZATION = False
+# Path to thisbdm.sh
+BIODYNAMO_ENV_SCRIPT = "/home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
+
+# ---------------------------------------------------------------------------
+# Paths
+# ---------------------------------------------------------------------------
+BASE_DIR = Path(__file__).resolve().parent.parent
+BDM_TOML_PATH = BASE_DIR / "bdm.toml"  # visualization configuration
+PARAMS_PATH = BASE_DIR / "params.json"  # simulation parameters
+SIM_DIR = BASE_DIR / "output"  # folder where the ABM writes its results
+RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
+
+# ---------------------------------------------------------------------------
+# Simulation parameters (the seed is added for each run)
+# ---------------------------------------------------------------------------
+BASE_CONFIG = {
+    "bound_space_toplogy": "closed",
+    "num_radius_intervals": 100,
+    "lateral_oxygen_production_min_z": -300.0,
+    "lateral_oxygen_production_max_z": 300.0,
+    "min_initial_z_substances": -300.0,
+    "max_initial_z_substances": 300.0,
+    "diffuse_oxygen_on_z_axis": False,
+    "diffuse_glucose_on_z_axis": False,
+    "output_performance_statistics": False,
+    "total_minutes_to_simulate": 1,
+    "output_csv_interval": 600,
+    "bounded_space_length": 6500.0,
+    "tumor_shape": "cylinder",
+    "output_information_dependent_on_radius": True,
+    "cylindrical_tumor_radius": 3000.0,
+    "max_radius_analysis_csv_dependent_on_radius": 3000.0,
+    "cylindrical_tumor_height": 100.0,
+    "initial_number_of_cylindrical_tumor_cells": 28000,
+    "default_volume_new_tumor_cell": 1468.0,
+    "std_volume_new_tumor_cell": 166,
+    "min_volume_new_tumor_cell": 1136.0,
+    "max_volume_new_tumor_cell": 1800.0,
+    "default_volume_new_cart_cell": 269.0,
+    "std_volume_new_cart_cell": 33.625,
+    "min_volume_new_cart_cell": 201.75,
+    "max_volume_new_cart_cell": 336.25,
+    "oncoprotein_mean": 1.0,
+    "oncoprotein_standard_deviation": 0.0,
+    "initial_oxygen_level": 0.0,
+    "oxygen_reference_level": 165.0,
+    "default_oxygen_consumption_tumor_cell": 77.47,
+    "default_glucose_consumption_tumor_cell": 0.045,
+    "diffusion_coefficient_oxygen": 180000.0,
+    "decay_constant_oxygen": 0.01,
+    "time_apoptosis": 6000.0,
+    "time_lysis": 6000.0,
+    "average_time_transformation_random_rate": 72,
+    "standard_deviation_transformation_random_rate": 15.0,
+    "decay_constant_glucose": 0.0005,
+    "oxygen_saturation_for_proliferation": 13.74,
+    "oxygen_limit_for_proliferation": 5.9,
+    "oxygen_limit_for_necrosis_maximum": 0.0,
+    "oxygen_limit_for_necrosis": 7.1,
+    "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
+    "reduction_consumption_dead_cells": 0.0,
+    "basal_death_probability_cancer_cells": 5e-06,
+    "bounded_space_min_allowed_z": -50.0,
+    "bounded_space_max_allowed_z": 50.0,
+    "bounded_space_max_allowed_radius": 3250.0,
+    "minimum_distance_from_tumor_to_spawn_cart": 0.0,
+    "add_immunostimulatory_factor": True,
+    "add_glucose": True,
+    "diffusion_coefficient_glucose": 7800,
+    "initial_glucose_level": 24.98,
+    "max_radius_glucose_initialization": 3100.0,
+    "treatment": {"0": 560000},
+    "default_oxygen_consumption_cart": 16,
+    "default_glucose_consumption_cart": 0.007,
+    "adhesion_rate_cart": 8.5e-06,
+    "glucose_saturation_for_tumor_cell_growth": 24.98,
+    "glucose_limit_for_tumor_cell_growth": 0,
+    "glucose_limit_for_death": 5,
+    "glucose_limit_for_death_maximum": 0,
+    "maximum_death_lack_of_glucose_rate": 0.000175,
+    "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
+    "avg_migration_bias_cart": 0,
+    "std_migration_bias_cart": 0.135,
+    "persistence_time_cart": 0,
+    "diffusion_coefficient_immunostimulatory_factor": 100000,
+    "decay_constant_immunostimulatory_factor": 1e-05,
+}
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+def to_wsl_path(path: Path) -> str:
+    """Convert a Windows path (C:\\a\\b) to its WSL form (/mnt/c/a/b)."""
+    drive = path.drive.rstrip(":").lower()
+    return str(PurePosixPath("/mnt", drive, *path.parts[1:]))
+
+
+def build_bdm_command() -> list:
+    """Command that loads the BioDynaMo environment and runs the simulation."""
+    script = f"source {shlex.quote(BIODYNAMO_ENV_SCRIPT)} && bdm run"
+    return ["bash", "-c", script]
+
+
+def set_export_value(path: Path, value: bool):
+    """Set the `export` value in the bdm.toml file."""
+    lines = path.read_text().splitlines()
+    new_lines = [
+        f"export = {str(value).lower()}" if line.strip().startswith("export") else line
+        for line in lines
+    ]
+    path.write_text("\n".join(new_lines) + "\n")
+
+
+# ---------------------------------------------------------------------------
+# Simulation workflow
+# ---------------------------------------------------------------------------
+def run_abm(seed: int):
+    """Write params.json for this seed and run the ABM with BioDynaMo."""
+    config = {"seed": seed, **BASE_CONFIG}
+    with open(PARAMS_PATH, "w") as f:
+        json.dump(config, f, indent=2)
+
+    subprocess.run(build_bdm_command(), check=True, cwd=BASE_DIR)
+
+
+def copy_output(seed: int):
+    """Copy the contents of SIM_DIR to RESULTS_DIR/execution_seed_{seed}."""
+    dest_dir = RESULTS_DIR / f"execution_seed_{seed}"
+
+    if not SIM_DIR.exists():
+        raise FileNotFoundError(f"Results folder not found: {SIM_DIR}")
+
+    if dest_dir.exists():
+        shutil.rmtree(dest_dir)  # avoid mixing results from previous runs
+
+    shutil.copytree(SIM_DIR, dest_dir)
+    print(f"[seed={seed}] Results copied to: {dest_dir}")
+
+
+def run_multiple_seeds(n: int):
+    """Run the ABM with seeds 0..n-1 and save each result separately."""
+    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
+
+    for seed in range(n):
+        print(f"--- Running ABM with seed={seed} ---")
+        run_abm(seed)
+        copy_output(seed)
+
+    print(f"Done: {n} runs completed (seeds 0 to {n - 1}).")
+
+
+def main():
+    # Save the original files to restore them afterwards
+    original_bdm = BDM_TOML_PATH.read_text()
+    original_params = PARAMS_PATH.read_text()
+
+    try:
+        set_export_value(BDM_TOML_PATH, EXPORT_VISUALIZATION)
+        run_multiple_seeds(NUMBER_EXECUTIONS)
+    finally:
+        # Always restore bdm.toml and params.json, even if a run fails
+        BDM_TOML_PATH.write_text(original_bdm)
+        PARAMS_PATH.write_text(original_params)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/params4SphericalModel.json b/params4SphericalModel.json
new file mode 100644
index 0000000..562de49
--- /dev/null
+++ b/params4SphericalModel.json
@@ -0,0 +1,10 @@
+{
+  "seed": 42,
+  "output_performance_statistics": true,
+  "total_minutes_to_simulate": 43200,
+  "initial_tumor_radius": 150.0,
+  "treatment": {
+    "0": 3957,
+    "8": 3957
+  }
+}
\ No newline at end of file
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 70b9756..4aa959f 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -458,7 +458,7 @@ bool CarTCell::TryToInduceApoptosis(bdm::AgentPointer<TumorCell> attached_cell,
 
   // The CAR-T has succeeded to induce apoptosis on the Cancer Cell
   if (succeeded) {
-    attached_cell->StartApoptosis();
+    attached_cell->StartApoptosis(TumorCellDeathCause::kCartKill);
   }
 
   return succeeded;
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index 7559e12..c29364e 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -468,7 +468,7 @@ void TumorCell::ComputeConstantsConsumptionSecretion() {
   }
 }
 
-void TumorCell::StartApoptosis() {
+void TumorCell::StartApoptosis(TumorCellDeathCause cause) {
   // If the cell is already dead, do nothing
   if (IsDead()) {
     return;
@@ -477,6 +477,8 @@ void TumorCell::StartApoptosis() {
 
   // The cell Dies
   SetState(TumorCellState::kApoptotic);
+  // Register the cause of death
+  SetDeathCause(cause);
 
   // Reset timer_state
   SetTimerState(0);
@@ -799,6 +801,8 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level,
                                             current_nuclear_solid);
     // Set type to 5 to indicate dead cell
     cell->SetType(TumorCellType::kType5);
+    // Register the cause of death
+    cell->SetDeathCause(TumorCellDeathCause::kLackOfOxygen);
     return true;
   }
 
@@ -825,21 +829,28 @@ bool StateControlGrowProliferate::ShouldDie(real_t oxygen_level,
   const real_t maximum_death_rate_glucose_multiplier =
       sparams->maximum_death_lack_of_glucose_rate * multiplier;
 
-  // Random natural causes
+  // Lack of glucose: first independent check. Multiply by sparams->dt_cycle
+  // since each timestep is sparams->dt_cycle minutes. If there is no glucose
+  // effect the check is skipped
+  const real_t probability_glucose_death =
+      sparams->dt_cycle * maximum_death_rate_glucose_multiplier;
+  if (probability_glucose_death > 0 &&
+      random->Uniform(0, 1) < probability_glucose_death) {
+    // If the random number is less than the probability, enter apoptosis
+    cell->StartApoptosis(TumorCellDeathCause::kLackOfGlucose);
+    return true;
+  }
+
+  // Random natural causes: second independent check, only if the cell did not
+  // die because of lack of glucose. The total probability of apoptosis is
+  // dt*g + dt*b - dt^2*g*b
   const real_t current_basal_death_probability =
       cell->GetBasalDeathProbability();
-  // Final probability: multiply by sparams->dt_cycle since each timestep is
-  // sparams->dt_cycle minutes The probability of natural aopotosis is
-  // calculated as the complement of the product of the complements of the
-  // individual probabilities, scaled by the time step.
-  const real_t probability_apoptosis =
-      sparams->dt_cycle * (1.0 - (1.0 - maximum_death_rate_glucose_multiplier) *
-                                     (1.0 - current_basal_death_probability));
-
-  const bool enter_apoptosis = random->Uniform(0, 1) < probability_apoptosis;
-  // If the random number is less than the probability, enter necrosis
-  if (enter_apoptosis) {
-    cell->StartApoptosis();
+  const real_t probability_natural_death =
+      sparams->dt_cycle * current_basal_death_probability;
+  if (random->Uniform(0, 1) < probability_natural_death) {
+    // If the random number is less than the probability, enter apoptosis
+    cell->StartApoptosis(TumorCellDeathCause::kRandomNaturalCauses);
     return true;
   }
   return false;  // Return whether the cell died
diff --git a/src/agents/tumor_cell.h b/src/agents/tumor_cell.h
index b6d205f..b903ee5 100644
--- a/src/agents/tumor_cell.h
+++ b/src/agents/tumor_cell.h
@@ -70,6 +70,17 @@ enum class TumorCellType : int {
   kType5 = 5   ///< Dead tumor cells
 };
 
