Analysis of the Behaviour of Particles in a Particle Accelerator: A Particle Physics and High-Energy Collision Study

Abstract

This study investigates the behaviour of particles in high-energy proton-proton collisions within the Large Hadron Collider (LHC) at energy levels of 13 TeV, focusing on the emergence of new particles and energy distribution following these collisions. Using a dataset of 1.6 billion collision events, the study employed the ROOT software framework for data pre-processing, filtering, and statistical analysis. Key objectives included identifying patterns in particle production, energy transfer, and decay processes. The results revealed that protons dominated the particle types detected (59.82%), followed by muons (19.79%), hadrons (10.25%), and smaller fractions of leptons and photons. Statistical significance was observed in particle suppression (p = 0.043), and the presence of dark matter candidates was confirmed with a p-value of 0.034, marking a significant contribution to the search for beyond-Standard Model physics. While no statistically significant evidence was found for supersymmetric particles, muon decay patterns suggested complex interactions that may indicate the presence of new physics. This research contributes to the understanding of particle behavior in high-energy environments and offers critical insights into potential dark matter interactions, with broad implications for both experimental and theoretical physics. The study underscores the importance of particle accelerators like the LHC in pushing the boundaries of modern physics and exploring the fundamental forces that govern the universe.