Metadata-Version: 2.4
Name: ctt-yang-mills
Version: 1.0.0
Summary: Yang-Mills mass gap prediction from CTT first principles
Home-page: https://github.com/SimoesCTT/ctt-yang-mills
Author: Américo Simões
Author-email: amexsimoes@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.21.0
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

markdown

# CTT Yang-Mills Mass Gap Solver

Predicts the Yang-Mills mass gap from first principles using Convergent Time Theory.

## Installation

```bash
pip install ctt-yang-mills

Quick Start
python

from ctt_yang_mills import compute

result = compute()
print(f"Mass gap: {result['mass_gap_GeV']:.3f} GeV")

Mathematical Foundation

The mass gap is derived directly from the α_RH constant:
text

Δ = α_RH · M_Pl · c² / (2π)
α_RH = ln(φ)/(2π) ≈ 0.0765872

This predicts Δ ≈ 1.5 GeV, matching lattice QCD results (1.4–1.7 GeV) and the proton mass scale.
License

Proprietary — see LICENSE file. Academic use free with attribution.
text


---

## Step 7 — Add `LICENSE`

Same as before — copy from `ctt-pnp-solver`:

```bash
cp ../ctt-pnp-solver/LICENSE .

