T 79: Data Analysis, Information Technology and Artificial Intelligence 4
Wednesday, March 23, 2022, 16:15–18:30, T-H38
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16:15 |
T 79.1 |
KS0 tracking efficiency studies at Belle II — •Elisabetta Prencipe, Oleksandr Skorenok, and Jens Soeren Lange
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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
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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
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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
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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
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17:30 |
T 79.6 |
Implementing a graph-based approach for semi-inclusive tagging in Belle II — Florian Bernlochner, •Axel Heimeroth, William Sutcliffe, and Ilias Tsaklidis
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17:45 |
T 79.7 |
Performance portability for the Physics Object Reconstruction Software of the CMS Experiment — •Wahid Redjeb
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18:00 |
T 79.8 |
Designing VQE ansatz circuits for track reconstruction with Quantum Computers at LUXE — Arianna 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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18:15 |
T 79.9 |
Benchmarking Variational Quantum Algorithms for track reconstruction at LUXE — Arianna 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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