T 26: Data Analysis, Information Technology and Artificial Intelligence
Montag, 21. März 2022, 16:15–18:30, T-H39
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16:15 |
T 26.1 |
Investigation of robustness of b-Tagging algorithms for the CMS Experiment — Xavier Coubez, Nikolas Frediani, Spandan Mondal, Andrzej Novak, Alexander Schmidt, and •Annika Stein
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16:30 |
T 26.2 |
Performance Studies of the Conditional Attention Deep Sets b-Tagger for the ATLAS Experiment — •Alexander Froch, Manuel Guth, and Andrea Knue
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16:45 |
T 26.3 |
Charm tagger shape calibration for BDT-based signal-background discrimination — •Spandan Mondal, Xavier Coubez, Alena Dodonova, Ming-Yan Lee, Luca Mastrolorenzo, Andrzej Novak, Andrey Pozdnyakov, Alexander Schmidt, and Annika Stein
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17:00 |
T 26.4 |
Reduction of the Irreducible Background in the ttH(bb) Analysis at ATLAS, Using a Deep-Sets-Based bb-Tagger — •Joschka Birk, Alexander Froch, and Andrea Knue
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17:15 |
T 26.5 |
High-pT b-tagging using track classification in the ATLAS experiment — Beatrice Cervato, Markus Cristinziani, Gabriel Gomes, Vadim Kostyukhin, •Katharina Voß, and Wolfgang Walkowiak
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17:30 |
T 26.6 |
Exploration of neural network architectures for Flavour Tagging algorithms at the LHCb experiment — •Vukan Jevtic, Quentin Führing, Christoph Hasse, Niklas Nolte, and Claire Prouvé
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17:45 |
T 26.7 |
Regression of Missing Transverse Momentum (MET) with Graph Neural Networks — •Nikita Shadskiy, Matteo Cremonesi, Jost von den Driesch, Lindsey Gray, Ulrich Husemann, Yihui Lai, and Michael Waßmer
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18:00 |
T 26.8 |
Studies of machine learning inspired clustering algorithms for jets — Amrita Bhattacherjee, Debarghya Ghoshdastidar, •Siddha Hill, and Stefan Kluth
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18:15 |
T 26.9 |
Improvement of the Jet-Parton Assignment in ttH(bb) Events using Symmetry-Preserving Attention Networks — •Daniel Bahner, Andrea Knue, and Gregor Herten
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