Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.
Albertet al., Strange quark as a probe for new physics in the Higgs sector, inSnowmass 2021(2022) arXiv:2203.07535 [hep-ex]
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Silicon tracker PID suppresses backgrounds well for low-momentum b-tagging but requires drift-chamber cluster counting for high-momentum s-jet tagging, with 30 ps timing needed to improve rare b to s decay contamination by an order of magnitude over kinematics alone.
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Learning from all particles in high-energy collisions
Deep learning on all particles via holistic analysis and Advanced Color Singlet Identification improves Higgs signal extraction up to sixfold in high-energy collisions.
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Flavor-physics benchmarks for tracker-based particle identification at the FCC-ee
Silicon tracker PID suppresses backgrounds well for low-momentum b-tagging but requires drift-chamber cluster counting for high-momentum s-jet tagging, with 30 ps timing needed to improve rare b to s decay contamination by an order of magnitude over kinematics alone.