Quantum Field Dynamics: A Parameter-Free Framework for Fundamental Physics
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A verifiable framework where one measured input (α ≈ 1/137) derives the rest.
Before diving in, a note on methodology: This repository treats physical laws as executable software. It contains 1,100+ formally verified Lean 4 theorems and zero-dependency Python validations. Every result can be traced from the geometric axiom to the numerical output step-by-step.
We understand this framework makes extraordinary claims. We ask only that you engage with the derivations rather than pattern-matching to familiar failure modes. Specifically:
Structure, not Numerology: Each value emerges from a named mechanical relationship (e.g., the "Golden Loop" links vacuum stiffness β to the electromagnetic input α). These are algebraic necessities of the geometry, not coincidental digit-matching.
The Zero-Tuning Policy: We do not add free parameters to force fits.
- Example: We predict the Electron g−2 to within 0.001%.
- Example: We derive the Proton Mass from vacuum geometry to within 0.4% (interpreted as the soliton binding energy).
We display these deviations transparently. Unlike standard models that add variables to "fix" the result, we allow the geometric prediction to stand on its own merits.
Your skepticism is healthy, but your tools should be rigorous.
If your instinct is to dismiss this as "impossible"—we understand. But the Lean proofs compile, the Python runs without dependencies, and the numbers match reality to high precision.
Start with make validate-quick and audit the logic yourself.
Trust your calculation, not your priors.
Physics has become a collection of black boxes. Quantum mechanics says "shut up and calculate." General relativity breaks down at singularities. The Standard Model has 26 free parameters nobody can explain. These theories work in their domains but contradict each other at the boundaries.
QFD is a Glass Box. One theory. One algebra. One chain of derivations from a single measured constant (α ≈ 1/137) to everything else. Every step is visible, verifiable, and falsifiable. At every opportunity, we validate predictions against experimental data.
| Black Box Physics | Glass Box (QFD) |
|---|---|
| 26+ free parameters | 1 input (α only) |
| Complex numbers required | Real geometry only |
| Separate theories per scale | Same algebra everywhere |
| Singularities, infinities | None allowed |
| "Shut up and calculate" | See every derivation |
The Glass Box is deliberately fragile. Breaking any wall breaks the entire model. If one prediction fails by more than measurement error, the whole framework is wrong—not just a parameter to tweak.
This is a feature, not a bug. It means QFD is genuinely falsifiable.
We test everything. Every derived quantity is compared against experiment:
- Derive β from α → validate against nuclear data (c₁, c₂)
- Derive g-2 from geometry → validate against Harvard/Fermilab measurements
- Derive proton mass from m_e → validate against PDG value (0.49% error)
- Derive CMB temperature → validate against Planck satellite (0.03% error)
If QFD derived a quantity but refused to compare it to measurement, that would be a red flag. Instead, this repository contains 17 independent validation scripts that compare QFD predictions to experimental data. Run them yourself: python analysis/scripts/run_all_validations.py
- ✗ Imaginary numbers (complex i is replaced by geometric bivectors)
- ✗ Extra dimensions beyond 6 (Cl(3,3) is complete)
- ✗ Dark matter/energy as separate substances
- ✗ Singularities or infinities anywhere
- ✗ Free parameters to tune after the fact
QFD aims to derive ALL fundamental constants from geometry. Here are the testable claims:
| Goal | Testable Prediction | Current Status |
|---|---|---|
| Derive vacuum stiffness | β = 3.043233 from α via Golden Loop | ✅ Proven (0% error) |
| Predict nuclear coefficients | c₁ = 0.496, c₂ = 0.328 from α alone | ✅ Verified (0.01%, 0.48%) |
| Predict electron g-2 | 0.00115963678 with zero free params | ✅ Verified (0.0013% error) |
| Predict muon g-2 | 0.00116595205 with zero free params | ✅ Verified (0.0027% error) |
| Predict CMB temperature | 2.7248 K from recombination physics | ✅ Verified (0.03% error) |
| Nuclear conservation law | 210/210 decay modes explained | ✅ Verified (100%) |
| Lepton mass ratios | m_μ/m_e ≈ 207 from topology | |
| Proton mass | m_p = (4π²/9) × β × (m_e/α) ≈ 935 MeV | ✅ Verified (0.37% error) |
What would falsify QFD: Any prediction off by more than ~1% with no geometric explanation.
