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hubble-tension

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🌌 Modular Substrate Theory (MST): Resolves the H₀ & S₈ cosmological tensions via informational friction. Based on the discrete ℤ₆⁽¹⁾ vacuum symmetry, it derives cosmic impedance from first principles. Repo includes the manuscript, Bayesian validation (ΔBIC=-12.1), & reproducible Jupyter notebooks. 🔭

  • Updated Jul 9, 2026
  • Jupyter Notebook

The Cepheid Bias: Resolving the Hubble Tension — Environment-dependent Cepheid clock bias under TEP. Generative clock-aware model across 37 SH0ES hosts yields H0 = 66.65 ± 1.58 km/s/Mpc, consistent with Planck at 0.45σ. M31 and OGLE-IV differential tests confirm the predicted sign.

  • Updated Aug 21, 2026
  • Python

Zx_RieOS_v1.1: Complete zero-parameter Theory of Everything. Z_t = Z + C + A unifies Riemann zeros with GR. Solves Dark Energy, Hubble Tension, Planck Hierarchy. 0 free parameters. DOI: 10.5281/zenodo.19963026 https://jabri-com.vercel.app/

  • Updated Sep 3, 2026
  • Jupyter Notebook

CoDE-4: A Self-Consistent Cosmology Solver for Resolving Expansion and Structure Formation Tensions CoDE-4 (Cosmological Dynamical Engine v4) is an independent numerical cosmology framework designed to explore extensions to the standard ΛCDM model while preserving observational consistency across multiple epochs of cosmic evolution.

  • Updated Aug 5, 2026
  • Python

A fully reproducible audit of public Hubble-tension inference, integrating frozen authorities, cross-season validation, claim–evidence traceability, and offline numerical reproduction.

  • Updated Aug 20, 2026
  • Python
parabolic-metric-evolution

A bilocal geometric framework on a complex manifold that derives gravity, the baryonic Tully–Fisher relation, and Type Ia supernova luminosity distances from a single kinematic acceleration scale, without dark matter or dark energy.

  • Updated Jun 12, 2026
  • Wolfram Language

Book 0 of the Dark Geometry series — the canonical reference volume (806 pages) gathering the founding papers of the framework into one source. One axiom (spacetime volume = information) and one input, d=3, from which the dark sector, the cosmic tensions, and the Standard-Model constants follow.

  • Updated Jun 17, 2026
  • Python

Code for Book I of the Dark Geometry series — Informational Relativity. One axiom (spacetime volume = information) and d=3 derive the dark sector, the exact Hubble ratio 11/10, σ8, Newton's constant and the coupling identity Δn/ξ=20/27π². Reproduces every number + a 5-chain numerical proof of the axiom. Zero free parameters.

  • Updated Jun 17, 2026
  • Python

Dark Geometry: a unified geometric framework deriving spacetime, the Standard Model spectrum, dark matter, dark energy and the cosmological constant from a single input, d = 3. Formula index, 12 companion articles (LaTeX + compiled PDFs), all reference figures, and Zenodo DOIs of the five-book series. CC BY 4.0.

  • Updated Jul 2, 2026
  • TeX

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