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TRXT-Nullivance

Induced Superfluid Cosmology: A Theoretical Framework for Emergent Gravity and Dark Matter

A research program exploring a unified framework in which gravity is induced and fundamental particles emerge as topological solitons in a superfluid vacuum condensate.

Current state (2026-08 standardization campaign): the topological mass tower $M(p,q) = 3.95,N_f M\sqrt{\ln},(pq)^{3/4}$ (ground state 184–201 TeV; the legacy harmonic law $M^*(1/p+1/q)$ is demoted to breathing-mode fine structure); galaxy dynamics from the participation law $u = u_N + u_0,u_N/u$ with $a_0 = cH_0/2\pi$ (zero globally fitted parameters, ledger-preregistered pass); the CMB gate runs on real Planck 2018 binned spectra; every quantitative claim traces to committed code and a log. See theory/RESEARCH_LOG.md and the global referee report (theory/reviews/referee_report_global_20260814.md).

Reproducibility index (verification suite)

Run from repo root with PYTHONIOENCODING=utf-8. Each script writes a committed log to results/logs/:

Script (experiments/verification/) Verifies Log
formula_audit.py 21 report formulas/numbers formula_audit_20260813.log
vf_chain_audit.py Cl(6)→M* chain + fragility vf_chain_audit_20260814.log
lattice_C_computation.py C = 50/(3π); 5.339 struck lattice_C_computation_20260814.log
quasi1d_C_model.py quasi-1D frame; locking; 1/q quasi1d_C_model_20260814.log
bcs_gap_equation_comb.py transmutation slope protection bcs_gap_comb_20260814.log
vortex_state_counting.py one core state per cell vortex_state_counting_20260814.log
bdg_vortex_comb.py BdG: self-consistency; CdGM count bdg_vortex_comb_20260814.log
scheme_conventions_audit.py prefactor/g=4/look-elsewhere scheme_conventions_20260814.log
gap_s_screening.py screening dichotomy theorem gap_s_screening_20260814.log
mu_participation_law.py participation law; zero-param SPARC mu_participation_20260814.log
gap_n4d_relic.py tower relic: symmetric excluded gap_n4d_relic_20260814.log
sidm_crosssection_audit.py SIDM table audit (FAIL recorded) sidm_audit_20260814.log
audit_sweep2.py Koide/neutrino/BBN sweep audit_sweep2_20260814.log

Gates: python scripts/run_gates.py (criteria frozen in scripts/gates_criteria.json; changes ledger-logged in results/logs/gate_ledger.md).

Repository structure

├── theory/              Scientific record: protocols, derivation notes, audits
│   ├── protocols/       Research laws, derivation checklist, workflow
│   └── reviews/         Audit & referee reports (incl. the global referee review)
├── src/                 Core Python package (physics engine + analysis)
├── experiments/
│   ├── verification/    13-script independent verification suite (see index above)
│   ├── v17_gates/       Validation gates G0-G5 (current suite)
│   ├── npl_gates/       Gate PDE cross-check implementations
│   ├── figures/         Generators for every data-driven figure in the report
│   ├── bullet_cluster/  Real-survey data acquisition + figure (Gate 1 context)
│   └── layer0/          Layer-0 substrate verification (Genesis chapter)
├── validation/          Self-contained expert-validation package
├── neutrino/            Neutrino-sector computations
├── scripts/             Gate runner + frozen criteria (gates_criteria.json)
├── data/                Reference datasets (SPARC, Planck/PDG/CODATA tables)
├── results/             figures/ + logs/ — the committed evidence trail
└── paper/v7_release_v2/ The published manuscript (tex, figures, changelog)

Getting started

# Python 3.9+ (tested on 3.11/3.12)
pip install -r requirements.txt
# Run everything from the repository root (scripts use relative data/ paths)
python experiments/npl_gates/npl_sparc_pde_gate3.py      # example: Gate 3 (SPARC)

Large datasets (Planck spectra, Bullet Cluster FITS, CLASS) are not committed — see data/README.md for fetch instructions.

Research methodology

The project runs as a multi-agent research lab (see theory/protocols/). Every result flows through the pipeline in theory/protocols/RESEARCH_WORKFLOW.md:

derivation → mathematical audit → implementation → gate validation (G0–G5) → data confrontation → adversarial peer review → publication

Core laws: parameters must emerge from theory, never be tuned to data (Anti-Hardcode); a failed gate falsifies the action rather than triggering a patch (Anti-Frankenstein); every claim declares its observables and failure conditions; all validation runs against real data (SPARC, Planck 2018, PDG 2024, Bullet Cluster).

Citation

See CITATION.cff (GitHub renders a "Cite this repository" button) or the concept DOI 10.5281/zenodo.18195546.

License

See LICENSE. Research code open for scientific verification.

About

Induced Superfluid Cosmology (TRXT-Nullivance): emergent gravity, matter as topological solitons, dark energy as condensate relaxation. 191-page audited research report + full reproducibility suite (real-data gates: Planck CMB, SPARC, Cassini, BBN).

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