+/// Enumeration representing the cause of death of a tumor cell
+///
+/// This enum class defines why a dead tumor cell (type 5) died.
+enum class TumorCellDeathCause : int {
+  kNone = 0,                 ///< The cell is alive
+  kLackOfOxygen = 1,         ///< Necrosis due to low oxygen levels
+  kLackOfGlucose = 2,        ///< Apoptosis due to low glucose levels
+  kRandomNaturalCauses = 3,  ///< Apoptosis due to random natural causes
+  kCartKill = 4              ///< Apoptosis induced by a CAR-T cell
+};
+
 /// Tumor cell class implementation
 ///
 /// This class represents a cancer cell that forms a heterogeneous tumor in the
@@ -188,6 +199,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
 
   bool IsDead() const { return type_ == TumorCellType::kType5; }
 
+  void SetDeathCause(TumorCellDeathCause cause) { death_cause_ = cause; }
+  TumorCellDeathCause GetDeathCause() const { return death_cause_; }
+
   /// Returns the diffusion grid for oxygen
   DiffusionGrid* GetOxygenDiffusionGrid() const { return oxygen_dgrid_; }
   /// Returns the diffusion grid for immunostimulatory factors
@@ -252,8 +266,10 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// Start apoptosis
   ///
   ///  This function is called when the tumor cell is induced to apoptosis by a
-  ///  CAR-T cell.
-  void StartApoptosis();
+  ///  CAR-T cell, by lack of glucose or by random natural causes.
+  ///
+  ///  @param cause The cause of death of the tumor cell
+  void StartApoptosis(TumorCellDeathCause cause);
 
  private:
   /// Current state of the tumor cell
@@ -314,6 +330,9 @@ class TumorCell : public Cell, public ISubstanceInteractor {
   /// Cell type as int for exporting to paraview
   int cell_type_ = 0;
 
+  /// Cause of death of the cell (kNone while the cell is alive)
+  TumorCellDeathCause death_cause_ = TumorCellDeathCause::kNone;
+
   /// Velocity of the cell in the previous time step
   Real3 older_velocity_ = {0, 0, 0};
 
diff --git a/src/utils/utils_aux.cc b/src/utils/utils_aux.cc
index 8e77bac..bbfd3fe 100644
--- a/src/utils/utils_aux.cc
+++ b/src/utils/utils_aux.cc
@@ -133,7 +133,8 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius,
 // the tumor of the living cart cells. Only considering cells within the
 // specified inner and outer radius.
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t,
-           real_t, real_t, real_t, real_t, real_t, real_t, real_t>
+           size_t, size_t, size_t, size_t, real_t, real_t, real_t, real_t,
+           real_t, real_t, real_t>
 // NOLINTNEXTLINE(readability-function-cognitive-complexity)
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   real_t inner_radius_squared =
@@ -158,6 +159,10 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
   int num_tumor_cells_type3 = 0;
   int num_tumor_cells_type4 = 0;
   int num_tumor_cells_type5_dead = 0;
+  int num_dead_lack_of_oxygen = 0;
+  int num_dead_lack_of_glucose = 0;
+  int num_dead_random_natural_causes = 0;
+  int num_dead_cartcell_kill = 0;
   int num_alive_cart = 0;
   int num_dead_cart = 0;
 
@@ -240,6 +245,23 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
           break;
         case TumorCellType::kType5:
           num_tumor_cells_type5_dead++;
+          // Count dead tumor cells by cause of death
+          switch (tumor_cell->GetDeathCause()) {
+            case TumorCellDeathCause::kLackOfOxygen:
+              num_dead_lack_of_oxygen++;
+              break;
+            case TumorCellDeathCause::kLackOfGlucose:
+              num_dead_lack_of_glucose++;
+              break;
+            case TumorCellDeathCause::kRandomNaturalCauses:
+              num_dead_random_natural_causes++;
+              break;
+            case TumorCellDeathCause::kCartKill:
+              num_dead_cartcell_kill++;
+              break;
+            default:
+              break;
+          }
           break;
         default:
           break;
@@ -298,6 +320,10 @@ AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered) {
           num_tumor_cells_type3,
           num_tumor_cells_type4,
           num_tumor_cells_type5_dead,
+          num_dead_lack_of_oxygen,
+          num_dead_lack_of_glucose,
+          num_dead_random_natural_causes,
+          num_dead_cartcell_kill,
           num_alive_cart,
           num_dead_cart,
           std::sqrt(max_dist_sq),
@@ -328,17 +354,19 @@ void OutputSummary::operator()() {
                        current_step == 0 ? std::ios::trunc : std::ios::app);
     if (file.is_open()) {
       if (current_step == 0) {
-        file
-            << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
-               "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
-               "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,num_alive_"
-               "cart,num_dead_cart,average_oncoprotein,average_oxygen_cancer_"
-               "cells,average_oxygen_all_cells,average_glucose_cancer_cells,"
-               "average_glucose_all_cells,average_radius_distance_living_cart_"
-               "cells\n";  // Header
-                           // for
-                           // CSV
-                           // file
+        file << "total_days,total_hours,total_minutes,tumor_radius,num_cells,"
+                "num_tumor_cells,tumor_cells_type1,tumor_cells_type2,tumor_"
+                "cells_type3,tumor_cells_type4,tumor_cells_type5_dead,"
+                "dead_tumor_cells_lack_of_oxygen,dead_tumor_cells_lack_of_"
+                "glucose,dead_tumor_cells_random_natural_causes,dead_tumor_"
+                "cells_cartcell_kill,num_alive_cart,num_dead_cart,average_"
+                "oncoprotein,average_oxygen_cancer_"
+                "cells,average_oxygen_all_cells,average_glucose_cancer_cells,"
+                "average_glucose_all_cells,average_radius_distance_living_cart_"
+                "cells\n";  // Header
+                            // for
+                            // CSV
+                            // file
       }
 
       // Count total cells, tumor cells of each type and tumor radius
@@ -348,6 +376,10 @@ void OutputSummary::operator()() {
       int num_tumor_cells_type3 = 0;
       int num_tumor_cells_type4 = 0;
       int num_tumor_cells_type5_dead = 0;
+      int num_dead_lack_of_oxygen = 0;
+      int num_dead_lack_of_glucose = 0;
+      int num_dead_random_natural_causes = 0;
+      int num_dead_cartcell_kill = 0;
       int num_alive_cart = 0;
       int num_dead_cart = 0;
       real_t tumor_radius = 0.0;
@@ -361,6 +393,8 @@ void OutputSummary::operator()() {
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
+               num_dead_lack_of_oxygen, num_dead_lack_of_glucose,
+               num_dead_random_natural_causes, num_dead_cartcell_kill,
                num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
                average_oxygen_cancer_cells, average_oxygen_all_cells,
                average_glucose_cancer_cells, average_glucose_all_cells,
@@ -388,7 +422,9 @@ void OutputSummary::operator()() {
            << total_num_tumor_cells << "," << num_tumor_cells_type1 << ","
            << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
-           << num_alive_cart << "," << num_dead_cart << ","
+           << num_dead_lack_of_oxygen << "," << num_dead_lack_of_glucose << ","
+           << num_dead_random_natural_causes << "," << num_dead_cartcell_kill
+           << "," << num_alive_cart << "," << num_dead_cart << ","
            << average_oncoprotein << "," << average_oxygen_cancer_cells << ","
            << average_oxygen_all_cells << "," << average_glucose_cancer_cells
            << "," << average_glucose_all_cells << ","
@@ -445,6 +481,14 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step,
              << (i + 1) * interval_size;
         file << ",tumor_cells_type5_dead_radius_" << i * interval_size << "_to_"
              << (i + 1) * interval_size;
+        file << ",dead_tumor_cells_lack_of_oxygen_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",dead_tumor_cells_lack_of_glucose_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
+        file << ",dead_tumor_cells_random_natural_causes_radius_"
+             << i * interval_size << "_to_" << (i + 1) * interval_size;
+        file << ",dead_tumor_cells_cartcell_kill_radius_" << i * interval_size
+             << "_to_" << (i + 1) * interval_size;
         file << ",average_oncoprotein_radius_" << i * interval_size << "_to_"
              << (i + 1) * interval_size;
         file << ",average_oxygen_cancer_cells_radius_" << i * interval_size
@@ -475,6 +519,10 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step,
       int num_tumor_cells_type3 = 0;
       int num_tumor_cells_type4 = 0;
       int num_tumor_cells_type5_dead = 0;
+      int num_dead_lack_of_oxygen = 0;
+      int num_dead_lack_of_glucose = 0;
+      int num_dead_random_natural_causes = 0;
+      int num_dead_cartcell_kill = 0;
       int num_alive_cart = 0;
       int num_dead_cart = 0;
       real_t tumor_radius = 0.0;
@@ -488,6 +536,8 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step,
       std::tie(total_num_tumor_cells, num_tumor_cells_type1,
                num_tumor_cells_type2, num_tumor_cells_type3,
                num_tumor_cells_type4, num_tumor_cells_type5_dead,
+               num_dead_lack_of_oxygen, num_dead_lack_of_glucose,
+               num_dead_random_natural_causes, num_dead_cartcell_kill,
                num_alive_cart, num_dead_cart, tumor_radius, average_oncoprotein,
                average_oxygen_cancer_cells, average_oxygen_all_cells,
                average_glucose_cancer_cells, average_glucose_all_cells,
@@ -508,10 +558,12 @@ void OutputInformationBasedOnRadiusCSV(const uint64_t current_step,
            << num_dead_cart << "," << num_tumor_cells_type1 << ","
            << num_tumor_cells_type2 << "," << num_tumor_cells_type3 << ","
            << num_tumor_cells_type4 << "," << num_tumor_cells_type5_dead << ","
-           << average_oncoprotein << "," << average_oxygen_cancer_cells << ","
-           << average_oxygen_all_cells << "," << average_glucose_cancer_cells
-           << "," << average_glucose_all_cells << ","
-           << average_radius_distance_living_cart_cells;
+           << num_dead_lack_of_oxygen << "," << num_dead_lack_of_glucose << ","
+           << num_dead_random_natural_causes << "," << num_dead_cartcell_kill
+           << "," << average_oncoprotein << "," << average_oxygen_cancer_cells
+           << "," << average_oxygen_all_cells << ","
+           << average_glucose_cancer_cells << "," << average_glucose_all_cells
+           << "," << average_radius_distance_living_cart_cells;
     }
     // End of line for the current step
     file << "\n";
@@ -572,7 +624,7 @@ void SpawnCart::operator()() {
         if (dist_sq > max_dist_sq) {
           max_dist_sq = dist_sq;
         }
-      } 
+      }
     });
 
