Speaker
Rahool Kumar 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 includes the $t\bar{t}$ spin-correlations, with mass minimization strategies to reconstruct the $t\bar{t}$ rest frame provides large CP-sensitivity.
Authors
Dorival Gonçalves
(Oklahoma State University)
Rahool Kumar Barman
(Oklahoma State University)
Felix Kling
(DESY)
