CCEGA Part V TOV Integration Code: GR vs CCEGA Numerical Comparison

Supplementary code and technical documentation for: López Sánchez, M. (2026). CCEGA: Information-Driven Gravity and the Mass Gap Problem. Zenodo. doi: 10. 5281/zenodo. 19539744 Complete Python implementation of modified Tolman-Oppenheimer-Volkoff (TOV) solver for General Relativity baseline and CCEGA framework comparison with APR4 equation of state. CONTENTS: - GRᵥsCCEGAVERIFIED. py: Executable Python code (3. 8+) - CODEDOCUMENTATIONVFINAL. pdf: Technical documentation with line-by-line explanation, physical interpretation, and convergence analysis FEATURES: - RK45 (Dormand-Prince 5th order) numerical integration- Automatic surface detection and validity checking- Density scan: 15 logarithmically-spaced points- Separate GR baseline (4 variables) and CCEGA (5 variables) solvers- Mass-radius diagram plotting- Console output with convergence statistics RESULTS: - GR Mₘax = 1. 9885 ± 0. 0012 M_☉ (verified vs Read et al. 2009) - CCEGA Mₘax = 4. 3479 ± 0. 0085 M_☉- Enhancement: 2. 19× (118. 7% increase) - Convergence: 13/15 (GR), 15/15 (CCEGA) REQUIREMENTS: Python 3. 8+ with scipy. integrate. solveᵢvp, numpy, matplotlib USAGE: Option A (Google Colab): Copy code into single cell, execute, wait 2-3 minutesOption B (Local Python): pip install numpy scipy matplotlib, then python GRᵥsCCEGAVERIFIED. py REPRODUCIBILITY: All numerical results in main paper (Part V) are fully reproducible from this code. APR4 equation of state parameters are hardcoded. No external data files required. PARAMETERS (user-adjustable): - RHOC = 7. 4 × RHONUC (critical density, MIT bag model) - Integration tolerances: rtol=1e-5, atol=1e-11- Density range: logspace (14. 7, 15. 698, 15) LIMITATIONS: - Spherically symmetric (no rotation) - Hydrostatic equilibrium only- Single EOS (APR4) - Quasi-static information field approximation- No perturbation stability analysis VERSION: 1. 0AUTHOR: Marc López Sánchez (ORCID: 0009-0005-6356-3702) DATE: April 12, 2026