Machine learning the Higgs boson-top quark phase
Autor: | Rahool Kumar Barman, Dorival Gonçalves, Felix Kling |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
p p: scattering
data analysis method high [luminosity] FOS: Physical sciences pair production [top] High Energy Physics - Experiment High Energy Physics - Experiment (hep-ex) phase space High Energy Physics - Phenomenology (hep-ph) CERN LHC Coll: upgrade scattering [p p] ddc:530 Higgs particle: leptonic decay upgrade [CERN LHC Coll] sensitivity [new physics] computer leptonic decay [Higgs particle] polarization [top] High Energy Physics::Phenomenology phase: CP CP [phase] High Energy Physics - Phenomenology production [Higgs particle] new physics: sensitivity Higgs particle: production kinematics High Energy Physics::Experiment top: polarization luminosity: high top: pair production |
Zdroj: | Physical Review Physical review / D 105(3), 035023 (2022). doi:10.1103/PhysRevD.105.035023 |
DOI: | 10.3204/PUBDB-2021-04062 |
Popis: | Physical review / D 105(3), 035023 (2022). doi:10.1103/PhysRevD.105.035023 We explore the direct Higgs boson-top CP measurement via the $pp ��� t\bar{t}h$ channel at the high-luminosity LHC. We show that a combination of machine learning techniques and efficient kinematic reconstruction methods can boost new physics sensitivity, effectively probing the complex $t\bar{t}h$ multiparticle phase space. Special attention is devoted to top quark polarization observables, uplifting the analysis from a raw rate to a polarization study. Through a combination of hadronic, semileptonic, and dileptonic top pair final states in association with $h�������$, we obtain that the HL-LHC can probe the Higgs boson-top coupling modifier and CP phase, respectively, up to $|��_t|���8% and |��|���13��$ at $68%$ C.L. Published by Inst., Melville, NY |
Databáze: | OpenAIRE |
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