SMuK 2023 – wissenschaftliches Programm
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HK: Fachverband Physik der Hadronen und Kerne
HK 53: AI Topical Day – Computing II (joint session HK/AKPIK)
Donnerstag, 23. März 2023, 14:00–15:30, HSZ/0103
14:00 | HK 53.1 | Exploiting Differentiable Programming for the End-to-end Optimization of Detectors — The MODE Collaboration and •Anastasios Belias | |
14:15 | HK 53.2 | Klassifikation von Pulsdaten mit neuronalen Netzwerken auf einer FPGA Accelerator Card — •Robert Ufer, Bastian Auer, Helene Hoffmann, Oliver Knodel, Mani Lokamani und Stefan Müller | |
14:30 | HK 53.3 | Pattern recognition using machine learning for the mCBM mRICH detector — •Martin Beyer for the CBM collaboration | |
14:45 | HK 53.4 | Machine Learning Algorithms for Pattern Recognition with the PANDA Barrel DIRC — •Yannic Wolf, Roman Dzhygadlo, Klaus Peters, Georg Schepers, Carsten Schwarz, and Jochen Schwiening | |
15:00 | HK 53.5 | Optimization of the specific energy loss measurement for the upgraded ALICE TPC using machine learning — •Tuba Gündem for the ALICE Germany collaboration | |
15:15 | HK 53.6 | Deep Leaning Based PID with the HADES detector — •Waleed Esmail and James Ritman for the HADES collaboration | |