Dark Matter Self-Interaction Detection - Extended Human-Readable Reproducibility Dataset (Precision Cascade Cosmology Series Part IV)

This extended dataset provides the complete, human-readable representation of the reproducibility framework accompanying “Dark Matter Microphysics — Detection of Self-Interactions and Cosmic Consequences” (Precision Cascade Cosmology Series Part IV).

It contains the full evidence chain supporting the 7.2 σ empirical detection of self-interacting dark matter (SIDM) with a cross-section of ≈ 0.35–0.45 cm² g⁻¹.

All data tables, code listings, protocols, and validation rules are presented in transparent text form to permit line-by-line audit and exact numerical reproduction of the published result.

The archive integrates simulation inputs (FIRE-2, IllustrisTNG, EAGLE-XL, Auriga), observational probes (Gaia EDR3, HSC, DESI, eROSITA), and the Precision Cascade propagation that yields the discovery-level aggregate significance.

It serves both as a pedagogical example of open computational cosmology and as a formal reproducibility companion for independent verification and meta-analysis.

The Extended Human-Readable Dataset is the static-text counterpart to the machine-readable Lab-Grade Reproducibility Pack v2.x for Paper 4.It reproduces every logical component of the discovery pipeline in a format optimized for accessibility, peer review, and long-term archival transparency.

Contents

data/ — canonical CSV files: simulations, observations, covariance matrices, cascade parameters, and golden outputs (7.20 ± 0.30 σ).

code/ — complete Python listings (minimal_run.py, fit_cross_section.py, reproduce_structure_formation_sidm.ipynb, export_results.py).

protocol/ — replication guide, environment files, and continuous-integration workflow.

supplements/ — derivations, error budgets, and figure inventories.

transparency/ — explicit audit notes, assumptions, and glossary.

PurposeTo guarantee that every numerical result in Dark Matter Microphysics — Detection of Self-Interactions and Cosmic Consequences can be re-derived exactly, without hidden dependencies or proprietary software.All files are UTF-8 encoded, version-locked, and validated by automated CI and SHA-256 checksums.

Use and AudienceDesigned for cosmologists, data scientists, and reproducibility reviewers who require full traceability from input data to published discovery significance.The dataset can also serve educators as a model of open, auditable research practice in computational astrophysics.

CitationIf used, please cite both the main paper and this dataset:

Jeffrey, D. (2025). Dark Matter Microphysics — Detection of Self-Interactions and Cosmic Consequences.Precision Cascade Cosmology Series Part IV. DOI 10.5281/zenodo.17438138

Jeffrey, D. (2025). Dark Matter Self-Interaction Detection — Extended Human-Readable Reproducibility Dataset (Precision Cascade Cosmology Series Part IV).

cosmology  dark matter  self-interacting dark matter  SIDM  structure formation  weak lensing  precision cascade  reproducibility  open science  data provenance  FIRE-2  IllustrisTNG  EAGLE-XL  Auriga  Gaia EDR3  DESI  eROSITA