Optimized probes of CP-odd effects in the tt¯h process at hadron colliders

We use machine learning (ML) and non-ML techniques to study optimized CP-odd observables, directly and maximally sensitive to the CP-odd iκ˜t¯γ5th interaction at the LHC and prospective future hadron colliders using the final state with a Higgs boson and a top quark pair, pp→tt¯h, followed by semile...

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Bibliographic Details
Published inNuclear physics. B Vol. 964; p. 115328
Main Authors Bortolato, Blaž, F. Kamenik, Jernej, Košnik, Nejc, Smolkovič, Aleks
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2021
Elsevier
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Summary:We use machine learning (ML) and non-ML techniques to study optimized CP-odd observables, directly and maximally sensitive to the CP-odd iκ˜t¯γ5th interaction at the LHC and prospective future hadron colliders using the final state with a Higgs boson and a top quark pair, pp→tt¯h, followed by semileptonic t decays. We perform phase-space optimization of manifestly CP-odd observables (ω), sensitive to the sign of κ˜, and constructed from experimentally accessible final state momenta. We identify a simple optimized linear combination α⋅ω that gives similar sensitivity as the studied fully fledged ML models. Using α⋅ω we project the expected sensitivities to κ˜ at HL-LHC, HE-LHC, and FCC-hh.
ISSN:0550-3213
1873-1562
DOI:10.1016/j.nuclphysb.2021.115328