What question did this study set out to answer?

The paper aims to derive the proton-to-electron mass ratio from first principles using cascade geometry.

May 27, 20260 citationsOpen Access

The Proton-to-Electron Mass Ratio from Cascade Geometry: A First-Principles Derivation of the QCD–Electroweak Scale Interface

Key Points

The paper aims to derive the proton-to-electron mass ratio from first principles using cascade geometry.
Derivation using the two Feigenbaum constants α and δ.
Calculation of mp/me based on relationships with cascade parameters.
Presentation of equivalent forms to unify mass ratio and electromagnetic coupling.
The derived mass ratio mp/me = 1834.539 with an error of 0.088%.
Connection established between mass ratio and electromagnetic coupling through cascade geometry.
Result is consistent with known QCD electromagnetic corrections.

Abstract

The proton-to-electron mass ratio mp/me = 1836. 15267343 (CODATA 2018) has no accepted derivation from first principles. The Wyler approximation 6π⁵ ≈ 1836. 118 0. 002% has been known for fifty years but resists theoretical explanation. This paper derives the cascade tree-level prediction from the two Feigenbaum constants α = 2. 502907875 and δ = 4. 669201609: mp/me = 4α⁵δ = 4α²/ (T·αₑm) = 1834. 539 error 0. 088%, where T = δ/α = 1. 865510775 is the cascade transit ratio and αₑm = 1/136. 576 is the cascade-derived fine structure constant (Paper 44). Five equivalent forms are presented, the most compact being (mp/me) × αₑm = 4α²/T = 13. 432 0. 088%, which connects the mass ratio, the electromagnetic coupling, and the cascade geometry in a single equation with no free parameters. The residual 0. 088% = 0. 12 × αₑm is consistent with known QCD electromagnetic corrections to the proton mass. This result completes the cascade derivation of the Standard Model mass hierarchy from the electron (0. 511 MeV) through the proton (938 MeV), top quark (174 GeV), and Higgs boson (125 GeV) — twelve orders of magnitude from two numbers. Paper 49 of the Resonance Theory series.

Ask AI

Helpful

Bookmark

View Full Paper