GIFT: Geometric Information Field Theory
GIFT derives Standard Model parameters from Eβ Γ Eβ gauge theory compactified on Gβ-holonomy manifolds, achieving 0.24% mean deviation across 50+ physical observables with 460+ machine-verified relations (4 axioms) and zero free parameters.
Quick Links
- GIFT Blueprint v3.4.8 - Dependency graph visualization
- Blueprint (web) - Lean blueprint with proofs
- Blueprint (pdf) - Downloadable PDF
- Dependency Graph - Proof dependencies
- API Documentation - Lean code documentation
Key Results
| Constant | GIFT Value | Measured | Deviation |
|---|---|---|---|
| sinΒ²ΞΈ_W | 3/13 β 0.2308 | 0.2312 | 0.17% |
| Ξ±_EMβ»ΒΉ | 137.036β¦ | 137.036 | <0.001% |
| n_s | ΞΆ(11)/ΞΆ(5) β 0.965 | 0.965 | 0.03% |
Repository Structure
gift-framework/core/
βββ GIFT/ # Lean 4 formal proofs (130 files, 460+ relations, 4 axioms)
βββ GIFTTest/ # Lean test files
βββ contrib/ # Python package, blueprint, homepage
βββ lakefile.lean # Lake build configuration
Getting Started
# Clone the repository
git clone https://github.com/gift-framework/core.git
cd core
# Build Lean proofs
lake build
# Install Python package
pip install giftpy
Links
- GitHub Repository
- Lean Zulip - Lean community chat