Oct 18 – 22, 2021
America/New_York timezone

Machine learning the Higgs-top CP Measurement

Oct 21, 2021, 4:45 PM
Parallel Sessions Yukawa interactions Parallel: Yukawa


Rahool 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 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