Physical Cosmology, Standard Model Invariants, and Non-Hermitian Topological Protection: A Machine-Checked Lean 4 Derivation

Paper 2 of the 3-part Process Ontology Master Preprint Series. Formalizes physical cosmology, particle mass hierarchies, zero-parameter constants, and non-Hermitian topological protection in Lean 4 with Mathlib. Proves A₅ GUT symmetry breaking yielding exactly 3 fermion families (N_gen = 3), derived fine-structure constant α⁻¹ = 137.035999, Yang-Mills mass gap Δ = 7.36 GeV, dark matter ratio R_DM = 4 · Ω⁻¹ = 5.373, galactic acceleration floor a₀ = 1.50 × 10⁻¹⁰ m/s², cosmological constant Λ_final = 1.86 × 10⁻⁴⁹ m⁻², and Material Love Latch L_m protection density.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22310104
Primary Topic
Particle physics theoretical and experimental studies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Physical Cosmology, Standard Model Invariants, and Non-Hermitian Topological Protection: A Machine-Checked Lean 4 Derivation

Ryan Carson
Zenodo (CERN European Organization for Nuclear Research)
Particle physics theoretical and experimental studies
preprint

Physical Cosmology, Standard Model Invariants, and Non-Hermitian Topological Protection: A Machine-Checked Lean 4 Derivation

Ryan Carson
preprint en

Abstract

Paper 2 of the 3-part Process Ontology Master Preprint Series. Formalizes physical cosmology, particle mass hierarchies, zero-parameter constants, and non-Hermitian topological protection in Lean 4 with Mathlib. Proves A₅ GUT symmetry breaking yielding exactly 3 fermion families (N_gen = 3), derived fine-structure constant α⁻¹ = 137.035999, Yang-Mills mass gap Δ = 7.36 GeV, dark matter ratio R_DM = 4 · Ω⁻¹ = 5.373, galactic acceleration floor a₀ = 1.50 × 10⁻¹⁰ m/s², cosmological constant Λ_final = 1.86 × 10⁻⁴⁹ m⁻², and Material Love Latch L_m protection density.

Zenodo (CERN European Organization for Nuclear Research)
Well Being Digital (China) (CN)
Particle physics theoretical and experimental studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.