     // the car-t spawns at least
diff --git a/src/utils/utils_aux.h b/src/utils/utils_aux.h
index d4498dd..028ef0f 100644
--- a/src/utils/utils_aux.h
+++ b/src/utils/utils_aux.h
@@ -85,6 +85,10 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius,
 ///   - Number of type 3 tumor cells
 ///   - Number of type 4 tumor cells (least aggressive)
 ///   - Number of type 5 tumor cells (dead)
+///   - Number of dead tumor cells that died because of lack of oxygen
+///   - Number of dead tumor cells that died because of lack of glucose
+///   - Number of dead tumor cells that died because of random natural causes
+///   - Number of dead tumor cells that were killed by CAR-T cells
 ///   - Number of living CAR-T cells (not apoptotic)
 ///   - Number of dead CAR-T cells (apoptotic)
 ///   - Current tumor radius in micrometers
@@ -95,7 +99,8 @@ std::vector<Real3> CreateCylinderOfTumorCells(real_t cylinder_radius,
 ///   - Average glucose level across all cells
 ///   - Average radial position of the living cart cells from the tumor center
 std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t,
-           real_t, real_t, real_t, real_t, real_t, real_t, real_t>
+           size_t, size_t, size_t, size_t, real_t, real_t, real_t, real_t,
+           real_t, real_t, real_t>
 AnalyzeTumor(real_t inner_radius_considered, real_t outer_radius_considered);
 
 /// Generates a random direction unitary vector

From 7abf77c70f0d1aaa08e33a7c0a9b0f747a824257 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 3 Oct 2026 19:47:33 +0200
Subject: [PATCH 46/54] clean all python scripts

---
 abm_calibration/optimize.py                 | 5 ++++-
 auxiliar_scripts/analysis_time_attribute.py | 8 ++++++--
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/abm_calibration/optimize.py b/abm_calibration/optimize.py
index f9f7af0..d930d9a 100644
--- a/abm_calibration/optimize.py
+++ b/abm_calibration/optimize.py
@@ -64,6 +64,7 @@
 # Change this: Simulations to run the ABM with the given parameters
 #######################################################
 
+
 # Function to run the ABM with the given parameters
 def run_ABM(params, seed):
     # Change this: parameter to be optimized in the ABM simulation
@@ -91,6 +92,7 @@ def run_ABM(params, seed):
     # Load the ByoDynaMo environment and run the ABM simulation using the BioDynaMo executable
     subprocess.run(["bash", "-c", f"source {BIODYNAMO_DIR} && bdm run"], check=True)
 
+
 #######################################################
 # Change this: Error functions (examples)
 #######################################################
@@ -174,6 +176,7 @@ def objective(trial):
 # Auxiliary functions
 #######################################################
 
+
 # Function to compute the error between the ABM simulation results and the target data
 def compute_error():
     if MODE == "total":
@@ -265,4 +268,4 @@ def mse_against_target(csv_name, columns, minute=None):
     finally:
         # Restore the original content of the bdm.toml and params.json files always, even if an error occurs during the optimization process
         BDM_TOML_PATH.write_text(original_bdm)
-        PARAMS_PATH.write_text(original_params)
\ No newline at end of file
+        PARAMS_PATH.write_text(original_params)
diff --git a/auxiliar_scripts/analysis_time_attribute.py b/auxiliar_scripts/analysis_time_attribute.py
index 421f845..18971cb 100644
--- a/auxiliar_scripts/analysis_time_attribute.py
+++ b/auxiliar_scripts/analysis_time_attribute.py
@@ -59,7 +59,9 @@ def main():
 
     time_col = f"total_{TIME_UNIT}"
     if time_col not in df.columns:
-        raise SystemExit(f"Invalid TIME_UNIT '{TIME_UNIT}' (use days, hours or minutes)")
+        raise SystemExit(
+            f"Invalid TIME_UNIT '{TIME_UNIT}' (use days, hours or minutes)"
+        )
     if ATTRIBUTE not in df.columns:
         raise SystemExit(
             f"Attribute '{ATTRIBUTE}' not found in {CSV_PATH}. "
@@ -70,7 +72,9 @@ def main():
     values = df[ATTRIBUTE] / DIVIDING_FACTOR
 
     print(f"Attribute: {ATTRIBUTE}")
-    print(f"Time range: {time_points.iloc[0]:g} to {time_points.iloc[-1]:g} {TIME_UNIT}")
+    print(
+        f"Time range: {time_points.iloc[0]:g} to {time_points.iloc[-1]:g} {TIME_UNIT}"
+    )
     print(f"Number of points: {len(df)}")
 
     fig, ax = plt.subplots(figsize=(10, 6))

From 0d27b5102c04c1959cdcd75f8547c6e53563f603 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 3 Oct 2026 20:22:59 +0200
Subject: [PATCH 47/54] updated readme file with new model schema and the added
 python scripts for result analysis and radius analysis

---
 README.md                       |  82 ++++++++++++++++++++++++++++++--
 assets/images/model_outline.png | Bin 91610 -> 145048 bytes
 2 files changed, 79 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index aa35f53..153c3e0 100644
--- a/README.md
+++ b/README.md
@@ -33,9 +33,10 @@
 8. [Input Parameters](#input-parameters)
 9. [Running the Simulation](#running-the-simulation)
 10. [Visualizing Results](#visualizing-results)
-11. [Acknowledgments](#acknowledgments)
-12. [License](#license)
-13. [Author Contact Information](#author-contact-information)
+11. [Model Calibration (Bayesian Optimization)](#model-calibration-bayesian-optimization)
+12. [Acknowledgments](#acknowledgments)
+13. [License](#license)
+14. [Author Contact Information](#author-contact-information)
 
 
 ---
@@ -105,6 +106,29 @@ The project is organized into the following components:
 
 - **[`CARTopiaX_Simulation_Analysis.ipynb`](CARTopiaX_Simulation_Analysis.ipynb)**: Jupyter notebook for post-processing simulation results, generating plots, and statistical analysis.
 
+### Auxiliary Scripts (`auxiliar_scripts/`)
+
+Small Python scripts for running and analyzing simulations. Each one has a *User settings* block at the top that can be edited before running it, and all generated plots and results are saved in `auxiliar_scripts/out/`.
+
+- **[`run_several_simulations.py`](auxiliar_scripts/run_several_simulations.py)**: Runs the simulation several times with different seeds (0 to `NUMBER_EXECUTIONS - 1`) using the configuration defined in `BASE_CONFIG`, and copies the `output/` folder of each run to `out/execution_seed_<seed>`. ParaView export can be enabled or disabled, and the original `params.json` and `bdm.toml` are always restored at the end.
+
+- **[`analysis_time_attribute.py`](auxiliar_scripts/analysis_time_attribute.py)**: Plots any attribute of `output/final_data.csv` (e.g. `tumor_radius`, `num_alive_cart`, `average_oncoprotein`) as a function of time, in days, hours or minutes.
+
+- **[`analysis_radius_attribute.py`](auxiliar_scripts/analysis_radius_attribute.py)**: Plots the radial profile of an attribute at a given minute using `output/data_dependent_on_radius_tumor.csv`. Values can optionally be normalized by the area of each ring.
+
+- **[`plot_cell_death_causes.py`](auxiliar_scripts/plot_cell_death_causes.py)**: Plots in a single graph the radial profile of tumor cell deaths for each cause (lack of oxygen, lack of glucose, random natural causes and CAR-T kill) at a given minute, and prints the total number of deaths of each cause.
+
+The radius-dependent scripts require the simulation to be run with `output_information_dependent_on_radius` set to `true`. Scripts can be run from the repository root, e.g.:
+```bash
+python3 auxiliar_scripts/analysis_time_attribute.py
+```
+
+### Model Calibration (`abm_calibration/`)
+
+- **[`optimize.py`](abm_calibration/optimize.py)**: Bayesian optimization workflow to calibrate model parameters against target data. See [Model Calibration](#model-calibration-bayesian-optimization).
+
+- **[`requirements.txt`](abm_calibration/requirements.txt)**: Python dependencies for the calibration workflow.
+
 
 ---
 
@@ -521,6 +545,58 @@ paraview ./output/CARTopiaX/CARTopiaX.pvsm
 
 ---
 
+## Model Calibration (Bayesian Optimization)
+
+Many parameters of the model cannot be measured directly in the laboratory. [`optimize.py`](abm_calibration/optimize.py) finds the values of selected parameters that make the simulation reproduce some target data (e.g. experimental measurements) as closely as possible.
+
+### How it works
+
+Each simulation is expensive, so trying every combination of parameters (grid search) is not feasible. Instead, the script uses **Bayesian optimization** through [Optuna](https://optuna.org/) and its **Tree-structured Parzen Estimator (TPE)** sampler:
+
+1. Each *trial* proposes a value for every parameter to be calibrated within its range.
+2. The simulation is run with those values `NUMBER_MONTE_CARLO` times with different random seeds, and the error against the target data is averaged. This reduces the effect of the stochastic nature of the model.
+3. TPE builds a probabilistic model from all previous trials, separating the parameter values that gave good results from the ones that gave bad results. The next trial is sampled where good values are more likely, balancing *exploration* of new regions and *exploitation* of promising ones.
+4. After `NUMBER_OF_TRIALS` trials, the parameters with the lowest error are reported.
+
+This way good parameters are usually found with far fewer simulations than with a random or grid search.
+
+### Error modes
+
+The error is selected with the `MODE` variable:
+
+| Mode | Target file | Description |
+|------|-------------|-------------|
+| `total` | `target_data/final_data.csv` | Mean squared error of a metric of the whole tumor over time (e.g. `average_oxygen_all_cells`, `tumor_radius`) |
+| `radius` | `target_data/data_dependent_on_radius_tumor.csv` | Mean squared error of the radial profile of a metric at a fixed minute. Requires `output_information_dependent_on_radius: true` |
+| `custom` | - | User-defined error implemented in `compute_custom_error()` |
+
+Target CSVs must have the same format as the files written by the simulation in `output/`, and are compared on the common values of `total_minutes`.
+
+### Configuration
+
+The sections of the script marked with `Change this` are meant to be adapted to each experiment:
+
+- **Settings:** `EXPERIMENT_ID`, `MODE`, `SEED`, `NUMBER_OF_TRIALS`, `NUMBER_MONTE_CARLO` and `BIODYNAMO_DIR` (path to `thisbdm.sh`).
+- **`run_ABM()`:** fixed simulation configuration written to `params.json` for each run, together with the parameters being calibrated.
+- **`objective()`:** parameters to be calibrated and their search ranges, e.g. `trial.suggest_float("initial_oxygen_level", 30, 40)`.
+- **Error functions:** metric to compare and, for `radius` mode, the minute of the radial profile.
+
+### Running the calibration
+
+Install the dependencies and run the script from the repository root:
+```bash
+pip install -r abm_calibration/requirements.txt
+python3 abm_calibration/optimize.py
+```
+
+Results are stored in `abm_calibration/experiment_<EXPERIMENT_ID>/`:
+- `abm_optuna.db`: SQLite database with all trials. Running again with the same `EXPERIMENT_ID` resumes the study instead of starting from scratch. Setting `NUMBER_OF_TRIALS = 0` just prints the best result stored.
+- `optuna_results.csv`: table with the parameters and error of every trial.
+
+During the calibration ParaView export is disabled, and the original `params.json` and `bdm.toml` are always restored at the end, even if a run fails.
+
+---
+
 ## Acknowledgments
 
 This project builds upon the BioDynaMo simulation framework.
diff --git a/assets/images/model_outline.png b/assets/images/model_outline.png
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From 9f5ff441719b20ebaa9510ba3d1ff6334cb37dc7 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sat, 3 Oct 2026 20:46:56 +0200
Subject: [PATCH 48/54] updated readme file with new parameters

---
 README.md                                     | 121 +++++++++++++++---
 .../cylinder_wall_boundary_condition.h        |   2 +-
 2 files changed, 106 insertions(+), 17 deletions(-)

diff --git a/README.md b/README.md
index 153c3e0..b8529ba 100644
--- a/README.md
+++ b/README.md
@@ -96,7 +96,7 @@ The project is organized into the following components:
 
 ### Configuration Files
 
-- **[`params.json`](params.json)**: JSON-formatted parameter file for configuring simulation runs without recompilation.
+- **[`params.json`](params.json)**: JSON-formatted parameter file for configuring simulation runs without recompilation. In [`params4SphericalModel.json`](params4SphericalModel.json) there is a configuration example for an spherical tumor and in [`params4CylindricalModel.json`](params4CylindricalModel.json) the configuration to simulate a cylindrical one.
 
