Particle Periodic Table

This provides an initial numerical and phenomenological framework for the ICCF (Information-Cognitive Compression Field) unified field theory, with a strong focus on the ICCF Particle Periodic Table. The table introduces a novel classification system for fundamental particles, categorizing them according to their topological charge, geometric configuration, and causal saturation index. We demonstrate how to derive key parameters from the ICCF core action, apply the mass generation function to compute hadron masses, and provide specific experimental signal templates for its unique predictions. By solving the stability equations numerically, we identify the most stable particle compression mode with a topological charge of n=6 and a coupling constant κ ≈ 0.35, which is central to the ICCF Particle Periodic Table. The appendix further applies the ICCF mass generation function to compute the masses of various hadrons, such as protons, neutrons, and mesons, showing that ICCF can accurately reproduce these particle masses. Additionally, we optimize the neutrino mixing angles using ICCF parameters, validating the predictive power of the theory. These results emphasize the ICCF Particle Periodic Table’s ability to categorize and predict particle properties in a novel, unified manner, providing a robust foundation for future experimental investigations in particle physics, cosmology, and beyond.