Clarification: "Zero free parameters" means no continuously tuned fit parameters. QFD has discrete structural axioms (physical postulates) and one measured input (α).
| Axiom | Statement | Physical Motivation |
|---|---|---|
| A1. Cl(3,3) arena | Physics occurs in the Clifford algebra Cl(3,3) | Minimal algebra with both spatial and temporal signature |
| A2. Golden Loop form | 1/α = 2π² × (e^β/β) + 1 | Topological constraint from soliton quantization |
| A3. Electron scale factor | S_e = -1/ξ where ξ = φ² | Golden ratio emerges from recursive self-similarity |
| A4. Hard-wall boundary | Solitons have finite support | Prevents infinite self-energy |
| Input | Value | Source | Used For |
|---|---|---|---|
| α (fine structure) | 1/137.035999206 | CODATA 2018 | Core derivation (β, c₁, c₂, g-2) |
| m_e (electron mass) | 0.511 MeV | PDG 2024 | Mass scale unit |
| m_μ/m_e (mass ratio) | 206.768... | PDG 2024 | Particle identification in g-2 |
Why m_e? Electron mass sets the fundamental mass scale (like choosing meters for length). All other masses are derived relative to it:
- Proton mass: m_p = (4π²/9) × β × (m_e/α) ≈ 935 MeV (0.37% error) — see
ProtonBridge_Geometry.lean- k_geom = (4/3)π × (π/3) = 4π²/9 ≈ 4.387 (pure geometric, no fitted parameters)
- Lepton ratios: m_μ/m_e ≈ 207 from topology (0.93% error, improving)
Why mass ratios for g-2? For g-2 predictions, we need to know which particle. The scale factor R_μ = m_e/m_μ identifies the muon's position in the vacuum geometry. We separately claim to derive this ratio from topology, but validation scripts currently use measured values.
Circularity note for α: CODATA α is determined primarily from (a) electron anomaly measurements or (b) atom-recoil experiments. To ensure non-circular validation:
- Electron g-2 test: Should use atom-recoil α (α⁻¹ = 137.035999046) for independence
- Muon g-2 test: Independent regardless of α source (muon data not used in CODATA α)
| Parameter | Formula | Value | Derived From |
|---|---|---|---|
| β | Solve Golden Loop | 3.043233053 | α + Axiom A2 |
| c₁ | ½(1 - α) | 0.496351 | α |
| c₂ | 1/β | 0.328598 | β |
| R_vac | (ξ-1)/(ξ+1) = 1/√5 | 0.4472 | Axiom A3 |
| V₄ (electron) | -1/β | -0.328598 | β + R_vac |
| Prediction | QFD Value | Measured | Error | Independent of α source? |
|---|---|---|---|---|
| Electron g-2 | 0.00115963678 | 0.00115965218 | 0.0013% | |
| Muon g-2 | 0.00116595205 | 0.00116592071 | 0.0027% | ✅ Yes |
| Nuclear c₁ | 0.496351 | 0.496297 | 0.01% | ✅ Yes |
| Nuclear c₂ | 0.328598 | 0.327040 | 0.48% | ✅ Yes |
| CMB T | 2.7248 K | 2.7255 K | 0.03% | ✅ Yes |
If any of these are measured, QFD is wrong:
- β ≠ 3.043: If improved α measurement yields β outside [3.04, 3.05] via Golden Loop, framework fails
- Electron g-2 off by >0.01%: Using atom-recoil α, if predicted g-2 deviates by more than 10× current error
- Muon g-2 sign flip: If muon correction is negative (currently predicted positive), geometric mechanism fails
- Nuclear c₂ wrong sign: If volume coefficient is positive (not negative), soliton model breaks
- New stable isotope violates Z(A): Any stable nuclide with Z far from c₁A^(2/3) + c₂A contradicts valley formula
- CMB temperature >1% off: If T_CMB ≠ 2.72±0.03 K from QFD's recombination calculation
These are not "parameters to adjust" - they are hard predictions. Failure of any one breaks the entire chain.
