Revolutionary method to derive fundamental physics parameters from observed constants using iterative backward-forward reconstruction. Predicting 31% Higgs coupling anomalies and new physics beyond Standard Model.
- Updated
Nov 28, 2025 - Python
Revolutionary method to derive fundamental physics parameters from observed constants using iterative backward-forward reconstruction. Predicting 31% Higgs coupling anomalies and new physics beyond Standard Model.
We present a novel reverse reconstruction method that predicts the QCD critical point at $T = 151$ MeV, $\mu_B = 364$ MeV from fundamental physical constants. Our approach shows excellent agreement with LHC data and provides testable predictions for CERN's recent oxygen-proton collision program.
We present a **reverse reconstruction method**, which the 18 fundamental constants of the Standard Model from just 5 primordial parameters with 1-3% accuracy.
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