SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 57: Single Top – Higgs Top

T 57.2: Vortrag

Mittwoch, 22. März 2023, 16:05–16:20, HSZ/0101

Constraining effective field theory coefficients with machine learning in top quark pair production at CMS — •andre zimermmane-santos, gilson correia, afiq anuar, alexander grohsjean, and christian schwanenberger — Deutsches Elektronen-Synchrotron DESY, Notkestraße 85, D-22607 Hamburg

Effective Field Theories (EFT) provide a systematic way to look for physics beyond the Standard Model (SM) via indirect searches. Nevertheless even the most restrictive scenarios contain dozens of operators predicting subtle deviations from the SM. Such small effects could only be significantly measured over a high-dimensional space of observables. While this complex problem does not scale well with traditional analysis approaches, likelihood-free inference methods based on machine learning (ML) techniques can be combined with the knowledge of the EFT structure to perform test statistics efficiently using several EFT parameters as well as a high number of observables. In this study, we aim at applying recent developments in ML-based inference on the measurement of all QCD-like dimension-six EFT operators in the top quark pair production process at the LHC.