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Göttingen 2025 – scientific programme

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T: Fachverband Teilchenphysik

T 54: Data, AI, Computing, Electronics V (Anomaly Detection, Event Selection)

Wednesday, April 2, 2025, 16:15–18:15, VG 2.101

16:15 T 54.1 Latest developments of CATHODE — •Tore von Schwartz, Gregor Kasieczka, Louis Moureaux, Chitrakshee Yede, and Manuel Sommerhalder
16:30 T 54.2 Anomaly Detection Using Machine Learning at Belle II — •David Giesegh, Nikolai Krug, and Thomas Kuhr
16:45 T 54.3 BGNet: A neural network for real-time background prediction and decomposition for Belle II — •Yannik Buch, Ariane Frey, Benjamin Schwenker, and Lukas Herzberg
17:00 T 54.4 Using End-to-End Optimized Summary Statistics in IceCube — •Oliver Janik and Christian Haack
17:15 T 54.5 Novel Event Selection Techniques to Discriminate between Proton Decay and Atmospheric Neutrino Backgrounds in JUNO — •Korbinian Stangler, Ulrike Fahrendholz, Lothar Oberauer, and Carsten Dittrich
17:30 T 54.6 Sterile Neutrino Search with Neural Networks at KATRIN — •Luca Fallböhmer for the KATRIN collaboration
17:45 T 54.7 Enhancing the identification of HHbbbb by Triplet Learning — •Bao Tai Le, Lars Linden, Otmar Biebel, Stephanie Götz, Celine Stauch, Valerio D’Amico, and Tim Rexrodt
18:00 T 54.8 MVA Based Selection for B → KS (π+ πl+ lAriane Frey, Thibaud Humair, •Dennis Rodermund, and Benjamin Schwenker
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