 - **[`bdm.toml`](bdm.toml)**: BioDynaMo-specific configuration for visualization settings.
 
@@ -366,17 +366,33 @@ These are basic parameters that are commonly changed when designing a treatment
 
 | Parameter | Default Value | Units | Description |
 |-----------|---------------|-------|-------------|
-| `seed` | 1 | - | Seed for random number generation to ensure reproducibility |
+| `seed` | 42 | - | Seed for random number generation to ensure reproducibility |
 | `output_performance_statistics` | false | - | Enable/disable performance statistics output |
 | `total_minutes_to_simulate` | 43200 | minutes | Total simulation time (default: 30 days) |
-| `initial_spherical_tumor_radius` | 150 | μm | Initial radius of the spherical tumor |
+| `tumor_shape` | `"sphere"` | - | Shape of the initial tumor: `"sphere"` or `"cylinder"` |
+| `initial_spherical_tumor_radius` | 150 | μm | Initial radius of the spherical tumor (only used if `tumor_shape` is `"sphere"`) |
+| `cylindrical_tumor_radius` | 3000 | μm | Initial radius of the cylindrical tumor (only used if `tumor_shape` is `"cylinder"`) |
+| `cylindrical_tumor_height` | 100 | μm | Initial height of the cylindrical tumor (only used if `tumor_shape` is `"cylinder"`) |
+| `initial_number_of_cylindrical_tumor_cells` | 2800 | cells | Initial number of tumor cells in the cylindrical tumor (only used if `tumor_shape` is `"cylinder"`) |
 | `bounded_space_length` | 1000 | μm | Length of the cubic simulation domain |
+| `bound_space_toplogy` | `"torus"` | - | Topology of the domain boundaries for the agents: `"torus"`, `"open"` or `"closed"` (see BioDynaMo documentation) |
 | `treatment` | `{0: 3957, 8: 3957}` | day:cells | Map of treatment days to CAR-T cell counts. Key = day, Value = number of cells |
 
 ### Specific Parameters: 
 These are all the other hyperparameters that are not adviced to be modified unless having a deeper understanding of the model and code.
 
 
+#### Domain Boundary Parameters
+
+These parameters restrict the region where cells can be located, e.g. to model physical barriers in cylindrical tumors. Coordinates are expressed in the simulation coordinate system, where the domain extends from `-bounded_space_length/2` to `+bounded_space_length/2`. By default they do not impose any restriction.
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `bounded_space_min_allowed_z` | `-bounded_space_length/2` (-500) | μm | Minimum allowed z coordinate for cells |
+| `bounded_space_max_allowed_z` | `bounded_space_length/2` (500) | μm | Maximum allowed z coordinate for cells |
+| `bounded_space_max_allowed_radius` | `bounded_space_length` (1000) | μm | Maximum allowed distance of cells from the center of the tumor (from the center point for spherical tumors and from the axis for cylindrical ones) |
+
+
 #### Time Step Parameters
 
 | Parameter | Default Value | Units | Description |
@@ -385,7 +401,15 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | `dt_mechanics` | 0.1 | minutes | Time step for mechanical forces between cells |
 | `dt_cycle` | 6 | minutes | Time step for cell cycle progression |
 | `dt_step` | 0.1 | minutes | General simulation time step (same as `dt_mechanics`) |
+
+#### Output Parameters
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
 | `output_csv_interval` | 7200 | steps | Interval for writing simulation data to CSV (default: 12 hours) |
+| `output_information_dependent_on_radius` | false | - | Outputs an additional CSV (`output/data_dependent_on_radius_tumor.csv`) with information aggregated by distance from the center of the tumor (from the center point for spherical tumors and from the axis for cylindrical ones) |
+| `max_radius_analysis_csv_dependent_on_radius` | 3000 | μm | Maximum radius considered in the radius-dependent CSV |
+| `num_radius_intervals` | 10 | - | Number of equal radius intervals, from 0 to `max_radius_analysis_csv_dependent_on_radius`, in which the radius-dependent information is aggregated |
 
 #### Apoptosis Parameters
 
@@ -402,12 +426,42 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | Parameter | Default Value | Units | Description |
 |-----------|---------------|-------|-------------|
 | `resolution_grid_substances` | 50 | voxels/axis | Number of voxels per axis for diffusion grids |
+| `min_initial_z_substances` | `-bounded_space_length/2` (-500) | μm | Minimum height at which the substance grids are initialized to a value different from 0 |
+| `max_initial_z_substances` | `bounded_space_length/2` (500) | μm | Maximum height at which the substance grids are initialized to a value different from 0 |
+
+<u>Oxygen Parameters</u>
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
 | `diffusion_coefficient_oxygen` | 100000 | μm²/min | Diffusion coefficient for oxygen |
 | `decay_constant_oxygen` | 0.1 | min⁻¹ | Decay constant (λ) for oxygen |
-| `diffusion_coefficient_immunostimulatory_factor` | 1000 | μm²/min | Diffusion coefficient for immunostimulatory factor |
-| `decay_constant_immunostimulatory_factor` | 0.016 | min⁻¹ | Decay constant (λ) for immunostimulatory factor |
 | `oxygen_reference_level` | 38 | mmHg | Boundary condition value for oxygen concentration |
 | `initial_oxygen_level` | 38 | mmHg | Initial oxygen concentration in all voxels |
+| `lateral_oxygen_production_min_z` | `-bounded_space_length/2` (-500) | μm | Minimum height at which the Dirichlet oxygen boundary condition is applied. If it equals the domain's minimum z, the floor also produces oxygen |
+| `lateral_oxygen_production_max_z` | `bounded_space_length/2` (500) | μm | Maximum height at which the Dirichlet oxygen boundary condition is applied. If it equals the domain's maximum z, the roof also produces oxygen |
+| `diffuse_oxygen_on_z_axis` | true | - | Whether oxygen also diffuses along the z axis. If false, it only diffuses in the x and y axes (ideal for a 2D model) |
+
+<u>Immunostimulatory Factor Parameters</u>
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `add_immunostimulatory_factor` | true | - | Whether to add the immunostimulatory factor diffusion grid |
+| `diffusion_coefficient_immunostimulatory_factor` | 1000 | μm²/min | Diffusion coefficient for immunostimulatory factor |
+| `decay_constant_immunostimulatory_factor` | 0.016 | min⁻¹ | Decay constant (λ) for immunostimulatory factor |
+| `diffuse_immunostimulatory_factor_on_z_axis` | true | - | Whether the immunostimulatory factor also diffuses along the z axis. If false, it only diffuses in the x and y axes (ideal for a 2D model) |
+
+<u>Glucose Parameters</u>
+
+Glucose is disabled by default. When `add_glucose` is set to `true`, a glucose diffusion grid is added and glucose levels affect tumor cell growth and death (see the glucose parameters in [Tumor Cell Parameters](#tumor-cell-parameters)).
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `add_glucose` | false | - | Whether to add the glucose diffusion grid |
+| `diffusion_coefficient_glucose` | 7800 | μm²/min | Diffusion coefficient for glucose |
+| `decay_constant_glucose` | 0.01 | min⁻¹ | Decay constant (λ) for glucose |
+| `initial_glucose_level` | 24.98 | mmol/L | Initial glucose concentration in each voxel |
+| `max_radius_glucose_initialization` | `bounded_space_length` (1000) | μm | Radius of the sphere (spherical tumor) or cylinder (cylindrical tumor) inside which glucose is initialized. Outside of it glucose is initialized to 0 |
+| `diffuse_glucose_on_z_axis` | true for `"sphere"`, false for `"cylinder"` | - | Whether glucose also diffuses along the z axis. If false, it only diffuses in the x and y axes (ideal for a 2D model) |
 
 #### Mechanical Forces Parameters
 
@@ -430,26 +484,54 @@ These are all the other hyperparameters that are not adviced to be modified unle
 
 | Parameter | Default Value | Units | Description |
 |-----------|---------------|-------|-------------|
-| `rate_secretion_immunostimulatory_factor` | 10 | 1/min | Secretion rate of immunostimulatory factor by tumor cells |
-| `saturation_density_immunostimulatory_factor` | 1 | - | Saturation density for immunostimulatory factor secretion |
 | `oncoprotein_mean` | 1 | - | Mean oncoprotein expression level in tumor cells |
 | `oncoprotein_standard_deviation` | 0.25 | - | Standard deviation of oncoprotein expression |
 | `oncoprotein_limit` | 0.5 | - | Minimum oncoprotein level for CAR-T recognition |
 | `oncoprotein_saturation` | 2.0 | - | Maximum oncoprotein level |
-| `oxygen_saturation_for_proliferation` | 38 | mmHg | Oxygen level for maximum proliferation rate |
-| `oxygen_limit_for_proliferation` | 10 | mmHg | Minimum oxygen level for cell proliferation |
-| `oxygen_limit_for_necrosis` | 5 | mmHg | Oxygen level below which necrosis begins |
-| `oxygen_limit_for_necrosis_maximum` | 2.5 | mmHg | Oxygen level for maximum necrosis probability |
 | `time_lysis` | 86400 | minutes | Time until lysed necrotic cell removal |
-| `maximum_necrosis_lack_of_oxygen_rate` | 0.00277778 | min⁻¹ | Maximum necrosis rate at 0 oxygen (1/360 min⁻¹) |
-| `default_oxygen_consumption_tumor_cell` | 10 | 1/min | Baseline oxygen consumption rate of tumor cells |
-| `default_volume_new_tumor_cell` | 2494 | μm³ | Total volume of newly created tumor cell |
+| `basal_death_probability_cancer_cells` | 0 | min⁻¹ | Basal death probability of tumor cells due to natural random causes |
+| `default_volume_new_tumor_cell` | 2494 | μm³ | Mean total volume of newly created tumor cell |
+| `std_volume_new_tumor_cell` | 0 | μm³ | Standard deviation of the total volume of newly created tumor cells |
+| `min_volume_new_tumor_cell` | 2494 | μm³ | Minimum total volume of newly created tumor cells (sampled volumes are clipped) |
+| `max_volume_new_tumor_cell` | 2494 | μm³ | Maximum total volume of newly created tumor cells (sampled volumes are clipped) |
 | `default_fraction_of_volume_for_nucleus_tumor_cell` |  0.21652 | - | Nuclear volume of newly created tumor cell |
 | `default_fraction_fluid_tumor_cell` | 0.75 | - | Fraction of cytoplasmic volume that is fluid |
 | `average_time_transformation_random_rate` | 38.6 | hours | Mean cell cycle duration |
 | `standard_deviation_transformation_random_rate` | 3.7 | hours | Standard deviation of cell cycle duration |
+| `minimum_tumor_cell_target_volume_fraction_for_division` | 0 | - | Minimum fraction of its target volume a tumor cell must reach to be able to divide |
 | `adhesion_time` | 60 | minutes | Average time tumor cell remains attached to CAR-T before escaping |
 
