SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 113: QCD Theory and Experiment II

T 113.5: Vortrag

Donnerstag, 23. März 2023, 16:50–17:05, HSZ/0405

Machine-learning off-shell effects in top quark production at the LHC — •Mathias Kuschick — Institut für Theoretische Physik, Münster

Measuring top quark processes at the LHC is an important test of the Standard Model of particle physics. As the heaviest of all quarks the investigation into its properties allows for tests of QCD and the electroweak interaction as well as tests of the Higgs mechanism, but also provides a window to new physics. Therefore, a precise determination of the top quark's fundamental properties is compulsory. Such determinations heavily rely on precise theoretical calculations. The most sophisticated of such calculations include improvements such as radiative corrections or off-shell effects, which make them extremely computational costly to evaluate. In my talk I will explore the use of modern machine learning techniques such as neural networks to learn how top pair production predictions change when finite width and interference effects are included in an effort to bypass the undesirable computational complexity of such calculations.