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Sources of CP violation beyond the Standard Model (BSM) are required toexplain the baryonic asymmetry of the Universe. In this work, we studied BSM CPviolating components in the HWW interaction in WH production, parametrized byan effective dimension-6 CP-odd operator. We studied the feasibility of using amachine learning simulation-based inference method, SALLY, that estimates adetector-level optimal observable, and compared its sensitivity to that ofenergy-dependent and angular observables, also studying various binnings forthese observables. We show that, when linear effects in the Wilson coefficientsdominate, an observable such as SALLY will lead to optimal limits. In theregions of phase space where quadratic effects are significant, the bestsensitivity comes from a 2D combination of an angular observable and anenergy-dependent variable with bins in the high-energy region. This works aimsat testing the current multivariate techniques in view of informing analysisstrategies for LHC Run 3.

Simulation-based inference in the search for CP violation in leptonic WH production