Spectral Complexity of the Non-Singular Jammed Vacuum Core in STDM: A Multi-Scale Framework for Observational Validation Across Relativistic Attractors

STDM MULTI-SCALE COMPUTATIONAL ENGINE & REPLICATION ASSET BUNDLEAuthor: Aleksandr A. Moiseenko This persistent repository contains the primary algorithmic infrastructure and digital replication package for the Special Theory of Dark Matter (STDM) framework, optimized for sub-horizon quantum core validation across relativistic attractors. ### REPOSITORY ARCHITECTURE:1. STDM_Quantum_Core_Solver_v2.py — The core monolithic Python script executing standard LAPACK matrix spectral extraction, discrete Ricci flow manifold relaxation iterations, and 3D Delaunay space-mesh triangulation maps.2. /scientific_plots_v2 — Complete production catalog of 65 distinct high-resolution graphic assets, including 3D Kerr polar oblateness profiles, thermodynamic Hawking-jamming balance curves, and 2D equatorial Lense-Thirring space-time vorticity maps.3. README.txt — Comprehensive installation, execution limits audit, and scale-invariance configuration documentation. ### HARDWARE EXECUTION & DIAGNOSTIC MODES:- Production Deployment: Configured at N = 4000 matrix dimensions to ensure 7-digit alignment with the primary manuscript's analytical tables (estimated runtime: 40–50 minutes on standard distributed CPU nodes).- Evaluation Mode: The code supports rapid architectural debugging and validation. A specialized 'QUANTUM_FLUCTUATION_MODE' flag can be activated at N = 400 to visually benchmark real-time stochastic Wigner-Dyson noise injections and counter-rotating sub-horizon turbulence currents without causing workstation memory overflow. Distributed under an open-access framework to ensure verifiable replication, independent scientific audit, and full transparency of the computational pipeline.