Machine-enhanced CP-asymmetries in the Higgs sector

Abstract

Improving the sensitivity to CP-violation in the Higgs sector is one of the pillars of the precision Higgs programme at the Large Hadron Collider. We present a simple method that allows CP-sensitive observables to be directly constructed from the output of neural networks. We show that these observables have improved sensitivity to CP-violating effects in the production and decay of the Higgs boson, when compared to the use of traditional angular observables alone. The kinematic correlations identified by the neural networks can be used to design new analyses based on angular observables, with a similar improvement in sensitivity.

10 pages, 7 figures, 2 tables, v2: added clarifications, references updated, v3: version published in PLB

References in corpus (6)

• Anomalous Higgs boson couplings in vector boson fusion at the CERN LHC
• Measuring spin and CP from semi-hadronic ZZ decays using jet substructure
• SMEFT analysis of vector boson scattering and diboson data from the LHC Run II
• SM EFT effects in Vector-Boson Scattering at the LHC
• Effective field theory versus UV-complete model: vector boson scattering as a case study
• T-odd Asymmetry in W+jet Events at the LHC

Cited by in corpus (6)

• Constraining the CP structure of Higgs-fermion couplings with a global LHC fit, the electron EDM and baryogenesis
• CP-violation, Asymmetries and Interferences in $t\bar{t}\varphi$
• Simulation-based inference in the search for CP violation in leptonic WH production
• Sensitivity to $\mathcal{C}\mathcal{P}$-violating effective couplings in the top-Higgs sector
• Equivariant neural networks for robust $\text{CP}$ observables
• Measurements and interpretations of $W^{\pm }Z$ production cross-sections in $pp$ collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detector