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fine-structure-constant

Here are 34 public repositories matching this topic...

Geometric-Electromagnetic Model (GEM): A topological reformulation of the quantum vacuum as a Riemann-Cartan manifold with icosahedral substructure. Includes the published paper (DOI: 10.5281/zenodo.21268209), foundational documents, and experimental protocols.

  • Updated Jul 12, 2026
  • TeX
ppm-framework

Computational companion to Projective Process Monism. Derives Standard Model parameters and cosmological constants from CP³/RP³ topology + one empirical anchor (m_π). Sliders, fixed-comparison falsification tests, and a live active-inference demo let you test the framework. Companion notebook walks every derivation.

  • Updated May 9, 2026
  • Python

Universal correction b = 2γ_E + ln(2π/√7) and the fine-structure constant α — standalone reproducible companion to the bilingual monograph by Isaev Iskhak Khamzatovich. α⁻¹ agrees with CODATA-2022 to 0.27 ppm, no fitting parameters.

  • Updated Aug 10, 2026
  • Python

Official repository for the non-perturbative derivation of the fine-structure constant (α⁻¹). A parameter-free spectral action model matching CODATA 2022 within 1.5 × 10⁻¹⁴. Features the complete Python validation suite (Monte Carlo LEE audit, PSLQ, SciPy RG flow) and mechanized mathematical proofs certified in Lean 4.

  • Updated Jul 15, 2026
  • Jupyter Notebook

Zero-axiom Smithian Fold Theory with exact machine-checked derivations across physics, mathematics, classical computation, and quantum computation

  • Updated Jul 23, 2026
  • C

Official Archive of the QCK Framework. A bilingual (EN/DE) collection of 46 papers redefining physics and algorithmic cognition through topological mechanics and discrete 3D vacuum geometry. A parameter-free ontology resolving standard model anomalies.

  • Updated Apr 9, 2026

58 fundamental constants derived from E₈ → H₄ icosahedral geometry with zero free parameters — includes a self-sustaining solver and falsifiable predictions.

  • Updated Aug 10, 2026
  • Python

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