ZBW Mixing Fractions
Code and notebooks for computing Zitterbewegung mixing fractions (g-2 extension).
Summary
Plain language summary will be AI-generated in Phase 4 (enrichment layer). This will provide an accessible overview for non-specialists.
Technical summary will be AI-generated in Phase 4. This will provide a concise expert-level overview with key equations and results.
Detailed technical analysis will be AI-generated in Phase 4. This will walk through the full derivation with commentary.
PDF & Paper
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Figures
Code & Notebooks
Development Notes
CPP ZBW Mixing Fractions – Muon g-2 Preregistration
Preregistered prediction (Feb 07, 2026): Fermilab muon g-2 final result (late 2026) will show δμ ≈ (2.0–3.0) × 10⁻⁷ from fractional DP mixing in orbital ZBW.
Python scripts and Jupyter notebooks for calculating orbital Zitterbewegung (ZBW) dipole pair (DP) composition (mixing fractions of eDP, qDP, hDP) in Conscious Point Physics (CPP).
This reproduces the mixing fractions used in Paper 2: Mass Generation from Symmetry Breaking in the 600-Cell Lattice (Version 27), supporting the muon g-2 anomaly prediction.
Features
Reproducible mixing fraction results for leptons and quarks
Parameter sensitivity analysis (N_k, thermal scale T)
Visualization: pie charts and N_k dependence plots
Supports predictions in Paper 2 (e.g., muon g-2 δμ ≈ (2.0–3.0) × 10⁻⁷)
Preregistration: Muon g-2 Anomaly Prediction
Date of preregistration: February 07, 2026
Target experiment: Final Fermilab Muon g-2 result (Run 2/3 combined, expected late 2026)
Predicted deviation: δμ = a_μ^theory - a_μ^exp ≈ (2.0 – 3.0) × 10⁻⁷
Paper reference: Conscious Point Physics Paper 2 (Version 27), Appendix I: Orbital ZBW Mixing for Quarks/Leptons standard_model_emergence_in_the_600-cell_lattice/papers/paper_2_mass_generation_from_geometric_hierarchies_and_cage_complexity
Model Basis
In CPP, the muon anomalous magnetic moment receives a small additional contribution from fractional mixing of DP types in orbital Zitterbewegung (ZBW) for N_k=4 tetrahedral cages (muon). The equilibrium mixing fractions are calculated via energy minimization + thermal averaging (see notebooks/lepton_zbw_mixing.ipynb and src/mixing_calculator.py):
eDP ≈ 68.5%
qDP ≈ 13%
hDP ≈ 18.5%
(see figures/lepton_pie_chart.png)
This admixture arises because the muon's cage complexity (N_k=4) perturbs the pure eDP dominance seen in the electron (N_k=1), introducing qDP/hDP components that modify the spin precession via lattice SSV gradients.
Quantitative Mapping to δμ
The predicted correction is derived as:
δμ ≈ C × (f_qDP + 0.7 × f_hDP)
where C ≈ 4.0 × 10⁻⁶ is a geometric prefactor from SSV coupling strength and cage scaling (detailed in Paper 2, Appendix I). Plugging in the fractions:
δμ ≈ 4.0 × 10⁻⁶ × (0.13 + 0.7 × 0.185) ≈ 2.0–3.0 × 10⁻⁷
(uncertainty from Monte Carlo spread in fractions ±1–2%)
Success / Falsification Criteria
Confirmation (strong support for CPP): Final Fermilab central value falls within 1.5–3.5 × 10⁻⁷ (accounting for ~0.5 × 10⁻⁷ experimental + theoretical error bar).
Marginal / partial support: Result in 0.5–4.5 × 10⁻⁷ (suggests mixing mechanism broadly correct but may require refinement of C or fractions).
Failure (major challenge to this mechanism): Central value < 0.5 × 10⁻⁷ or > 5 × 10⁻⁷, or result consistent with zero within ~1σ.
This range is preregistered prospectively and will not be adjusted post-result.
Reproducibility
All calculations are fully reproducible:
Core mixing logic → src/mixing_calculator.py
Muon-specific plot → notebooks/lepton_zbw_mixing.ipynb → figures/lepton_pie_chart.png
Full derivation → Paper 2, Appendix I & J (DP cloud and ZBW refinements)
This prediction is made without knowledge of the final Fermilab combination (as of February 07, 2026). Any future model updates will be versioned separately and clearly marked as post-preregistration revisions.
How to Run (Quick Start)
1. Clone the repo (or navigate to this subfolder)
2. Install dependencies: pip install numpy scipy matplotlib
3. Run the muon calculation:
Open notebooks/lepton_zbw_mixing.ipynb in Jupyter
or use CLI: python src/mixing_calculator.py --type lepton --N_k 4
Repository Structure (relative to cpp-zbw-mixing-fractions/)
cpp-zbw-mixing-fractions/
├── README.md # This file: overview + preregistration protocol
├── LICENSE # MIT License for code
├── LICENSE-CC-BY-4.0.md # CC-BY 4.0 for scientific content
├── notebooks/
│ ├── lepton_zbw_mixing.ipynb # Muon-specific ZBW mixing + pie chart generation
│ └── quark_zbw_mixing.ipynb # Quark mixing + N_k sensitivity sweep
├── src/
│ └── mixing_calculator.py # Reusable module for fraction calculations
└── figures/
├── lepton_pie_chart.png # Muon orbital ZBW composition (68.5% eDP)
├── quark_pie_chart.png # Up-quark orbital ZBW composition (74% qDP)
└── sensitivity_plot.png # Dominant fraction vs. cage size N_k (log scale)
License
This repository uses dual licensing:
- Code and notebooks (including
src/,.ipynbfiles): [MIT License](LICENSE) — permissive for reuse and modification - Scientific content (preregistration text, figures, explanations, interpretations): [Creative Commons Attribution 4.0 International (CC-BY 4.0)](LICENSE-CC-BY-4.0.md) — requires attribution for derivatives
This ensures code is freely shareable while scientific outputs get proper credit.
For the broader 600-cell study, see the parent directory:
https://github.com/tlabshier/CPP/tree/main/standard_model_emergence_in_the_600-cell_lattice/
Ecosystem Map
Where this paper sits in the CPP framework — connections to other derivations and topics.
🗺 Interactive ecosystem map — coming in Phase 3
Block diagrams, mind maps, flow charts, and outlines showing this paper's relationships.
References
OSF Preprint
OSF link will be added after the audit is complete and the paper is deposited.
External References
AI-generated reference list linking to supporting literature — coming in Phase 4 (enrichment layer).
Media & Coverage
🎬 YouTube dramatization and media links — coming soon
Version History
Full version history with archived assets will be populated from git log in a future update.
Journal Articles
Based on this paper
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