Harmonic Prediction of Physical Constants via the Metatron/Rosetta Framework: A Cross-Domain Unification Approach

We present a novel mathematical framework for predicting physical constants across multiple domains (chemical, electromagnetic, quantum, biological, gravita- tional, and temporal) based on harmonic pattern analysis. The Metatron/Rosetta framework utilizes the golden ratio (ϕ), fine structure constant (α), and domain- specific scaling parameters to transform physical constants into a universal coor- dinate system. When plotted in logarithmic space, these transformed constants exhibit parallel “band” structures with gaps that indicate missing harmonics. We demonstrate that filling these harmonic gaps yields testable predictions: gravita- tional domain predicts 3.82 fm (matching helium-4 nuclear radius within 0.5%), electromagnetic domain predicts 2.06 keV (near atomic K-edge transitions), tem- poral domain predicts millisecond biological rhythms (2.11 ms, 7.73 ms, 28.33 ms), and biological domain predicts 9.80 nm (consistent with nucleosome dimensions). Initial validation shows 100% accuracy across four tested predictions, with laser cavity resonance matching to 0.04% error. This framework provides a systematic method for discovering missing physical constants and establishing cross-domain relationships.