TruongSSCL: A Deterministic High-Rigor Statistical–Conservation Law Framework for Particle Discovery and Resonance Detection

TruongSSCL is a deterministic mathematical–physical framework for particle discovery based on exact conservation laws, closed-form likelihood theory, and Fisher-information geometry. The project provides: • a fully rigorous theoretical derivation (axioms, theorems, proofs)• an exact statistical solver (no stochastic training or Monte Carlo)• a deterministic discovery pipeline for invariant-mass resonance search• reproducible numerical implementation Unlike machine-learning based approaches, the method relies solely on analytic likelihood maximization and conservation constraints, ensuring: – full reproducibility– no randomness– closed-form statistical guarantees– interpretable physical parameters The framework is applicable to: • high-energy particle physics (resonance discovery, Higgs-like searches)• statistical mechanics• mathematical physics• computational chemistry (element / structure inference) An example pipeline using public ATLAS/CMS open data is included for demonstration. All computations are deterministic and exactly reproducible.