Göttingen 2025 –
wissenschaftliches Programm
T 54: Data, AI, Computing, Electronics V (Anomaly Detection, Event Selection)
Mittwoch, 2. April 2025, 16:15–18:15, VG 2.101
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16:15 |
T 54.1 |
Latest developments of CATHODE — •Tore von Schwartz, Gregor Kasieczka, Louis Moureaux, Chitrakshee Yede, and Manuel Sommerhalder
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16:30 |
T 54.2 |
Anomaly Detection Using Machine Learning at Belle II — •David Giesegh, Nikolai Krug, and Thomas Kuhr
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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
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17:00 |
T 54.4 |
Using End-to-End Optimized Summary Statistics in IceCube — •Oliver Janik and Christian Haack
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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
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17:30 |
T 54.6 |
Sterile Neutrino Search with Neural Networks at KATRIN — •Luca Fallböhmer for the KATRIN collaboration
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17:45 |
T 54.7 |
Enhancing the identification of HH → bbbb by Triplet Learning — •Bao Tai Le, Lars Linden, Otmar Biebel, Stephanie Götz, Celine Stauch, Valerio D’Amico, and Tim Rexrodt
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18:00 |
T 54.8 |
MVA Based Selection for B → KS (π+ π−) l+ l− — Ariane Frey, Thibaud Humair, •Dennis Rodermund, and Benjamin Schwenker
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