α (measured) → Golden Loop → β (derived) → All other constants
↓ ↓
1/137.036 e^β/β = (α⁻¹-1)/2π² c₁, c₂, V₄, R_vac, ξ...
- Input: Fine structure constant α = 1/137.035999206 (CODATA)
- Golden Loop: Solve the transcendental equation
1/α = 2π²(e^β/β) + 1 - Result: β = 3.043233053 (vacuum stiffness)
- Derive everything else:
- Nuclear surface: c₁ = ½(1 - α)
- Nuclear volume: c₂ = 1/β
- g-2 coefficient: V₄ = -1/β
- Vacuum scale: R_vac = 1/√5 (from golden ratio)
The Clifford algebra Cl(3,3) with signature (+,+,+,−,−,−) is the "natural coordinate space" because:
- Closure: All physics operations stay within one algebra
- Centralizer = Physics: Symmetries emerge from commutation structure
- No complex numbers: The "imaginary" i is replaced by geometric bivectors
- 6D is complete: Three space + three internal (not "extra dimensions")
See CL33_METHODOLOGY.md for the complete 18-section explanation.
The one-paragraph summary: QFD claims that the "magic numbers" of physics (like 137, the fine structure constant) aren't arbitrary—they're geometric necessities, like how π must appear in any circle. Starting from just one measured number, QFD derives dozens of others that physicists normally have to measure separately. If this works, it means the universe is simpler than we thought.
Start here: Run python qfd_proof.py and watch it derive nuclear physics coefficients from electromagnetism in 20 lines of code.
Key question: Can a single transcendental equation (Golden Loop) really connect α to nuclear binding?
Verify it yourself:
python analysis/scripts/run_all_validations.py # 17/17 in 15 seconds
python qfd_proof.py # Zero-dependency proofTechnical deep dive: THEORY.md + CL33_METHODOLOGY.md
Lean proofs: formalization/QFD/GoldenLoop.lean, Lepton/GeometricG2.lean
Key claims: CMB temperature derived (2.7248 K, 0.03% error), no dark energy needed (vacuum structure explains acceleration).
Verify: python analysis/scripts/derive_cmb_temperature.py
Proofs: formalization/QFD/Cosmology/
See LLM_CONTEXT.md for full instructions. Quick access:
- llms.txt - File index
- files.json - Machine-readable JSON
QFD derives fundamental constants from geometry rather than fitting them to data. Starting from a single measured value (the fine structure constant α), all nuclear, electromagnetic, and lepton coefficients emerge through the Golden Loop transcendental equation.
Methodology: See CL33_METHODOLOGY.md for the complete explanation of why Cl(3,3) is the natural coordinate space and how each constant (α, β, c, ℏ, G, k_B, e) emerges geometrically.
1/α = 2π² × (e^β / β) + 1
Why this form? This isn't a fit Ansatz—it's a selection principle from Cl(3,3) geometry:
- The 2π² comes from integrating over the soliton's angular structure
- The e^β/β is the unique solution to the Beltrami eigenvalue problem with hard-wall boundary
- The +1 is the vacuum offset (α → 0 gives β → ∞, not β → 0)
See CL33_METHODOLOGY.md Section 2 for the complete derivation from Clifford algebra constraints.
