Mainz 2022 –
wissenschaftliches Programm
HK 28: Computing I
Dienstag, 29. März 2022, 16:00–17:45, HK-H5
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16:00 |
HK 28.1 |
Gruppenbericht:
Track Finding with PANDA — •Anna Alicke, Tobias Stockmanns, and James Ritman for the PANDA collaboration
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16:30 |
HK 28.2 |
Machine Learning Approach for Track Finding Using Language Models — •Jakapat Kannika, James Ritman, and Tobias Stockmanns
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16:45 |
HK 28.3 |
Space-charge distortions in the ALICE TPC I: A data-driven approach to model space-charge distortion fluctuations — •Matthias Kleiner
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17:00 |
HK 28.4 |
Space-charge distortions in the ALICE TPC II: Data-driven machine learning algorithms for the space-charge distortion calibration — •Ernst Hellbär, Harald Appelshäuser, Marian Ivanov, Matthias Kleiner, Silvia Masciocchi, and Jens Wiechula for the ALICE collaboration
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17:15 |
HK 28.5 |
The mSTS as a pathfinder for the Detector Control System of the STS in the CBM experiment — •Marcel Bajdel for the CBM collaboration
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17:30 |
HK 28.6 |
Comparison of simulation frameworks for the PANDA FAIR phase-0 experiment at MAMI — •Alexander Greiner, Alaa Dbeyssi, David Rodriguez Pineiro, Dong Liu, Frank Maas, Julian Moik, Luigi Capozza, Oliver Noll, Peter-Bernd Otte, Sahra Wolff, and Samet Katilmis for the PANDA collaboration
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