Speaker
Description
A high energy muon collider delivers exceptional physics reach and creates one of the most challenging tracking environments in collider physics. Intense beam-induced background (BIB) from muon decays generates extremely high inner layer hit occupancy and leads to large demands on computing resources for pattern recognition. These conditions make it essential to co-optimize the tracker layout and the reconstruction algorithms to maximize performance while minimizing cost. This contribution presents the tracking challenge in detail and motivates the need for detectors and algorithms that exploit strong locality, outside-in reconstruction, parallelism, and robustness against dense environments. Line Segment Tracking (LST), originally developed for CMS at the High Luminosity LHC, provides a promising approach: it builds short, locally consistent segments and links them efficiently into full track candidates, a strategy well-suited to highly parallel hardware and high occupancy conditions. The approach naturally extends to efficient reconstruction of displaced tracks. Preliminary studies applying LST principles to muon collider backgrounds demonstrate encouraging performance and scalability. The talk will outline the problem, describe the LST methodology, and show early results illustrating significant mitigation of the tracking burden at a future muon collider.
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