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Dortmund 2021 – scientific programme

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T: Fachverband Teilchenphysik

T 21: Data analysis, Information technology I

Monday, March 15, 2021, 16:00–18:15, Tu

16:00 T 21.1 Anomaly searches for new physics based on generative classifiers — •Sven Bollweg and Gregor Kasieczka
16:15 T 21.2 Searching for new physics with anomaly detection — •Manuel Sommerhalder, Tobias Lösche, Gregor Kasieczka, David Shih, and Anna Hallin
16:30 T 21.3 Utilization of GPUs in the training of neural networksGünter Quast, Roger Wolf, Janek Bechtel, Sebastian Brommer, Rene Caspart, Ralf Schmieder, Felix Heyen, Gessi Risto, Andrew Issac, and •Tim Voigtländer
16:45 T 21.4 Improved energy resolution via super-resolutionJohannes Erdmann, Florian Mentzel, Olaf Nackenhorst, and •Aaron van der Graaf
17:00 T 21.5 Decoding γ-showers: Physics in the Latent Space of a BIB-AE Generative Network — •Erik Buhmann
17:15 T 21.6 Hadronic Shower Separation in Five Dimensions using Machine Learning Methods — •Jack Rolph, Gregor Kasieczka, and Erika Garutti
17:30 T 21.7 Applications of Graph Neural Networks in Liquid Scintillator Neutrino Detectors — •Alexandros Tsagkarakis, Markus Bachlechner, Thilo Birkenfeld, Philipp Soldin, Achim Stahl, and Christopher Wiebusch
17:45 T 21.8 Online Event Selection using GPUs for the Mu3e experiment — •Valentin Henkys for the Mu3e collaboration
18:00 T 21.9 Muon Track Reconstruction in Liquid Scintillators with Graph Neural Networks — •Rosmarie Wirth
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