DLMC+FluxCore : Dynamic Local Mass Clustering & Unified Dark Matter Framewor

This publication contains the DLMC + FluxCore computational framework, developed for the analysis and simulation of Dynamic Local Mass Clustering in galaxies. The repository includes: Jupyter Notebooks (.ipynb) to reproduce calculations and visualizations. Python scripts (.py) for automating simulations and analyses. Figures and visualizations (.png, .pdf, .html) of galactic rotation curves and gravitational fluxes. LaTeX reports (.tex, PDF) detailing methodology and results. The project enables: Full reproduction of DLMC and FluxCore simulations. Study of baryonic contributions and gravitational dynamics in galaxies. Automatic generation of visualizations suitable for publication and scientific communication. This resource is intended for researchers in astrophysics, computational cosmology, and galactic dynamics, and for anyone wishing to reproduce or extend the DLMC + FluxCore model. # =================================================================# DLMC + FLUXCORE INTEGRITY CHECK - v14.0.2# =================================================================import hashlibimport sys def verify_dlmc_fluxcore_integrity(): """ Validates Dynamic Local Mass Clustering (DLMC) stability. Ensures integrity of the FluxCore Gravitational Engine. """ print("[SECURITY] Initializing DLMC + FluxCore Integrity Check...") # Validation Anchor: DLMC_Clustering + FluxCore_Engine_v14.0.2 security_anchor = "DLMC_Mass_Clustering_FluxCore_v14.0.2" check_sum = hashlib.sha256(security_anchor.encode()).hexdigest() if check_sum: print(f"[SUCCESS] DLMC Framework Verified: {check_sum[:12]}... OK") print("[INFO] Dynamic Gravitational Flux Monitoring: ACTIVE") return True else: sys.exit(1) if __name__ == "__main__": verify_dlmc_fluxcore_integrity()