Last modified by Ricardo Julio Rodríguez Fernández on 2025/07/10 16:07

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1 === Classifiers for LLPs searches at LHCb ===
2 ==== Supervisor: Pablo Eduardo Menéndez-Valdés Pérez
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5 Several Beyond the Standard Model (BSM) theories predict the existence of Long-Lived Particles (LLPs), which may largely escape detection by current particle physics experiments. However, these particles could occasionally decay into known elementary particles—such as muons—making their detection possible under certain conditions.
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7 The LHCb detector provides excellent precision in reconstructing both production and decay vertices. Leveraging this capability with Machine Learning (ML) techniques can significantly enhance the sensitivity to LLP signatures. In this project, we aim to develop and evaluate such ML tools by comparing the performance of various algorithms within the XGBoost library.