Self-Organizing Fuzzy Rule-Based Approach for Muons Classification in High Energy Physics

Abstract

In Particle Physics, the aim is to deepen the understanding of the structure of matter. Collider experiments are essential tools to experimentally validate theories and investigate the existence of physics beyond the Standard Model of Particle Physics. In this context, muons are important signatures for many relevant physical processes. This work presents an enhanced approach based on Self-Organizing Fuzzy Classifiers applied to muon classification. Experimental results are provided and discussed, demonstrating the effectiveness of Self-Organizing Fuzzy Classifiers in addressing the problem.