Conceptio › Archive › PhilArchive
PhilArchive open access

Stationary Response-Energy Mass Selection in Natural Physics: A Unified Mass Architecture for Leptons and Nucleons

N. Panagis, Dr Christoforos
PhilArchive · Papers
Open Source ↗
philosophy
This paper develops a stationary response-energy account of rest-mass selection within Natural Physics. A conservative common-complex localization branch is shown to admit nonzero finite-energy, orbitally stable stationary states, providing a mass-independent existence basis before numerical spectral selection. The finite-response registry then supplies a branch-closed charged-family construction and a common mass scale from which numerical values for the principal massive constituents of ordinary matter are obtained. The resulting forward values are (0.5106758) MeV for the electron, (938.213785460) MeV for the proton, and (939.531816413) MeV for the neutron, with the nucleon values lying within a few (10^{-5}) fractionally of experiment. The same construction also generates the charged-lepton family hierarchy. The result is therefore a candidate unified stationary mass architecture spanning leptons and nucleons from one finite-response grammar and rest-energy map. The nucleon composite and charge-doublet identifications remain explicitly conditional; atomic binding and many-body mass defects are not claimed to be derived here.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 688991
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive