Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 8: Top Physics I (tt+X)
T 8.2: Vortrag
Montag, 31. März 2025, 17:00–17:15, VG 1.103
Event classification for the measurement of differential cross-sections in single-top + photon events at the ATLAS experiment with √s = 13 TeV — •Lucas Cremer1, Nils Julius Abicht1, Tomas Dado2, and Andrea Helen Knue1 — 1TU Dortmund, Experimentelle Physik — 2CERN
After the observation of single-top quark production in association with a photon at the ATLAS experiment, differential cross-sections of this process are measured. The resulting distributions will be unfolded and interpreted in terms of effective-field-theory operators.
An important step in the analysis is the classification of signal and background events. This classification will be used to define a signal region enriched with tqγ events, allowing for a stable unfolding of observables sensitive to physics beyond the Standard Model. A deep feed-forward neural network is trained to classify the events based on the kinematic properties of the objects in the final state. Furthermore, the sensitivity of various high-level variables is studied to optimize the performance of the neural network. The training is applied to the complete ATLAS Run-2 dataset, corresponding to an integrated luminosity of 140 fb−1.
Keywords: Single Top; Machine Learning; Signal-background separation