Solving for β with α = 1/137.035999206:
β = 3.043233053 (vacuum stiffness - DERIVED, not fitted)
| Coefficient | Formula | Derived Value | Empirical | Error |
|---|---|---|---|---|
| β | Golden Loop | 3.043233 | — | 0% (exact) |
| c₁ | ½(1 - α) | 0.496351 | 0.496297 | 0.01% |
| c₂ | 1/β | 0.328598 | 0.327040 | 0.48% |
| V₄ | -1/β | -0.328598 | -0.328479 | 0.04% |
python analysis/scripts/run_all_validations.py
# Runtime: ~15 seconds
# Result: 17/17 PASSED| Prediction | QFD Value | Measured | Error | Free Params |
|---|---|---|---|---|
| Electron g-2 | 0.00115963678 | 0.00115965218 (Harvard 2008) | 0.0013% | 0 |
| Muon g-2 | 0.00116595205 | 0.00116592071 (Fermilab 2025) | 0.0027% | 0 |
| CMB Temperature | 2.7248 K | 2.7255 K | 0.03% | 0 |
| Muon/Electron Mass | 205.9 | 206.8 | 0.93% | 0 |
Note: analysis/scripts/validate_g2_corrected.py currently uses the experimentally measured muon/electron mass ratio to demonstrate the geometric g-2 formula; the internal topology-derived ratio (0.93% high) is under active refinement.
| Nuclear c₁ | 0.496351 | 0.496297 | 0.01% | 0 | | Conservation Law | 210/210 | — | 100% | 0 |
| Category | Script | Status | Key Result |
|---|---|---|---|
| Golden Spike | qfd_proof.py |
✅ PASS | Complete α→β→c₁,c₂,V₄ chain |
run_all_validations.py |
✅ PASS | 17/17 tests in 15 seconds | |
validate_g2_corrected.py |
✅ PASS | g-2: 0.0013%, 0.0027% error | |
lepton_stability.py |
✅ PASS | Mass ratio 0.93% (N=19 topology) | |
derive_cmb_temperature.py |
✅ PASS | T_CMB = 2.7248 K | |
| Foundation | verify_golden_loop.py |
✅ PASS | β = 3.043233, 0% closure error |
derive_beta_from_alpha.py |
✅ PASS | Golden Loop verified | |
QFD_ALPHA_DERIVED_CONSTANTS.py |
✅ PASS | All 17 coefficients from α | |
derive_hbar_from_topology.py |
✅ PASS | ℏ_eff CV < 2% | |
| Nuclear | validate_conservation_law.py |
✅ PASS | 210/210 perfect (p < 10⁻⁴²⁰) |
analyze_all_decay_transitions.py |
✅ PASS | β⁻ decay: 99.7% match | |
validate_fission_pythagorean.py |
✅ PASS | Tacoma Narrows: 6/6 | |
validate_proton_engine.py |
✅ PASS | Drip line asymmetry confirmed | |
| Photon | verify_photon_soliton.py |
✅ PASS | Soliton: energy, shape, propagation |
verify_lepton_g2.py |
✅ PASS | Parameter-free g-2 derivation |
Fresh machine recipe - copy-paste ready:
git clone https://github.com/tracyphasespace/QFD-Universe.git
cd QFD-Universe
# Create Python environment
python3 -m venv venv
source venv/bin/activate # Linux/Mac
# or: venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt# Master validation (17/17 tests, ~15 seconds)
python analysis/scripts/run_all_validations.py
# Zero-dependency proof (no external packages needed)
python qfd_proof.pyExpected output:
=== QFD Master Validation Suite ===
...
OVERALL RESULT: 17/17 tests passed
cd formalization
lake build QFD # First build: 10-30 min (fetches Mathlib)
# Subsequent: seconds
# Count sorries (incomplete proofs) - should be 0
grep -r "sorry" QFD/ --include="*.lean" | wc -l# Golden Loop (β derivation)
python simulation/scripts/verify_golden_loop.py
# g-2 predictions
python analysis/scripts/validate_g2_corrected.py
# Nuclear conservation law
python analysis/scripts/validate_conservation_law.py
# CMB temperature
python analysis/scripts/derive_cmb_temperature.pyQFD predicts lepton anomalous magnetic moments with zero free parameters:
V₄(R) = [(R_vac - R) / (R_vac + R)] × (ξ/β)
Where ALL parameters are derived:
- β = 3.043233 from Golden Loop: e^β/β = (α⁻¹ - 1)/(2π²)
- ξ = φ² = 2.618 from golden ratio (φ = 1.618...)
