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Last modified by Ricardo Julio Rodríguez Fernández on 2026/06/14 08:36
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edited by Ricardo Julio Rodríguez Fernández
on 2026/06/14 08:36
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1 1  === Machine Learning for Long-Lived Particle Searches at CODEX-beta ===
2 -==== Titor: Xabier Cid Vidal ====
3 -==== Supervisor: Alberto Martínez Armas
2 +==== Titor: [[Xabier>>https://igfae.usc.es/igfae/persoa/cid-vidal-xabier/159/||target="_blank"]] Cid Vidal ====
3 +==== Supervisor: [[Alberto>>https://igfae.usc.es/igfae/persoa/martinez-armas-alberto/664/||target="_blank"]] Martínez Armas
4 4  ====
5 5  
6 6  The study of Long-Lived Particles (LLPs) constitutes a promising path to find physics beyond the Standard Model. These particles are characterized by having a decay point far from the proton-proton collision point. CODEX-beta, located near LHCb at CERN, is a new detector prototype designed specifically to search for these displaced signatures. In this project, we will develop a Machine Learning algorithm capable of reconstructing trajectories from the detector data and extracting potentially discriminating variables. This approach will help discern between the LLP signal and the Standard Model background, significantly improving the search sensitivity.