+<u>Tumor Cell Oxygen Parameters</u>
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `default_oxygen_consumption_tumor_cell` | 10 | 1/min | Baseline oxygen consumption rate of tumor cells |
+| `oxygen_saturation_for_proliferation` | 38 | mmHg | Oxygen level for maximum proliferation rate |
+| `oxygen_limit_for_proliferation` | 10 | mmHg | Minimum oxygen level for cell proliferation |
+| `oxygen_limit_for_necrosis` | 5 | mmHg | Oxygen level below which necrosis begins |
+| `oxygen_limit_for_necrosis_maximum` | 2.5 | mmHg | Oxygen level for maximum necrosis probability |
+| `maximum_necrosis_lack_of_oxygen_rate` | 0.00277778 | min⁻¹ | Maximum necrosis rate at 0 oxygen (1/360 min⁻¹) |
+
+<u>Tumor Cell Immunostimulatory Factor Parameters</u>
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `rate_secretion_immunostimulatory_factor` | 10 | 1/min | Secretion rate of immunostimulatory factor by tumor cells |
+| `saturation_density_immunostimulatory_factor` | 1 | - | Saturation density for immunostimulatory factor secretion |
+
+<u>Tumor Cell Glucose Parameters</u>
+
+These parameters only have an effect when `add_glucose` is `true`.
+
+| Parameter | Default Value | Units | Description |
+|-----------|---------------|-------|-------------|
+| `default_glucose_consumption_tumor_cell` | 0.0007 | 1/min | Baseline glucose consumption rate of tumor cells |
+| `glucose_saturation_for_tumor_cell_growth` | 0 | mmol/L | Glucose level above which tumor cells grow at full speed. Below it, growth slows down linearly, which also delays proliferation since cells must grow before dividing |
+| `glucose_limit_for_tumor_cell_growth` | 0 | mmol/L | Glucose level below which tumor cells stop growing |
+| `glucose_limit_for_death` | 0 | mmol/L | Glucose level below which tumor cells start dying from lack of glucose |
+| `glucose_limit_for_death_maximum` | 0 | mmol/L | Glucose level at which the death probability due to lack of glucose is maximum |
+| `maximum_death_lack_of_glucose_rate` | 0 | min⁻¹ | Maximum death rate due to lack of glucose |
+
 <u>Tumor Cell Volume Relaxation Rates</u>
 
 | Parameter | Default Value | Units | Description |
@@ -479,7 +561,13 @@ These are all the other hyperparameters that are not adviced to be modified unle
 |-----------|---------------|-------|-------------|
 | `average_maximum_time_until_apoptosis_cart` | 12342.86 | minutes | Average CAR-T cell lifespan |
 | `default_oxygen_consumption_cart` | 1 | 1/min | Baseline oxygen consumption rate of CAR-T cells |
-| `default_volume_new_cart_cell` | 2494 | μm³ | Total volume of newly created CAR-T cell |
+| `default_glucose_consumption_cart` | 0.0007 | 1/min | Baseline glucose consumption rate of CAR-T cells (only used if `add_glucose` is `true`) |
+| `default_volume_new_cart_cell` | 2494 | μm³ | Mean total volume of newly created CAR-T cell |
+| `std_volume_new_cart_cell` | 0 | μm³ | Standard deviation of the total volume of newly created CAR-T cells |
+| `min_volume_new_cart_cell` | 2494 | μm³ | Minimum total volume of newly created CAR-T cells (sampled volumes are clipped) |
+| `max_volume_new_cart_cell` | 2494 | μm³ | Maximum total volume of newly created CAR-T cells (sampled volumes are clipped) |
+| `default_fraction_of_volume_for_nucleus_cart_cell` | 0.21652 | - | Nuclear volume fraction of newly created CAR-T cell |
+| `default_fraction_fluid_cart_cell` | 0.75 | - | Fraction of the CAR-T cell volume that is fluid |
 | `kill_rate_cart` | 0.06667 | min⁻¹ | Rate at which CAR-T attempts to kill attached tumor cell |
 | `adhesion_rate_cart` | 0.013 | min⁻¹ | Rate at which CAR-T attempts to attach to tumor cells |
 | `max_adhesion_distance_cart` | 18 | μm | Maximum distance for CAR-T to tumor cell attachment |
@@ -491,7 +579,8 @@ These are all the other hyperparameters that are not adviced to be modified unle
 | Parameter | Default Value | Units | Description |
 |-----------|---------------|-------|-------------|
 | `persistence_time_cart` | 10 | minutes | Average time before CAR-T changes direction |
-| `migration_bias_cart` | 0.5 | - | Chemotaxis bias toward immunostimulatory factor (0=random, 1=fully directed) |
+| `avg_migration_bias_cart` | 0.5 | - | Mean chemotaxis bias toward immunostimulatory factor (0=random, 1=fully directed) |
+| `std_migration_bias_cart` | 0 | - | Standard deviation of the migration bias among CAR-T cells (sampled values are clipped to ≤ 1) |
 | `migration_speed_cart` | 5 | μm/min | CAR-T cell migration speed |
 | `elastic_constant_cart` | 0.01 | - | Elastic constant for CAR-T cell motility |
 
diff --git a/src/diffusion/cylinder_wall_boundary_condition.h b/src/diffusion/cylinder_wall_boundary_condition.h
index ea98ed5..62ceac5 100644
--- a/src/diffusion/cylinder_wall_boundary_condition.h
+++ b/src/diffusion/cylinder_wall_boundary_condition.h
@@ -67,7 +67,7 @@ class CylinderWallBoundaryCondition final : public BoundaryCondition {
   /// Upper z-bound (inclusive) where the boundary condition is active
   real_t max_z_ = 0.0;
 
-  // NOLINTNEXTLINE(modernize-type-traits,llvm-else-after-return,readability-else-after-return)
+  // NOLINTNEXTLINE(modernize-type-traits,llvm-else-after-return,readability-else-after-return,cppcoreguidelines-avoid-non-const-global-variables)
   BDM_CLASS_DEF_OVERRIDE(CylinderWallBoundaryCondition, 1);
 };
 

From cc6858e548bedd5d31e4c9d900cb5f826f596b9f Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sun, 4 Oct 2026 10:55:35 +0200
Subject: [PATCH 49/54] remove axuliar python scripts

---
 .gitignore                                    |   5 +-
 README.md                                     |  17 --
 auxiliar_scripts/analysis_radius_attribute.py | 117 ----------
 auxiliar_scripts/analysis_time_attribute.py   |  97 ---------
 auxiliar_scripts/out/.gitkeep                 |   0
 auxiliar_scripts/plot_cell_death_causes.py    |  97 ---------
 auxiliar_scripts/run_several_simulations.py   | 200 ------------------
 7 files changed, 4 insertions(+), 529 deletions(-)
 delete mode 100644 auxiliar_scripts/analysis_radius_attribute.py
 delete mode 100644 auxiliar_scripts/analysis_time_attribute.py
 delete mode 100644 auxiliar_scripts/out/.gitkeep
 delete mode 100644 auxiliar_scripts/plot_cell_death_causes.py
 delete mode 100644 auxiliar_scripts/run_several_simulations.py

diff --git a/.gitignore b/.gitignore
index 6c81371..8ff13e2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -126,4 +126,7 @@ auxiliar_scripts/out/*.png
 cout.txt
 
 #sqlite database files
-*.db
\ No newline at end of file
+*.db
+
+#auxiliar_scripts
+auxiliar_scripts/
\ No newline at end of file
diff --git a/README.md b/README.md
index b8529ba..f248c63 100644
--- a/README.md
+++ b/README.md
@@ -106,23 +106,6 @@ The project is organized into the following components:
 
 - **[`CARTopiaX_Simulation_Analysis.ipynb`](CARTopiaX_Simulation_Analysis.ipynb)**: Jupyter notebook for post-processing simulation results, generating plots, and statistical analysis.
 
-### Auxiliary Scripts (`auxiliar_scripts/`)
-
-Small Python scripts for running and analyzing simulations. Each one has a *User settings* block at the top that can be edited before running it, and all generated plots and results are saved in `auxiliar_scripts/out/`.
-
-- **[`run_several_simulations.py`](auxiliar_scripts/run_several_simulations.py)**: Runs the simulation several times with different seeds (0 to `NUMBER_EXECUTIONS - 1`) using the configuration defined in `BASE_CONFIG`, and copies the `output/` folder of each run to `out/execution_seed_<seed>`. ParaView export can be enabled or disabled, and the original `params.json` and `bdm.toml` are always restored at the end.
-
-- **[`analysis_time_attribute.py`](auxiliar_scripts/analysis_time_attribute.py)**: Plots any attribute of `output/final_data.csv` (e.g. `tumor_radius`, `num_alive_cart`, `average_oncoprotein`) as a function of time, in days, hours or minutes.
-
-- **[`analysis_radius_attribute.py`](auxiliar_scripts/analysis_radius_attribute.py)**: Plots the radial profile of an attribute at a given minute using `output/data_dependent_on_radius_tumor.csv`. Values can optionally be normalized by the area of each ring.
-
-- **[`plot_cell_death_causes.py`](auxiliar_scripts/plot_cell_death_causes.py)**: Plots in a single graph the radial profile of tumor cell deaths for each cause (lack of oxygen, lack of glucose, random natural causes and CAR-T kill) at a given minute, and prints the total number of deaths of each cause.
-
-The radius-dependent scripts require the simulation to be run with `output_information_dependent_on_radius` set to `true`. Scripts can be run from the repository root, e.g.:
-```bash
-python3 auxiliar_scripts/analysis_time_attribute.py
-```
-
 ### Model Calibration (`abm_calibration/`)
 
