From the Fundamental Speed Theory to a Unified Nuclear Radius Law: A Complete First-Principles Derivation with Empirical Validation

23 May 2026, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

We present a first-principles-based derivation of a unified nuclear radius law within the Fundamental Speed Theory (FST). The central theoretical link used throughout is a local, high-density saturation relation between the FST speed field and matter density, \nu (\rho) = \nu_0(\rho /\rho_{\mathrm{gal}})^{1 / 4} (Appendix A), obtained under an explicit quasi-static saturation assumption that the field energy density tracks the local material energy density. Applied to nuclear matter, this yields a constant-density core and the classical A^{1 / 3} scaling. Small density variations with proton and neutron number generate a linear structure correction \Delta R \propto (5.18Z + 6.56N) (Appendix B). Scale dependence of the probing interaction yields a lepton-mass correction \Delta R \propto A^{1 / 3}(1 / m_e - 1 / m_e) ; the coefficient k_p is estimated from an RG-motivated flow argument and then fixed to the proton-scale normalization, with the remaining theoretical gap isolated for future work (Appendix C). Shell effects are modeled through the field response to shell-density oscillations (Appendix D). The resulting law is tested against the complete IAEA nuclear charge radii database (952 nuclei with A \geq 4 ), reducing the RMS error from 1.502 fm to 0.294 fm ( R^2 = 0.862 ). We also show that the lepton-mass term yields a proton-radius splitting of R_p^e - R_p^\mu \approx 0.034 fm at the adopted normalization. All appendices provide complete dimensional verification.

Keywords

Nuclear charge radius
Proton radius puzzle
Fundamental Speed Theory
Lepton mass scaling
Unified nuclear model
Muonic atoms
Shell correction
QCD
Renormalization group
Wilsonian matching

Supplementary materials

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Python code used on the IAEA database file
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Python code used on the IAEA database file
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