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Constraining $$ \mathcal{CP} $$-violation in the Higgs-top-quark interaction using machine-learning-based inference

Henning Bahl, Simon Braß

2022Journal of High Energy Physics33 citationsDOIOpen Access PDF

Abstract

A bstract While $$ \mathcal{CP} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>CP</mml:mi></mml:math> violation in the Higgs interactions with massive vector boson is already tightly constrained, the $$ \mathcal{CP} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>CP</mml:mi></mml:math> nature of the Higgs interactions with fermions is far less constrained. In this work, we assess the potential of machine-learning-based inference methods to constrain $$ \mathcal{CP} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>CP</mml:mi></mml:math> violation in the Higgs top-Yukawa coupling. This approach enables the use of the full available kinematic information. Concentrating on top-associated Higgs production with the Higgs decaying to two photons, we derive expected exclusion bounds for the LHC and the high-luminosity phase of the LHC. We also study the dependence of these bounds on the Higgs interaction with massive vector bosons and their robustness against theoretical uncertainties. In addition to deriving expected exclusion bounds, we discuss at which level a non-zero $$ \mathcal{CP} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>CP</mml:mi></mml:math> -violating top-Yukawa coupling can be distinguished from the SM. Moreover, we analyze which kinematic distributions are most sensitive to a $$ \mathcal{CP} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>CP</mml:mi></mml:math> -violating top-Yukawa coupling.

Topics & Concepts

PhysicsParticle physicsTop quarkCP violationHiggs bosonInferencePhysics beyond the Standard ModelQuarkStrong CP problemBottom quarkDark matterArtificial intelligenceAxionComputer scienceParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsComputational Physics and Python Applications
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