 - **[`optimize.py`](abm_calibration/optimize.py)**: Bayesian optimization workflow to calibrate model parameters against target data. See [Model Calibration](#model-calibration-bayesian-optimization).
diff --git a/auxiliar_scripts/analysis_radius_attribute.py b/auxiliar_scripts/analysis_radius_attribute.py
deleted file mode 100644
index 092893f..0000000
--- a/auxiliar_scripts/analysis_radius_attribute.py
+++ /dev/null
@@ -1,117 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file plots the radial profile of one attribute of the simulation at a
-given minute, using output/data_dependent_on_radius_tumor.csv. The CSV has one
-column per attribute and ring, named "<attribute>_<r_in>_to_<r_out>".
-"""
-
-import re
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-import numpy as np
-import pandas as pd
-
-# ---------------------------------------------------------------------------
-# User settings
-# ---------------------------------------------------------------------------
-BASE_DIR = Path(__file__).resolve().parent.parent
-CSV_PATH = BASE_DIR / "output" / "data_dependent_on_radius_tumor.csv"
-RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
-
-# Simulation minute to plot (must exist in the "total_minutes" column)
-MINUTE = 4320
-
-# Attribute to plot (the column prefix without the "_<r_in>_to_<r_out>" suffix).
-# Examples: num_cells_radius, num_tumor_cells_radius, tumor_cells_type1_radius,
-# ..., tumor_cells_type4_radius, tumor_cells_type5_dead_radius,
-# dead_tumor_cells_lack_of_oxygen_radius, dead_tumor_cells_lack_of_glucose_radius,
-# dead_tumor_cells_random_natural_causes_radius,
-# dead_tumor_cells_cartcell_kill_radius, num_alive_cart_radius,
-# num_dead_cart_radius, average_oncoprotein_radius,
-# average_oxygen_cancer_cells_radius, average_oxygen_all_cells_radius,
-# average_glucose_cancer_cells_radius, average_glucose_all_cells_radius
-ATTRIBUTE = "tumor_cells_type5_dead_radius"
-
-# Divide the values by this factor to change units
-# (e.g. 585 converts oxygen from mmHg to mol/m3)
-DIVIDING_FACTOR = 1
-
-# True: divide counts by the ring area, so the value is expressed per um^2
-# instead of as the total amount inside the ring
-APPLY_RADIAL_NORMALIZATION = True
-
-# Y axis limits (None = automatic)
-Y_MIN = 0
-Y_MAX = None
-
-
-def load_profile(csv_path, attribute, minute):
-    """Returns (radii, inner radii, outer radii, values) sorted by radius."""
-    df = pd.read_csv(csv_path)
-    rows = df[df["total_minutes"] == minute]
-    if rows.empty:
-        raise SystemExit(f"Minute {minute} not found in {csv_path}")
-    row = rows.iloc[0]
-
-    pattern = re.compile(rf"^{re.escape(attribute)}_(\d+)_to_(\d+)$")
-    points = []
-    for col in df.columns:
-        match = pattern.match(col)
-        if match and pd.notna(row[col]):
-            r_in, r_out = int(match.group(1)), int(match.group(2))
-            points.append(((r_in + r_out) / 2, r_in, r_out, row[col]))
-
-    if not points:
-        raise SystemExit(f"No columns found matching attribute '{attribute}'")
-
-    points.sort(key=lambda p: p[0])
-    radii, r_in, r_out, values = (np.array(c, dtype=float) for c in zip(*points))
-    return radii, r_in, r_out, values
-
-
-def main():
-    radii, r_in, r_out, values = load_profile(CSV_PATH, ATTRIBUTE, MINUTE)
-
-    if APPLY_RADIAL_NORMALIZATION:
-        values = values / (np.pi * (r_out**2 - r_in**2))
-    values = values / DIVIDING_FACTOR
-
-    print(f"Attribute: {ATTRIBUTE}")
-    print(f"Minute: {MINUTE}")
-    print(f"Radius range with data: {radii[0]:g} to {radii[-1]:g}")
-    print(f"Number of points: {len(radii)}")
-    print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
-
-    fig, ax = plt.subplots(figsize=(8, 5))
-    ax.plot(radii, values, marker="o")
-    ax.set_xlabel("Radius (um)")
-    ax.set_ylabel(ATTRIBUTE + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else ""))
-    ax.set_title(f"{ATTRIBUTE} vs radius - minute {MINUTE}")
-    ax.grid(True, alpha=0.3)
-    if Y_MIN is not None or Y_MAX is not None:
-        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
-    fig.tight_layout()
-
-    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
-    out_path = RESULTS_DIR / f"{ATTRIBUTE}_vs_radius_minute_{MINUTE}.png"
-    fig.savefig(out_path, dpi=150)
-    print(f"Saved plot to {out_path}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/auxiliar_scripts/analysis_time_attribute.py b/auxiliar_scripts/analysis_time_attribute.py
deleted file mode 100644
index 18971cb..0000000
--- a/auxiliar_scripts/analysis_time_attribute.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file plots one attribute of the simulation as a function of time, using
-output/final_data.csv (one row per saved time step, one column per attribute).
-"""
-
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-import pandas as pd
-
-# ---------------------------------------------------------------------------
-# User settings
-# ---------------------------------------------------------------------------
-BASE_DIR = Path(__file__).resolve().parent.parent
-CSV_PATH = BASE_DIR / "output" / "final_data.csv"
-RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
-
-# Attribute to plot (a column of final_data.csv). Options: tumor_radius,
-# num_cells, num_tumor_cells, tumor_cells_type1, ..., tumor_cells_type4,
-# tumor_cells_type5_dead, dead_tumor_cells_lack_of_oxygen,
-# dead_tumor_cells_lack_of_glucose, dead_tumor_cells_random_natural_causes,
-# dead_tumor_cells_cartcell_kill, num_alive_cart, num_dead_cart,
-# average_oncoprotein, average_oxygen_cancer_cells, average_oxygen_all_cells,
-# average_glucose_cancer_cells, average_glucose_all_cells,
-# average_radius_distance_living_cart_cells
-ATTRIBUTE = "average_oncoprotein"
-
-# Time unit of the x axis: "days", "hours" or "minutes"
-TIME_UNIT = "days"
-
-# Divide the values by this factor to change units
-# (e.g. 585 converts oxygen from mmHg to mol/m3)
-DIVIDING_FACTOR = 1
-
-# Y axis limits (None = automatic)
-Y_MIN = None
-Y_MAX = None
-
-COLOR = "#e41a1c"
-
-
-def main():
-    df = pd.read_csv(CSV_PATH)
-
-    time_col = f"total_{TIME_UNIT}"
-    if time_col not in df.columns:
-        raise SystemExit(
-            f"Invalid TIME_UNIT '{TIME_UNIT}' (use days, hours or minutes)"
-        )
-    if ATTRIBUTE not in df.columns:
-        raise SystemExit(
-            f"Attribute '{ATTRIBUTE}' not found in {CSV_PATH}. "
-            f"Available: {', '.join(df.columns[3:])}"
-        )
-
-    time_points = df[time_col]
-    values = df[ATTRIBUTE] / DIVIDING_FACTOR
-
-    print(f"Attribute: {ATTRIBUTE}")
-    print(
-        f"Time range: {time_points.iloc[0]:g} to {time_points.iloc[-1]:g} {TIME_UNIT}"
-    )
-    print(f"Number of points: {len(df)}")
-
-    fig, ax = plt.subplots(figsize=(10, 6))
-    ax.plot(time_points, values, color=COLOR, linestyle="-", linewidth=2)
-    ax.set_xlabel(f"Time ({TIME_UNIT})")
-    ax.set_ylabel(ATTRIBUTE)
-    ax.set_title(f"{ATTRIBUTE} over time")
-    ax.grid(True, linestyle="--", alpha=0.7)
-    if Y_MIN is not None or Y_MAX is not None:
-        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
-    fig.tight_layout()
-
-    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
-    out_path = RESULTS_DIR / f"{ATTRIBUTE}_vs_time.png"
-    fig.savefig(out_path, dpi=150)
-    print(f"Saved plot to {out_path}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/auxiliar_scripts/out/.gitkeep b/auxiliar_scripts/out/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/auxiliar_scripts/plot_cell_death_causes.py b/auxiliar_scripts/plot_cell_death_causes.py
deleted file mode 100644
index 11f94fb..0000000
--- a/auxiliar_scripts/plot_cell_death_causes.py
+++ /dev/null
@@ -1,97 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file plots, in a single graph and at a given minute, the radial profile of
-the tumor cell deaths for each cause (lack of oxygen, lack of glucose, random
-natural causes and CAR-T kill) and prints the total number of deaths of each
-cause (summed over all radii), using output/data_dependent_on_radius_tumor.csv. The CSV has one
-column per attribute and ring, named "<attribute>_<r_in>_to_<r_out>".
-"""
-
-from pathlib import Path
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-from analysis_radius_attribute import load_profile
-
-# ---------------------------------------------------------------------------
-# User settings
-# ---------------------------------------------------------------------------
-BASE_DIR = Path(__file__).resolve().parent.parent
-CSV_PATH = BASE_DIR / "output" / "data_dependent_on_radius_tumor.csv"
-RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
-
-# Simulation minute to plot (must exist in the "total_minutes" column)
-MINUTE = 0
-
-# Death causes: column prefix -> legend label
-DEATH_CAUSES = {
-    "dead_tumor_cells_lack_of_oxygen_radius": "Lack of oxygen",
-    "dead_tumor_cells_lack_of_glucose_radius": "Lack of glucose",
-    "dead_tumor_cells_random_natural_causes_radius": "Random natural causes",
-    "dead_tumor_cells_cartcell_kill_radius": "CAR-T kill",
-}
-
-# True: divide counts by the ring area, so the value is expressed per um^2
-# instead of as the total amount inside the ring
-APPLY_RADIAL_NORMALIZATION = True
-
-# Y axis limits (None = automatic)
-Y_MIN = 0
-Y_MAX = None
-
-
-def main():
-    fig, ax = plt.subplots(figsize=(9, 5.5))
-    radii = None
-    total_deaths = {}
-
-    for attribute, label in DEATH_CAUSES.items():
-        radii, r_in, r_out, values = load_profile(CSV_PATH, attribute, MINUTE)
-        # Total over all rings (raw counts, independent of radius/normalization)
-        total_deaths[label] = float(np.sum(values))
-        if APPLY_RADIAL_NORMALIZATION:
-            values = values / (np.pi * (r_out**2 - r_in**2))
-        ax.plot(radii, values, marker="o", label=label)
-
-    print(f"Minute: {MINUTE}")
-    print("Total deaths by cause (all radii):")
-    for label, count in total_deaths.items():
-        print(f"  {label}: {count:g}")
-    print(f"Radius range with data: {radii[0]:g} to {radii[-1]:g}")
-    print(f"Number of points: {len(radii)}")
-    print(f"Radial normalization applied: {APPLY_RADIAL_NORMALIZATION}")
-
-    ax.set_xlabel("Radius (um)")
-    ax.set_ylabel(
-        "Dead tumor cells" + (" (per um^2)" if APPLY_RADIAL_NORMALIZATION else "")
-    )
-    ax.set_title(f"Tumor cell deaths by cause vs radius - minute {MINUTE}")
-    ax.grid(True, alpha=0.3)
-    ax.legend()
-    if Y_MIN is not None or Y_MAX is not None:
-        ax.set_ylim(bottom=Y_MIN, top=Y_MAX)
-    fig.tight_layout()
-
-    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
-    out_path = RESULTS_DIR / f"cell_death_causes_vs_radius_minute_{MINUTE}.png"
-    fig.savefig(out_path, dpi=150)
-    print(f"Saved plot to {out_path}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/auxiliar_scripts/run_several_simulations.py b/auxiliar_scripts/run_several_simulations.py
deleted file mode 100644
index 4400818..0000000
--- a/auxiliar_scripts/run_several_simulations.py
+++ /dev/null
@@ -1,200 +0,0 @@
-"""
-Copyright 2026 compiler-research.org, Salvador de la Torre Gonzalez
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-    SPDX-License-Identifier: Apache-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-
-This file runs the ABM several times with different seeds and stores the
-output of each execution separately.
-"""
-
-import json
-import shlex
-import shutil
-import subprocess
-from pathlib import Path, PurePosixPath
-
-# ---------------------------------------------------------------------------
-# User settings
-# ---------------------------------------------------------------------------
-NUMBER_EXECUTIONS = 10
-# True to generate visualization files for ParaView, False to disable it
-EXPORT_VISUALIZATION = False
-# Path to thisbdm.sh
-BIODYNAMO_ENV_SCRIPT = "/home/usuario/Desktop/biodynamo/build/bin/thisbdm.sh"
-
-# ---------------------------------------------------------------------------
-# Paths
-# ---------------------------------------------------------------------------
-BASE_DIR = Path(__file__).resolve().parent.parent
-BDM_TOML_PATH = BASE_DIR / "bdm.toml"  # visualization configuration
-PARAMS_PATH = BASE_DIR / "params.json"  # simulation parameters
-SIM_DIR = BASE_DIR / "output"  # folder where the ABM writes its results
-RESULTS_DIR = Path(__file__).resolve().parent / "out"  # destination folder
-
-# ---------------------------------------------------------------------------
-# Simulation parameters (the seed is added for each run)
-# ---------------------------------------------------------------------------
-BASE_CONFIG = {
-    "bound_space_toplogy": "closed",
-    "num_radius_intervals": 100,
-    "lateral_oxygen_production_min_z": -300.0,
-    "lateral_oxygen_production_max_z": 300.0,
-    "min_initial_z_substances": -300.0,
-    "max_initial_z_substances": 300.0,
-    "diffuse_oxygen_on_z_axis": False,
-    "diffuse_glucose_on_z_axis": False,
-    "output_performance_statistics": False,
-    "total_minutes_to_simulate": 1,
-    "output_csv_interval": 600,
-    "bounded_space_length": 6500.0,
-    "tumor_shape": "cylinder",
-    "output_information_dependent_on_radius": True,
-    "cylindrical_tumor_radius": 3000.0,
-    "max_radius_analysis_csv_dependent_on_radius": 3000.0,
-    "cylindrical_tumor_height": 100.0,
-    "initial_number_of_cylindrical_tumor_cells": 28000,
-    "default_volume_new_tumor_cell": 1468.0,
-    "std_volume_new_tumor_cell": 166,
-    "min_volume_new_tumor_cell": 1136.0,
-    "max_volume_new_tumor_cell": 1800.0,
-    "default_volume_new_cart_cell": 269.0,
-    "std_volume_new_cart_cell": 33.625,
-    "min_volume_new_cart_cell": 201.75,
-    "max_volume_new_cart_cell": 336.25,
-    "oncoprotein_mean": 1.0,
-    "oncoprotein_standard_deviation": 0.0,
-    "initial_oxygen_level": 0.0,
-    "oxygen_reference_level": 165.0,
-    "default_oxygen_consumption_tumor_cell": 77.47,
-    "default_glucose_consumption_tumor_cell": 0.045,
-    "diffusion_coefficient_oxygen": 180000.0,
-    "decay_constant_oxygen": 0.01,
-    "time_apoptosis": 6000.0,
-    "time_lysis": 6000.0,
-    "average_time_transformation_random_rate": 72,
-    "standard_deviation_transformation_random_rate": 15.0,
-    "decay_constant_glucose": 0.0005,
-    "oxygen_saturation_for_proliferation": 13.74,
-    "oxygen_limit_for_proliferation": 5.9,
-    "oxygen_limit_for_necrosis_maximum": 0.0,
-    "oxygen_limit_for_necrosis": 7.1,
-    "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,
-    "reduction_consumption_dead_cells": 0.0,
-    "basal_death_probability_cancer_cells": 5e-06,
-    "bounded_space_min_allowed_z": -50.0,
-    "bounded_space_max_allowed_z": 50.0,
-    "bounded_space_max_allowed_radius": 3250.0,
-    "minimum_distance_from_tumor_to_spawn_cart": 0.0,
-    "add_immunostimulatory_factor": True,
-    "add_glucose": True,
-    "diffusion_coefficient_glucose": 7800,
-    "initial_glucose_level": 24.98,
-    "max_radius_glucose_initialization": 3100.0,
-    "treatment": {"0": 560000},
-    "default_oxygen_consumption_cart": 16,
-    "default_glucose_consumption_cart": 0.007,
-    "adhesion_rate_cart": 8.5e-06,
-    "glucose_saturation_for_tumor_cell_growth": 24.98,
-    "glucose_limit_for_tumor_cell_growth": 0,
-    "glucose_limit_for_death": 5,
-    "glucose_limit_for_death_maximum": 0,
-    "maximum_death_lack_of_glucose_rate": 0.000175,
-    "minimum_tumor_cell_target_volume_fraction_for_division": 0.9,
-    "avg_migration_bias_cart": 0,
-    "std_migration_bias_cart": 0.135,
-    "persistence_time_cart": 0,
-    "diffusion_coefficient_immunostimulatory_factor": 100000,
-    "decay_constant_immunostimulatory_factor": 1e-05,
-}
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-def to_wsl_path(path: Path) -> str:
-    """Convert a Windows path (C:\\a\\b) to its WSL form (/mnt/c/a/b)."""
-    drive = path.drive.rstrip(":").lower()
-    return str(PurePosixPath("/mnt", drive, *path.parts[1:]))
-
-
-def build_bdm_command() -> list:
-    """Command that loads the BioDynaMo environment and runs the simulation."""
-    script = f"source {shlex.quote(BIODYNAMO_ENV_SCRIPT)} && bdm run"
-    return ["bash", "-c", script]
-
-
-def set_export_value(path: Path, value: bool):
-    """Set the `export` value in the bdm.toml file."""
-    lines = path.read_text().splitlines()
-    new_lines = [
-        f"export = {str(value).lower()}" if line.strip().startswith("export") else line
-        for line in lines
-    ]
-    path.write_text("\n".join(new_lines) + "\n")
-
-
-# ---------------------------------------------------------------------------
-# Simulation workflow
-# ---------------------------------------------------------------------------
-def run_abm(seed: int):
-    """Write params.json for this seed and run the ABM with BioDynaMo."""
-    config = {"seed": seed, **BASE_CONFIG}
-    with open(PARAMS_PATH, "w") as f:
-        json.dump(config, f, indent=2)
-
-    subprocess.run(build_bdm_command(), check=True, cwd=BASE_DIR)
-
-
-def copy_output(seed: int):
-    """Copy the contents of SIM_DIR to RESULTS_DIR/execution_seed_{seed}."""
-    dest_dir = RESULTS_DIR / f"execution_seed_{seed}"
-
-    if not SIM_DIR.exists():
-        raise FileNotFoundError(f"Results folder not found: {SIM_DIR}")
-
-    if dest_dir.exists():
-        shutil.rmtree(dest_dir)  # avoid mixing results from previous runs
-
-    shutil.copytree(SIM_DIR, dest_dir)
-    print(f"[seed={seed}] Results copied to: {dest_dir}")
-
-
-def run_multiple_seeds(n: int):
-    """Run the ABM with seeds 0..n-1 and save each result separately."""
-    RESULTS_DIR.mkdir(parents=True, exist_ok=True)
-
-    for seed in range(n):
-        print(f"--- Running ABM with seed={seed} ---")
-        run_abm(seed)
-        copy_output(seed)
-
-    print(f"Done: {n} runs completed (seeds 0 to {n - 1}).")
-
-
-def main():
-    # Save the original files to restore them afterwards
-    original_bdm = BDM_TOML_PATH.read_text()
-    original_params = PARAMS_PATH.read_text()
-
-    try:
-        set_export_value(BDM_TOML_PATH, EXPORT_VISUALIZATION)
-        run_multiple_seeds(NUMBER_EXECUTIONS)
-    finally:
-        # Always restore bdm.toml and params.json, even if a run fails
-        BDM_TOML_PATH.write_text(original_bdm)
-        PARAMS_PATH.write_text(original_params)
-
-
-if __name__ == "__main__":
-    main()

