Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 54: Data, AI, Computing, Electronics V (Anomaly Detection, Event Selection)
T 54.8: Vortrag
Mittwoch, 2. April 2025, 18:00–18:15, VG 2.101
MVA Based Selection for B → KS (π+ π−) l+ l− — Ariane Frey1, Thibaud Humair1,2, •Dennis Rodermund1, and Benjamin Schwenker1 — 1II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany — 2Deutsches Elektronen Synchrotron (DESY), 22607 Hamburg, Germany
Decays of B mesons mediated by a b → s l l transition are of high interest to search for physics beyond the Standard Model. The CP-violation content of such transitions has however been explored very little to date. The B → Ks l l transitions allow for measuring the CP-violation in the interference with mixing. This decay has a very small branching fraction and hence a good selection is needed in order to isolate signal events.
This talk focuses on the selection based on a BDT. The BDT takes event- and particle based variables like Fox-Wolfram moments or angular distributions as input and tries to predict if the considered event is either signal or background. A sophisticated BDT model thus provides a way to separate signal and background processes based on the BDT output, making further analyses possible.
Keywords: B Physics; Machine Learning; Selection; MVA; BDT