Machine learning the Higgs-top CP Measurement

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Rahool Kumar Barman (Oklahoma State University)


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 includes the $t\bar{t}$ spin-correlations, with mass minimization strategies to reconstruct the $t\bar{t}$ rest frame provides large CP-sensitivity.

Primary authors

Dorival Gonçalves (Oklahoma State University) Rahool Kumar Barman (Oklahoma State University)

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