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Using Line Segment Tracking to enable ML-based Track Reconstruction in CMS

Aashay Arora on behalf of the CMS Collaboration
arXiv (All) · Papers
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high-energy-physics-experimentmachine-learning
High-pileup conditions in CMS during the HL-LHC era make charged-particle tracking increasingly challenging as detector occupancy and combinatorics grow. We present a hybrid approach that exploits Line Segment Tracking (LST) objects rather than individual hits to enable the first CMS ML-based track
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