Suppressing backgrounds at a future Muon Collider with the SoftKiller algorithm
ORAL
Abstract
A muon collider combines high center-of-mass energy, clean collision environments, and compact designs into a powerful tool for high energy physics. This study addresses the critical challenge of beam-induced background (BIB), a byproduct of muon decay that complicates event reconstruction and impacts detector performance. We first characterize the spatial and energy distributions of BIB in the calorimeters to better understand its impact on jet reconstruction and detector occupancy. Building on this, we explore software-based mitigation strategies, including algorithms like SoftKiller and optimized parameter cuts. The results contribute to the realization of a muon collider as a part of the next generation of particle physics research.
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Presenters
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Samuel Ferraro
Harvard University
Authors
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Samuel Ferraro
Harvard University