- R_vac = 1/√5 derived from golden ratio (see below)
- R = ℏc/m from lepton mass (Compton wavelength)
R_vac = 1/√5 is derived, not fitted. The derivation:
- Postulate: The electron scale factor S_e = -1/ξ (where ξ = φ²)
- Möbius transform: S_e = (R_vac - 1)/(R_vac + 1) = -1/ξ
- Solve: R_vac = (ξ - 1)/(ξ + 1) = φ/(φ + 2) = 1/√5
Physical meaning: When S_e = -1/ξ, the electron V₄ simplifies to:
V₄(electron) = S_e × (ξ/β) = (-1/ξ) × (ξ/β) = -1/β
| Domain | Coefficient | Value | Meaning |
|---|---|---|---|
| Nuclear binding | c₂ = +1/β | +0.3286 | Matter pushes against vacuum |
| Electron g-2 | V₄ = -1/β | -0.3286 | Vacuum polarization pulls in |
The electron g-2 correction equals the nuclear volume coefficient with opposite sign!
This is formally proven in Lean4: QFD/Lepton/RVacDerivation.lean
| Lepton | R/R_e | Scale Factor S | V₄ | Sign |
|---|---|---|---|---|
| Electron | 1.000 | -0.382 | -0.329 | Negative |
| Muon | 0.00484 | +0.979 | +0.842 | Positive |
The electron (R > R_vac) gets a negative correction.
The muon (R < R_vac) gets a positive correction.
This is proven in Lean4: QFD/Lepton/GeometricG2.lean
When in doubt, express the problem in Cl(3,3) and see which symmetry surfaces.
This approach—converting equations to Clifford algebra Cl(3,3) and looking for geometric structure—is how QFD cracked problems that seemed unrelated:
| Problem | What Cl(3,3) Revealed |
|---|---|
| Spacetime emergence | 4D Minkowski = centralizer of internal bivector |
| ℏ derivation | Planck constant from topological winding |
| Photon solitons | Stability from helicity-locked coherence |
| Lepton masses | Harmonic modes in twist energy functional |
| g-2 sign flip | Möbius transform geometry |
Why it works: Cl(3,3) has signature (+,+,+,−,−,−). The "hidden" dimensions e₄, e₅ encode internal degrees of freedom. Physics emerges from what commutes with internal rotation—the centralizer structure.
Recipe for new problems: Express in Cl(3,3) → Find the bivector subspace → Look for centralizer → The surviving symmetry IS the physics.
See THEORY.md Section 6 for the complete methodology and proof index.
QFD-Universe/
├── README.md # This file
├── LLM_CONTEXT.md # AI assistant guide
├── THEORY.md # Full theory documentation
├── qfd_proof.py # Zero-dependency standalone proof
│
├── formalization/ # Lean4 proofs (886 theorems, 0 sorries)
│ └── QFD/
│ ├── GA/ # Geometric Algebra Cl(3,3)
│ ├── Lepton/ # GeometricG2.lean (g-2 proof)
│ ├── Nuclear/ # CoreCompressionLaw.lean
│ └── Cosmology/ # CMB axis alignment proofs
│
├── simulation/ # Python solvers
│ ├── src/
│ │ └── shared_constants.py # Single source of truth
│ └── scripts/
│ ├── verify_golden_loop.py
│ ├── verify_lepton_g2.py # Parameter-free g-2
│ ├── verify_photon_soliton.py # Soliton stability
│ ├── derive_hbar_from_topology.py # CPU single-threaded
│ ├── derive_hbar_from_topology_parallel.py # CPU multi-core
│ ├── derive_hbar_from_topology_gpu.py # CUDA GPU (fastest)
│ └── derive_*.py
│
├── analysis/ # Data verification
│ ├── scripts/
│ │ ├── run_all_validations.py # Master test suite
│ │ ├── validate_g2_corrected.py
│ │ └── validate_*.py
│ └── nuclear/
│ └── scripts/ # Nuclear decay analysis
│
└── visualizations/ # Interactive demos
└── PhotonSolitonCanon.html
git clone https://github.com/tracyphasespace/QFD-Universe.git
cd QFD-Universe
pip install numpy scipy pandas matplotlib pyarrowpython3 qfd_proof.pyThis proves core claims using only Python's math module - no external dependencies.
