Get up and running with the GIFT framework in minutes.
The Geometric Information Field Theory (GIFT) derives fundamental physics parameters from pure mathematics. Starting with E₈×E₈ exceptional Lie algebras and G₂ holonomy manifolds, the framework predicts 34 dimensionless observables with 0.13% mean precision using only 3 geometric parameters.
Key achievement: Reduces Standard Model’s 19 free parameters to 3 derived geometric quantities.
No installation needed. Click either link:
Google Colab (requires Google account):
# Clone repository
git clone https://github.com/gift-framework/GIFT.git
cd gift
# Create virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Launch Jupyter
jupyter notebook publications/gift_v2_notebook.ipynb
Requirements: Python 3.11 or higher
The framework makes exact predictions for several quantities:
Exact Relations (0% deviation by construction)
High-Precision Predictions (<0.01% deviation)
Complete Neutrino Sector (all <0.5%)
The dimensional reduction proceeds:
E₈×E₈ (496-dimensional)
↓ compactification
AdS₄ × K₇
↓ G₂ holonomy breaking
Standard Model (SU(3)×SU(2)×U(1))
Key components:
Open publications/gift_v2_notebook.ipynb and run cells sequentially:
Section 1: Three geometric parameters
β₀ = 1/(4π²) # Base coupling
ξ = 5β₀/2 # Correlation parameter (derived!)
ε₀ = 1/8 # Symmetry breaking scale
Section 2: Derived quantities
Section 3: Neutrino predictions
Section 4: Comparison with experiment
For Quick Overview → README.md
For Theoretical Details → publications/gift_main.md
For Mathematical Rigor → publications/supplements/B_rigorous_proofs.md
For Specific Topics → publications/supplements/
| 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% |
Source: Supplement C, Sections 4-6
| 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% |
Source: Supplement C, Section 8
All 10 elements predicted with mean deviation 0.11%.
Source: Supplement C, Section 9
| Observable | Experimental | GIFT | Deviation |
|---|---|---|---|
| Ω_DE | 0.6889(56) | ln(2) = 0.693 | 0.10% |
Source: Main paper Section 4.7, Extensions document
β₀ = 1/(4π²): Base coupling strength
ξ = 5β₀/2: Correlation parameter
ε₀ = 1/8: Symmetry breaking scale
Parameter count: 3 (down from Standard Model’s 19)
Derivation chain:
See: Supplement C.4 for complete derivation
Exact relation:
N_gen = rank(E₈) - rank(Weyl(E₇))
= 8 - 5
= 3
Status: PROVEN via index theorem See: Supplement B.4 for rigorous proof
Want to understand a specific prediction? → Check Supplement C (Complete Derivations)
Need rigorous mathematical proof? → Check Supplement B (Rigorous Proofs)
Looking for experimental comparison? → Check Supplement D (Phenomenology)
Want to know if framework can be falsified? → Check Supplement E (Falsification Criteria)
Need definition of technical term?
→ Check docs/GLOSSARY.md
Have a question?
→ Check docs/FAQ.md or open issue on GitHub
Q: Is this tested experimentally?
A: Yes. 34 observables compared with experiment, mean deviation 0.13%. See Supplement D and docs/EXPERIMENTAL_VALIDATION.md.
Q: How many free parameters? A: 3 geometric parameters (β₀, ξ, ε₀), where ξ is derived from β₀ via exact relation. Standard Model has 19.
Q: Can this be falsified? A: Yes. Multiple clear tests outlined in Supplement E. Strongest: fourth generation discovery or δ_CP deviation from 197° at high precision.
Q: What about gravity? A: Framework derives low-energy parameters but doesn’t yet address quantum gravity directly. Connection to information theory suggests potential path forward.
Q: Why E₈×E₈? A: E₈ is largest exceptional Lie algebra with unique properties. Two copies provide sufficient structure for Standard Model content via dimensional reduction. Binary architecture (496→99) may encode optimal information compression.
publications/gift_main.mdpublications/supplements/A_math_foundations.mdpublications/supplements/B_rigorous_proofs.mdpublications/gift_main.md Section 4publications/supplements/E_falsification.mddocs/EXPERIMENTAL_VALIDATION.mdpublications/gift_v2_notebook.ipynbdocs/FAQ.mddocs/GLOSSARY.mdCONTRIBUTING.md for guidelinesSTRUCTURE.md for repository organizationDocumentation: Most questions answered in:
README.md (overview)docs/FAQ.md (common questions)docs/GLOSSARY.md (definitions)Issues: For bugs, questions, or suggestions:
Discussion: For broader topics:
If you use GIFT in your research:
@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.
In 5 minutes you can:
In 30 minutes you can:
In a few hours you can:
Welcome to the GIFT framework. The mathematics is rich, the predictions are precise, and the implications are profound.
“From bit to GIFT”