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Machine Learning the Higgs-top CP Measurement

23 Aug 2021, 11:15
20m
ZR2

ZR2

Searches for the BSM Physics at the LHC and Future Hadronic Colliders Searches for the BSM Physics at the LHC and Future Hadronic Colliders

Speaker

Rahool Barman (Oklahoma State University)

Description

We explore the direct Higgs-top CP structure via the $pp \to t\bar{t}h$ channel with machine learning techniques, considering the clean $h \to \gamma\gamma$ final state at the high luminosity LHC~(HL-LHC). We show that a combination of a comprehensive set of observables, that include the $t\bar{t}$ spin-correlations, with mass minimization strategies to reconstruct the $t\bar{t}$ rest frame provide large CP-sensitivity.

Primary authors

Dorival Gonçalves (Oklahoma State University) Rahool Barman (Oklahoma State University) Felix Kling (SLAC)

Presentation materials