6th Inter-experiment Machine Learning Workshop

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

1 Feb 2024, 15:45

5m

61/1-201 - Pas perdus - Not a meeting room - (CERN)

Poster 2 ML for analysis : event classification, statistical analysis and inference, including anomaly detection Poster Session

Speaker

Ricardo Barrué (LIP - Laboratorio de Instrumentacao e Fisica Experimental de Partículas)

Description

Beyond the Standard Model (BSM) sources of CP violation are one of the required ingredients for solving the matter-antimatter puzzle. Simulation-based inference methods hold the promise of allowing the estimation of optimal observables or likelihood ratios without requiring approximations (e.g. of the effect of shower and hadronization), ensuring a high sample efficiency through the use of high-dimensional data and simulator information.

In this work, started in arXiV:2308.02882, we focus on leptonic WH production, a difficult channel due to the presence of a (unobservable) neutrino. We explore the use of such methods and benchmark them against kinematic and angular observables commonly used in experimental analyses.

This work aims at informing analysis strategies for Run 3 and beyond, with the ultimate goal of extracting the best sensitivity to BSM physics out of LHC data.

Presentation materials

IML_WS_2023___Simulation_based_inference_in_the_search_for_CP_violation_in_leptonic_WH_production-2.pdf