python analysis/scripts/run_all_validations.pyExpected: 17/17 tests passed (~15 seconds)
# Parameter-free g-2 (our best result)
python simulation/scripts/verify_lepton_g2.py
# Golden Loop derivation
python simulation/scripts/verify_golden_loop.py
# Photon soliton stability
python simulation/scripts/verify_photon_soliton.py
# Conservation law (210/210 perfect)
python analysis/scripts/validate_conservation_law.pycd formalization
lake build QFDThe Fundamental Soliton Equation:
Z_stable(A) = c₁ × A^(2/3) + c₂ × A
Where c₁ = ½(1-α) and c₂ = 1/β are derived from α alone.
- Conservation law: 210/210 perfect matches (p < 10⁻⁴²⁰)
- β⁻ decay selection: 99.7% compliance
- Fission prediction: 6/6 Tacoma Narrows validated
V₄(R) = [(R_vac - R)/(R_vac + R)] × (ξ/β)
| Lepton | Predicted | Measured | Error |
|---|---|---|---|
| Electron | 0.00115963678 | 0.00115965218 | 0.0013% |
| Muon | 0.00116595205 | 0.00116592059 | 0.0027% |
The sign flip between electron and muon is a geometric necessity.
m_μ/m_e = 206.768 (observed)
QFD prediction: 204.8 (N=19 topological twist)
Error: 0.93%
T_CMB = T_recomb / (1 + z_recomb)
= 3000 K / 1101
= 2.7248 K
Observed: 2.7255 K
Error: 0.03%
QFD proves that electric charge e is a topological invariant independent of c:
Physical formula: e = √(4π ε₀ ℏ c α) ← appears to depend on c
Geometric formula: e = √(4π ℏ α / Z₀) ← manifestly c-independent
These are IDENTICAL because ε₀ = 1/(Z₀ c), so c cancels completely.
The charge depends only on α (twist), ℏ (action quantum), and Z₀ (impedance from α).
Formally proven in Lean4: QFD/Charge/GeometricCharge.lean
QFD derives ℏ from the energy-frequency relationship of soliton solutions:
ℏ_eff = E / ω
Where the soliton is relaxed toward a Beltrami eigenfield (curl B = λB).
Three computation options available:
| Script | Method | CV(ℏ) | Time (64³) | Requirements |
|---|---|---|---|---|
derive_hbar_from_topology.py |
CPU single | ~2% | ~60s | NumPy only |
derive_hbar_from_topology_parallel.py |
CPU multi | 0.87% | ~12s | NumPy + multiprocessing |
derive_hbar_from_topology_gpu.py |
CUDA GPU | 1.12% | ~4s | PyTorch + CUDA |
# CPU parallel (recommended for most users)
python simulation/scripts/derive_hbar_from_topology_parallel.py --relax
# GPU accelerated (fastest, requires NVIDIA GPU)
python simulation/scripts/derive_hbar_from_topology_gpu.py --N 128| Claim | Evidence | Status |
|---|---|---|
| β derived from α | Golden Loop closure = 0% | ✅ Proven |
| c₁ = ½(1-α) | Nuclear data match 0.01% | ✅ Verified |
| c₂ = 1/β | Nuclear data match 0.48% | ✅ Verified |
| R_vac = 1/√5 | Derived from φ/(φ+2) | ✅ Proven (Lean4) |
| V₄(e) = -1/β | Nuclear-lepton duality | ✅ Proven (Lean4) |
| e independent of c | Charge is topological | ✅ Proven (Lean4) |
| g-2 from geometry | 0.0013%, 0.0027% error | ✅ Verified |
| Conservation law | 210/210 = 100% | ✅ Verified |
| Decay selection | 99.7% β⁻ compliance | ✅ Verified |
| CMB temperature | 0.03% error | ✅ Verified |
- ✗ Complete replacement of QCD/QED
- ✗ Full shell effect predictions
- ✗ All nuclear states from first principles
Every result can be reproduced with:
python analysis/scripts/run_all_validations.pyAll 17 tests pass. Runtime: ~15 seconds.
