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Heidelberg 2022 – scientific programme

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T: Fachverband Teilchenphysik

T 79: Data Analysis, Information Technology and Artificial Intelligence 4

Wednesday, March 23, 2022, 16:15–18:30, T-H38

16:15 T 79.1 KS0 tracking efficiency studies at Belle II — •Elisabetta Prencipe, Oleksandr Skorenok, and Jens Soeren Lange
16:30 T 79.2 Clustering Energy Depositions in the Electromagnetic Calorimeter at Belle II using Graph Neural Networks — •Florian Wemmer, Pablo Goldenzweig, and Torben Ferber for the Belle II collaboration
16:45 T 79.3 Fast Particle Reconstruction in the Belle II Experiment with Graph Neural Networks — •Isabel Haide, Pablo Goldenzweig, and Torben Ferber for the Belle II collaboration
17:00 T 79.4 Identification of pions and muons with the Belle II calorimeter using convolutional neural network — •Abtin Narimani Charan and Torben Ferber for the Belle II collaboration
17:15 T 79.5 Anomaly detection in the searches for inelastic dark matter at Belle II — •Jonas Eppelt, Patrick Ecker, Pablo Goldenzweig, and Torben Ferber for the Belle II collaboration
17:30 T 79.6 Implementing a graph-based approach for semi-inclusive tagging in Belle IIFlorian Bernlochner, •Axel Heimeroth, William Sutcliffe, and Ilias Tsaklidis
17:45 T 79.7 Performance portability for the Physics Object Reconstruction Software of the CMS Experiment — •Wahid Redjeb
18:00 T 79.8 Designing VQE ansatz circuits for track reconstruction with Quantum Computers at LUXEArianna Crippa, Lena Funcke, Tobias Hartung, Beate Heinemann, Karl Jansen, Annabel Kropf, Stefan Kühn, Federico Meloni, •David Spataro, Cenk Tüysüz, and Yee Chinn Yap
18:15 T 79.9 Benchmarking Variational Quantum Algorithms for track reconstruction at LUXEArianna Crippa, Lena Funcke, Tobias Hartung, Beate Heinemann, Karl Jansen, •Annabel Kropf, Stefan Kühn, Federico Meloni, David Spataro, Cenk Tüysüz, and Yee Chinn Yap
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