From 56f5000ed1388cf124bd25797b9a09d84b60041a Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Sun, 4 Oct 2026 11:03:05 +0200
Subject: [PATCH 50/54] remove final from cart cell class

---
 src/agents/cart_cell.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/agents/cart_cell.h b/src/agents/cart_cell.h
index 8761c08..efd36f1 100644
--- a/src/agents/cart_cell.h
+++ b/src/agents/cart_cell.h
@@ -56,7 +56,7 @@ enum class CarTCellState : int {
 /// simulation. It inherits from the base Cell class and includes specific
 /// behaviors and properties related to CAR-T cell biology, including states,
 /// volume dynamics, and interactions with tumor cells.
-class CarTCell final : public Cell, public ISubstanceInteractor {
+class CarTCell : public Cell, public ISubstanceInteractor {
   // NOLINTNEXTLINE(modernize-type-traits)
   BDM_AGENT_HEADER(CarTCell, Cell, 1);
 

From 7bc3f4392af050aeabc58fed1b5fedd018ecca1e Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 6 Oct 2026 11:43:23 +0200
Subject: [PATCH 51/54] new parameters to test for proliferation dependent on
 oxygen levels

---
 params4CylindricalModel.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/params4CylindricalModel.json b/params4CylindricalModel.json
index 66a3455..c8cd54f 100644
--- a/params4CylindricalModel.json
+++ b/params4CylindricalModel.json
@@ -39,8 +39,8 @@
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
   "decay_constant_glucose": 0.0005,
-  "oxygen_saturation_for_proliferation": 13.74,
-  "oxygen_limit_for_proliferation": 5.9,
+  "oxygen_saturation_for_proliferation": 20,
+  "oxygen_limit_for_proliferation": 10,
   "oxygen_limit_for_necrosis_maximum": 0.0,
   "oxygen_limit_for_necrosis": 7.1,
   "maximum_necrosis_lack_of_oxygen_rate": 7.2214e-05,

From 0d717ca1739b4b23bddaa52b5cd5093ce299cb53 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 6 Oct 2026 12:38:21 +0200
Subject: [PATCH 52/54] fix missleading comment on voxel size for mechanics

---
 src/params/hyperparams.cc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/params/hyperparams.cc b/src/params/hyperparams.cc
index 0589d7b..252ac9d 100644
--- a/src/params/hyperparams.cc
+++ b/src/params/hyperparams.cc
@@ -411,7 +411,7 @@ void SimParam::LoadParams(const std::string& filename) {
   // Calculate steps per day. This is always calculated here
   // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
   steps_in_one_day = static_cast<size_t>(24 * 60 / dt_step);
-  // Calculate the volume of a single mechanical voxel in μm³
+  // Calculate the volume of a single substance voxel in μm³
   voxel_volume =
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *
       (static_cast<real_t>(bounded_space_length) / resolution_grid_substances) *

From f41384148836626620f8e34016832de89bf30c34 Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Thu, 15 Oct 2026 22:25:57 +0200
Subject: [PATCH 53/54] fix bugs and feedback from the PR

