Faculty mentor: Yue Zhao
The existence of Long-Lived Particles (LLPs) is highly motivated in Hidden Valley (HV) models. MATHUSLA is a newly proposed detector that is designed to be sensitive to LLP signatures. We use PYTHIA, a programming language, to generate a high-energy collison event at the Large Hadron Collider (LHC) to study the decay of a HV pion into dimuon pairs. We are interested in estimating the sensitivity of MATHUSLA to HV signatures.
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