LNAL-Gravity

Light-Native Assembly Language (LNAL) gravity research - Recognition Science implementation of parameter-free galactic gravity theory.

This repository contains core algorithms and documentation for a novel approach to galactic rotation curves based on Recognition Science principles. The theory derives all gravitational behavior from first principles without free parameters, achieving χ²/N ≈ 1.04 across SPARC galaxies.

Current Repository Contents

Core Implementation

• lnal_solver_core.py — Simplified demonstration solver implementing Recognition Science gravity principles
• requirements.txt — Minimal dependencies (numpy, scipy, matplotlib)

Key Documentation

• LNAL_Mathematical_Summary.txt — Complete mathematical derivation from first principles
• LNAL_Gravity_Nature_Paper.tex — Formal academic manuscript
• source_code.txt — Full implementation reference and algorithm details

Project Structure

• .gitignore — Excludes large binary outputs (plots, pickles, data files)

Theory Overview

Recognition Science gravity emerges from:

1. Golden ratio geometry (φ = 1.618...) in curved spacetime
2. Information field equations with derived MOND emergence
3. Zero free parameters — everything derived from axioms
4. Recognition lengths ℓ₁ = 0.97 kpc, ℓ₂ = 24.3 kpc

Complete Implementation

The full project contains 100+ analysis scripts, complete SPARC galaxy data processing, hierarchical solvers, and validation plots. Due to file size constraints, the complete implementation remains in the local workspace. Key missing components:

• lnal_prime_final_solver.py — Complete field equation solver
• SPARC rotation curve data (Rotmod_LTG/, *.mrt files)
• Analysis results (*.pkl, *.png outputs)
• 50+ theoretical documents and peer-review drafts

Quick Start

pip install -r requirements.txt
python lnal_solver_core.py

For access to the complete implementation, contact the author.

---

Jonathan Washburn
Recognition Science Institute — Austin, Texas
x.com/jonwashburn