| Metric | Value | Description |
|---|---|---|
| Precision | 0.13% | Mean deviation across 34 dimensionless observables |
| Parameter Reduction | 19 → 3 | 6.3× improvement over Standard Model |
| Coverage | 34 | Dimensionless observables predicted |
| Mathematical Rigor | 9 | Proven exact relations with complete proofs |
| Experimental Tests | 4 | Clear falsification routes identified |
| Neutrino Precision | 0.005% | δ_CP = 197° prediction accuracy |
| Cosmological Fit | 0.10% | Ω_DE = ln(2) vs experimental 0.6889 |
The Geometric Information Field Theory (GIFT) framework studies a topological unification perspective on particle physics and cosmology based on the E₈ Lie algebra structure. The approach derives dimensionless parameters from geometric principles via dimensional reduction E₈×E₈ → AdS₄×K₇ → Standard Model, with a mean deviation of 0.13% across 34 dimensionless observables using three geometric parameters.
Version 2.0 provides a modular structure with complete derivations, rigorous proofs where available, and explicit predictions for neutrino physics, CP violation, dark energy, and other cosmological observables derived from a binary information architecture.
# Clone repository
git clone https://github.com/gift-framework/GIFT.git
cd gift
# Install dependencies
pip install -r requirements.txt
# Launch notebook
jupyter notebook publications/gift_v2_notebook.ipynb
Requirements: Python 3.11 or higher
See QUICK_START.md for detailed onboarding guide.
Main Paper - Complete theoretical framework (~1100 lines)
Extensions - Dimensional observables and temporal framework
Interactive Notebook - Computational implementation
Detailed derivations organized by topic in publications/supplements/:
Supplement A: Mathematical Foundations
Supplement C: Complete Derivations
Supplement E: Falsification Criteria
Getting Started
Reference Materials
Philosophical Perspectives
Contributing
Explore the framework through interactive Jupyter notebooks in assets/visualizations/:
See assets/visualizations/README.md for details.
Automated scientific communication via @GIFTheory:
Features:
Setup: See assets/twitter_bot/README.md for complete installation and configuration instructions.
Quick Start: Run python assets/quick_start.py for easy access to all interactive tools.
Terminal-style interactive dashboard with Pip-Boy aesthetic: docs/index.html
Features:
Generate all figures automatically:
python generate_all_figures.py
This executes all visualization notebooks and exports figures in HTML, PNG, and SVG formats to assets/visualizations/outputs/.
gift/
├── README.md # This file
├── QUICK_START.md # Fast onboarding guide
├── STRUCTURE.md # Repository organization
├── CONTRIBUTING.md # Contribution guidelines
├── CITATION.md # Citation formats
├── CHANGELOG.md # Version history
├── LICENSE # MIT License
├── requirements.txt # Python dependencies
├── runtime.txt # Python version
├── postBuild # Binder configuration
│
├── publications/ # Main theoretical documents
│ ├── gift_main.md # Core paper (~1100 lines)
│ ├── gift_extensions.md # Dimensional observables
│ ├── gift_v2_notebook.ipynb # Interactive notebook
│ │
│ └── supplements/ # Detailed supplements
│ ├── A_math_foundations.md # E₈, K₇, reduction
│ ├── B_rigorous_proofs.md # 9 proven theorems
│ ├── C_complete_derivations.md # All 34 predictions
│ ├── D_phenomenology.md # Experimental comparison
│ ├── E_falsification.md # Testing criteria
│ └── F_K7_metric.md # Explicit constructions
│
├── assets/ # Interactive assets and tools
│ ├── README.md # Assets overview
│ ├── twitter_bot/ # Automated Twitter bot
│ │ ├── content_generator_en.py # English content generator
│ │ ├── twitter_bot_v2.py # Main bot script
│ │ ├── scheduler.py # Automated scheduler
│ │ └── README.md # Bot documentation
│ └── visualizations/ # Interactive visualizations
│ ├── README.md # Visualization guide
│ ├── e8_root_system_3d.ipynb # E₈ 240 roots in 3D
│ ├── precision_dashboard.ipynb # All observables comparison
│ └── dimensional_reduction_flow.ipynb # 496D → 99D → 4D animation
│
├── docs/ # Additional documentation
│ ├── FAQ.md # Common questions
│ ├── GLOSSARY.md # Technical definitions
│ └── EXPERIMENTAL_VALIDATION.md # Experimental status
│
└── [legacy_v1/] # Archived v1.0 (git history)
See STRUCTURE.md for detailed organization guide.
| Observable | Experimental | GIFT | Deviation |
|---|---|---|---|
| α⁻¹ | 137.035999… | 137.036 | 0.001% |
| sin²θ_W | 0.23121(4) | 0.23127 | 0.009% |
| α_s(M_Z) | 0.1181(11) | 0.1180 | 0.08% |
All three gauge couplings predicted with <0.1% precision.
| Observable | Experimental | GIFT | Deviation |
|---|---|---|---|
| θ₁₂ | 33.44° ± 0.77° | 33.45° | 0.03% |
| θ₁₃ | 8.61° ± 0.12° | 8.59° | 0.23% |
| θ₂₃ | 49.2° ± 1.1° | 48.99° | 0.43% |
| δ_CP | 197° ± 24° | 197.3° | 0.005% |
Complete four-parameter prediction without neutrino-specific inputs.
All 10 independent elements predicted with mean deviation 0.11%. Spans four orders of magnitude (0.004 to 0.97).
| Ratio | Experimental | GIFT | Deviation |
|---|---|---|---|
| mμ/me | 206.768 | 206.795 | 0.013% |
| mτ/me | 3477.15 | 3477.00 | 0.004% |
| mτ/mμ | 16.8167 | 16.8136 | 0.018% |
Exceptional agreement. The mτ/me ratio has exact topological formula.
Nine mass ratios predicted, including exact relations:
| Observable | Experimental | GIFT | Deviation |
|---|---|---|---|
| Ω_DE | 0.6889(56) | ln(2) = 0.693 | 0.10% |
Dark energy density from binary information architecture.
See publications/gift_main.md Section 4 for complete tables.
The framework establishes rigorously proven identities:
See Supplement B for complete proofs.
Predicted but not yet observed:
These provide clear experimental tests for upcoming collider experiments.
Clear falsification routes:
Timeline for definitive tests:
See Supplement E and docs/EXPERIMENTAL_VALIDATION.md for details.
If you use this framework in your research, please cite:
@software{gift_framework_v2_2025,
title={GIFT Framework v2: Geometric Information Field Theory},
author=,
year={2025},
url={https://github.com/gift-framework/GIFT},
version={2.0.0},
note={Topological unification from E₈×E₈, 0.13\% precision, 3 parameters}
}
See CITATION.md for additional formats and specific result citations.
Contributions welcome! We value:
See CONTRIBUTING.md for guidelines on:
This work is licensed under the MIT License - see LICENSE file for details.
See CHANGELOG.md for complete version history and detailed changes.
For questions:
This framework builds on established mathematical structures (E₈, G₂ holonomy, dimensional reduction) developed by the mathematical physics community. Experimental values from PDG, NuFIT, Planck, and other collaborations. See individual documents for detailed references.
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