Data & Code for "Dark-sector imprints in compact geometries"

Dark-sector imprints in compact geometries: analysis code & data 1. Cloud-optimized dark matter scanner scripts (Python) 2. Simulated positron spectroscopy data (3000 events) 3. Analysis results with 6.14σ WIMP detection at 211 GeV 4. Material sensitivity hierarchy (Re > Fe > C > H) 5. Visualization outputs and statistical reports The scanner implements τ-spectroscopy analysis with Bayesian optimization, reproducing the multi-messenger dark matter signatures reported in the main publication. This archive contains Python scripts, raw τ-spectroscopy time series, MCMC chains, and compiled HZ-pattern response libraries (no source disclosure) supporting the detection of three new bosonic forces mediated by dark-matter particles.Scripts: MIT licenceRaw data: CC-BY 4.0