Ten focused questions keyed to concrete artifacts to decide whether QFD merits deeper study:
| # | Question | Where to Look |
|---|---|---|
| 1 | Single Input Claim – Do all downstream theorems genuinely depend only on α via the Golden Loop axiom, or do hidden parameters creep in? | formalization/QFD/Physics/Postulates.lean |
| 2 | Lean Coverage – Are any major claims still axiomatically stated rather than proved? (1,100+ theorems/lemmas proven, 0 sorries) | Browse formalization/QFD/ |
| 3 | Golden Loop Proof – Does the Lean proof rigorously derive β, c₁, c₂, and V₄ from α? Does Python reproduce the same numbers? | formalization/QFD/GoldenLoop.lean + simulation/scripts/derive_beta_from_alpha.py |
| 4 | Nuclear Validation – Do the nuclear modules really hit 210/210 matches without tuning any coefficients? | analysis/scripts/validate_conservation_law.py, run_all_validations.py |
| 5 | Lepton g-2 – Does the Lean derivation of V₄ align with Python outputs? Is R_vac = 1/√5 derived or fitted? | formalization/QFD/Lepton/GeometricG2.lean, Lepton/RVacDerivation.lean, simulation/scripts/verify_lepton_g2.py |
| 6 | Photon/Soliton Sector – Do the soliton proofs demonstrate photon stability without adjustable parameters? | formalization/QFD/Soliton/MassEnergyDensity.lean, Photon/PhotonSolitonStable.lean, simulation/scripts/verify_photon_soliton.py |
| 7 | Cosmology Claims – How do the cosmology axioms translate into the 2.7248 K CMB prediction? What would falsify them? | Physics/Postulates.lean:774-1030, simulation/scripts/derive_cmb_temperature.py |
| 8 | Runtime & Reproducibility – Can you re-run all 17 validations in under 20s, confirming no external data or GPU tricks? | python analysis/scripts/run_all_validations.py |
| 9 | Axiom Transparency – Are all explicit axiom declarations confined to one file? Do modules indicate where axioms are invoked? | formalization/QFD/Physics/Postulates.lean |
| 10 | Empirical Breadth – Which major datasets (neutrino oscillations, structure formation, gravitational lensing) are outside the validation suite? | Current: nuclear, lepton g-2, CMB. Future: see Contributing |
Quick verification path:
git clone https://github.com/tracyphasespace/QFD-Universe.git
cd QFD-Universe
pip install numpy scipy pandas matplotlib pyarrow
python analysis/scripts/run_all_validations.py # 17/17 in ~15s
python qfd_proof.py # Zero-dependency proofView QFD photon soliton dynamics in your browser:
- Photon Soliton Canon - 3D WebGL visualization
See LLM_CONTEXT.md for:
- Repository architecture guide
- Variable definitions (β, α, c₁, c₂, ξ, φ)
- Dependency flow from Lean proofs to Python solvers
- Key theorems to reference
We welcome:
- Independent replication attempts
- Bug reports and corrections
- Extensions to new observables
Please open an issue or pull request.
@software{qfd_universe,
author = {McSheery, Tracy},
title = {QFD-Universe: Parameter-Free Quantum Field Dynamics},
year = {2026},
url = {https://github.com/tracyphasespace/QFD-Universe},
note = {17/17 validation tests passed, g-2 error 0.0013\%/0.0027\%}
}MIT License - See LICENSE for details.
Last updated: 2026-01-11 | All validation tests passing