ICCF Particle Mass Spectrum Generation Function: Deriving Particle Masses from First Principles

This paper proposes a new framework for particle mass generation based on the Information-Cognitive Compression Field (ICCF) theory, derived from first principles. Unlike the Standard Model, which treats particles as point-like entities with masses imparted through interactions with the Higgs field, ICCF theory views particles as stable solutions of an intrinsic causal and topological structure. The masses, charges, and other physical properties of these particles are determined by their internal geometric and causal structures. Using quantum numbers such as the causal saturation index Sc, main compression topological number nT, and geometric configuration quantum number lg, the ICCF framework offers a generative mass function that can explain the mass hierarchy of particles observed in the Standard Model and predict the mass of yet-to-be-discovered particles. This framework not only provides a new understanding of particle physics but also opens new avenues for experimental verification, particularly in the search for dark matter candidates and other new particles. The paper explores the mathematical foundations of ICCF theory, its connection to existing experimental data, and predictions for future high-energy physics experiments.