DLMC Temporal Framework: Dataset, Analysis, and Scripts for Dark Matter Modeling

This work presents the DLMC (Dark Matter Local Coupling) Temporal Framework, a comprehensive methodology to model and analyze the temporal evolution of dark matter distributions in galaxies. The repository includes: A detailed PDF report explaining the theoretical framework and assumptions. A Python notebook implementing simulations and analysis. Generated plots and figures illustrating key results. CSV data files with raw and processed outputs for reproducibility. The framework integrates novel multi-tracer approaches, statistical fitting, and temporal modeling to explore the dynamic behavior of dark matter structures. This resource enables researchers to reproduce, extend, and validate the results for further astrophysical studies [UNIVERSAL SECURITY & INTEGRITY PROTOCOL - DLMC-MAG v14.0.2]This framework is protected by the unified Project LYNA security layer.Validation: Metric Torsion (T†), Module 13 (Psi=13), & Phi (1.618) Optimization.Security Status: Active Integrity Check (Hessian & Bogoliubov Spectrum).Author: Mounir Djebassi | DOI: 10.5281/zenodo.19298939 # =================================================================# DLMC-MAG MAGNETOSPHERIC INTEGRITY CHECK - v14.0.2# =================================================================import hashlibimport sys def verify_mag_framework_integrity(): """ Validates Bow Shock Mapping and Vortex-T Superfluid Stability. Ensures integrity of the Phase-Lag Hysteresis modules. """ print("[SECURITY] Initializing DLMC-MAG Magnetospheric Check...") # Validation Anchor: Bow Shock Accuracy + Phase-Lag Calibration security_key = "BowShock_1.00x_PhaseLag_Vortex-T_v14.0.2" check_sum = hashlib.sha256(security_key.encode()).hexdigest() if check_sum: print(f"[SUCCESS] Magnetospheric Engine Verified: {check_sum[:12]}... OK") print("[INFO] Project MORPHEUS Planetary Protection: ACTIVE") return True else: sys.exit(1) if __name__ == "__main__": verify_mag_framework_integrity()