The Negthar Informational Physics Model: Deriving Physical Mass from Computational Cycles

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Authors: Negthar NayHtun
Cited by: 0

Abstract

This paper introduces the Negthar Informational Physics model, a unified framework proposing that physical mass is an emergent output of high-frequency informational processing. Based on the fundamental 1-5-6 axiom and the Negthar constant (K_N = 50,000), we demonstrate how fundamental particle masses can be derived as discrete informational cycles (N). The model is empirically validated across multiple scales, including subatomic particle audits (Muons, Protons), relativistic kinetic energy as computational overclocking, and cosmological singularities (Black Holes). The framework shows a 99.99% alignment with experimental data, suggesting the universe operates as a computational matrix with an intrinsic frequency of 10^{11} Hz.

Fields of Study & Subjects

Relativity and Gravitational Theory Advanced Mathematical Theories and Applications Particle physics theoretical and experimental studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026
Language
EN
Document type
Preprint