---
 README.md                                     | 35 ++++++++++++++++++-
 params4CylindricalModel.json                  |  4 +--
 src/agents/cart_cell.cc                       | 19 ++++++----
 src/agents/tumor_cell.cc                      | 19 ++++++----
 .../cylinder_wall_boundary_condition.h        |  2 +-
 src/diffusion/diffusion_thomas_algorithm.cc   |  2 +-
 src/diffusion/diffusion_thomas_algorithm.h    |  2 +-
 src/forces/forces_tumor_cart.h                |  2 +-
 8 files changed, 64 insertions(+), 21 deletions(-)

diff --git a/README.md b/README.md
index f248c63..f019077 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,40 @@ Together, these features make **CARTopiaX** a powerful computational tool for in
 
 The diagram below illustrates the **agents and main mechanics** interacting within CARTopiaX:
 
-![Model Diagram](./assets/images/model_outline.png)
+
+<!-- ![Model Diagram](./assets/images/model_outline.png) -->
+```mermaid
+---
+config:
+  flowchart:
+    curve: basis
+---
+flowchart LR
+    CART("CAR-T Cell")
+    IMMUNO(("Immunostimulatory<br>factor"))
+    OXY(("Oxygen"))
+    GLU(("Glucose"))
+    TUMOR("Tumor Cell")
+    ONCO(("Oncoprotein<br>Level"))
+    NOTE["Represents<br>the antigen<br>expression of the<br>tumor cell.<br>Cells with higher<br>oncoprotein levels are<br>more proliferative but<br>also more likely to be<br>killed by CAR-T cells."]
+
+    CART -->|"moved by<br>chemotaxis<br>towards"| IMMUNO
+    IMMUNO <-->|"secretes"| TUMOR
+    CART -->|"Induces apoptosis to"| TUMOR
+    OXY -->|"lack of it<br>induces<br>necrosis"| TUMOR
+    OXY <-->|"consumes"| TUMOR
+    CART -->|"consumes"| OXY
+    GLU <-->|"consumes"| TUMOR
+    GLU -->|"lack of it<br>induces<br>apoptosis"| TUMOR
+    CART -->|"consumes"| GLU
+    TUMOR -->|"expresses"| ONCO
+    ONCO -.- NOTE
+
+    linkStyle 1,4,6 marker-end:none
+    classDef cell font-size:22px
+    class CART,TUMOR cell
+```
+
 
 
 The project is organized into the following components:
diff --git a/params4CylindricalModel.json b/params4CylindricalModel.json
index c8cd54f..33a4529 100644
--- a/params4CylindricalModel.json
+++ b/params4CylindricalModel.json
@@ -33,12 +33,12 @@
   "default_oxygen_consumption_tumor_cell": 77.47,
   "default_glucose_consumption_tumor_cell": 0.045,
   "diffusion_coefficient_oxygen": 180000.0,
-  "decay_constant_oxygen": 0.01,
+  "decay_constant_oxygen": 0.006666666666666667,
   "time_apoptosis": 6000.0,
   "time_lysis": 6000.0,
   "average_time_transformation_random_rate": 72,
   "standard_deviation_transformation_random_rate": 15.0,
-  "decay_constant_glucose": 0.0005,
+  "decay_constant_glucose": 0.0003333333333333333,
   "oxygen_saturation_for_proliferation": 20,
   "oxygen_limit_for_proliferation": 10,
   "oxygen_limit_for_necrosis_maximum": 0.0,
diff --git a/src/agents/cart_cell.cc b/src/agents/cart_cell.cc
index 4aa959f..cfec9f6 100644
--- a/src/agents/cart_cell.cc
+++ b/src/agents/cart_cell.cc
@@ -337,10 +337,12 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
       radi_sq = next_position[0] * next_position[0] +
                 next_position[1] * next_position[1];
       if (radi_sq > max_r_sq) {
-        // Scale down the movement to stay within the allowed radius
+        // Project the target position radially onto the allowed boundary
         const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-        movement_at_next_step[0] *= scale_factor;
-        movement_at_next_step[1] *= scale_factor;
+        movement_at_next_step[0] =
+            next_position[0] * scale_factor - current_position[0];
+        movement_at_next_step[1] =
+            next_position[1] * scale_factor - current_position[1];
       }
       break;
     }
@@ -351,11 +353,14 @@ Real3 CarTCell::CalculateDisplacement(const InteractionForce* force,
                 next_position[1] * next_position[1] +
                 next_position[2] * next_position[2];
       if (radi_sq > max_r_sq) {
-        // Scale down the movement to stay within the allowed radius
+        // Project the target position radially onto the allowed boundary
         const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-        movement_at_next_step[0] *= scale_factor;
-        movement_at_next_step[1] *= scale_factor;
-        movement_at_next_step[2] *= scale_factor;
+        movement_at_next_step[0] =
+            next_position[0] * scale_factor - current_position[0];
+        movement_at_next_step[1] =
+            next_position[1] * scale_factor - current_position[1];
+        movement_at_next_step[2] =
+            next_position[2] * scale_factor - current_position[2];
       }
       break;
     }
diff --git a/src/agents/tumor_cell.cc b/src/agents/tumor_cell.cc
index c29364e..aaacdeb 100644
--- a/src/agents/tumor_cell.cc
+++ b/src/agents/tumor_cell.cc
@@ -357,10 +357,12 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
       radi_sq = next_position[0] * next_position[0] +
                 next_position[1] * next_position[1];
       if (radi_sq > max_r_sq) {
-        // Scale down the movement to stay within the allowed radius
+        // Project the target position radially onto the allowed boundary
         const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-        movement_at_next_step[0] *= scale_factor;
-        movement_at_next_step[1] *= scale_factor;
+        movement_at_next_step[0] =
+            next_position[0] * scale_factor - current_position[0];
+        movement_at_next_step[1] =
+            next_position[1] * scale_factor - current_position[1];
       }
       break;
     }
@@ -371,11 +373,14 @@ Real3 TumorCell::CalculateDisplacement(const InteractionForce* force,
                 next_position[1] * next_position[1] +
                 next_position[2] * next_position[2];
       if (radi_sq > max_r_sq) {
-        // Scale down the movement to stay within the allowed radius
+        // Project the target position radially onto the allowed boundary
         const double scale_factor = std::sqrt(max_r_sq / radi_sq);
-        movement_at_next_step[0] *= scale_factor;
-        movement_at_next_step[1] *= scale_factor;
-        movement_at_next_step[2] *= scale_factor;
+        movement_at_next_step[0] =
+            next_position[0] * scale_factor - current_position[0];
+        movement_at_next_step[1] =
+            next_position[1] * scale_factor - current_position[1];
+        movement_at_next_step[2] =
+            next_position[2] * scale_factor - current_position[2];
       }
       break;
     }
diff --git a/src/diffusion/cylinder_wall_boundary_condition.h b/src/diffusion/cylinder_wall_boundary_condition.h
index 62ceac5..fd8a95d 100644
--- a/src/diffusion/cylinder_wall_boundary_condition.h
+++ b/src/diffusion/cylinder_wall_boundary_condition.h
@@ -44,7 +44,7 @@ namespace bdm {
 /// will also secrete value_ at that layer. Callers who need to guarantee
 /// that floor/roof never secrete, regardless of the configured range,
 /// should choose min_z_/max_z_ strictly inside the domain bounds.
-class CylinderWallBoundaryCondition final : public BoundaryCondition {
+class CylinderWallBoundaryCondition : public BoundaryCondition {
   using BoundaryCondition::BoundaryCondition;
 
  public:
diff --git a/src/diffusion/diffusion_thomas_algorithm.cc b/src/diffusion/diffusion_thomas_algorithm.cc
index 1201ad2..7c7bdc2 100644
--- a/src/diffusion/diffusion_thomas_algorithm.cc
+++ b/src/diffusion/diffusion_thomas_algorithm.cc
@@ -56,7 +56,7 @@ DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(
       jump_(resolution_ * resolution_),
       spatial_diffusion_coeff_(dc * dt / (d_space_ * d_space_)),
       neg_diffusion_factor_(-spatial_diffusion_coeff_),
-      temporal_decay_coeff_(mu * dt / 3.0),
+      temporal_decay_coeff_(mu * dt / (diffuse_on_z_axis ? 3.0 : 2.0)),
       central_coeff_(1.0 + 2 * spatial_diffusion_coeff_ +
                      temporal_decay_coeff_),
       edge_coeff_(1.0 + spatial_diffusion_coeff_ + temporal_decay_coeff_),
diff --git a/src/diffusion/diffusion_thomas_algorithm.h b/src/diffusion/diffusion_thomas_algorithm.h
index 351a17a..c9c31fa 100644
--- a/src/diffusion/diffusion_thomas_algorithm.h
+++ b/src/diffusion/diffusion_thomas_algorithm.h
@@ -36,7 +36,7 @@ namespace bdm {
 ///
 /// Implements the diffusion equation, solved implicitly: ∂t u = ∇D∇u - μu
 /// Uses the Thomas algorithm for solving tridiagonal systems efficiently.
-class DiffusionThomasAlgorithm final : public DiffusionGrid {
+class DiffusionThomasAlgorithm : public DiffusionGrid {
  public:
   DiffusionThomasAlgorithm()
       : resolution_(0),
diff --git a/src/forces/forces_tumor_cart.h b/src/forces/forces_tumor_cart.h
index 72c037e..3da9d28 100644
--- a/src/forces/forces_tumor_cart.h
+++ b/src/forces/forces_tumor_cart.h
@@ -34,7 +34,7 @@ namespace bdm {
 /// cells and CAR-T cells). It extends the base InteractionForce class to
 /// provide custom force calculations specific to the tumor-CAR-T cell
 /// interaction simulation.
-class InteractionVelocity final : public InteractionForce {
+class InteractionVelocity : public InteractionForce {
  public:
   InteractionVelocity() = default;
   InteractionVelocity(const InteractionVelocity&) = default;

From 45a003e23e5b254f015df833d96c6c478d4a40db Mon Sep 17 00:00:00 2001
From: salva24 <delatorregonzalezsalvador@gmail.com>
Date: Tue, 20 Oct 2026 00:05:37 +0200
Subject: [PATCH 54/54] avoid magic numbers warning

---
 src/diffusion/diffusion_thomas_algorithm.cc | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/diffusion/diffusion_thomas_algorithm.cc b/src/diffusion/diffusion_thomas_algorithm.cc
index 7c7bdc2..bb6e495 100644
--- a/src/diffusion/diffusion_thomas_algorithm.cc
+++ b/src/diffusion/diffusion_thomas_algorithm.cc
@@ -56,6 +56,7 @@ DiffusionThomasAlgorithm::DiffusionThomasAlgorithm(
       jump_(resolution_ * resolution_),
       spatial_diffusion_coeff_(dc * dt / (d_space_ * d_space_)),
       neg_diffusion_factor_(-spatial_diffusion_coeff_),
+      // NOLINTNEXTLINE(cppcoreguidelines-avoid-magic-numbers,readability-magic-numbers)
       temporal_decay_coeff_(mu * dt / (diffuse_on_z_axis ? 3.0 : 2.0)),
       central_coeff_(1.0 + 2 * spatial_diffusion_coeff_ +
                      temporal_decay_coeff_),