T 5: Methods in Particle Physics I
Monday, March 16, 2026, 16:15–18:15, KH 00.020
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16:15 |
T 5.1 |
Machine Learning Methods for Charged-Particle Identification at Belle II — •Robert Mundzeck, Martin Bartl, Hans-Günther Moser, and Stefan Wallner
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16:30 |
T 5.2 |
Validation of the Graph Neural Network tracking at Belle II — •Jonas Lotz and Slavomira Stefkova
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16:45 |
T 5.3 |
Towards a Complete Tracking Concept for ILD@FCC-ee — Frank Gaede, Daniel Jeans, Jenny List, Thomas Madlener, and •Victor Schwan
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17:00 |
T 5.4 |
Tracking Performance Studies for the Mu3e Experiment — •Elija Engelhardt, Tamasi Kar, and André Schöning for the Mu3e collaboration
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17:15 |
T 5.5 |
Vertex Reconstruction Using the General Triplet Track Fit for the Mu3e Experiment — •Thomas Schwartze, André Schöning, Tamasi Kar, and David Fritz for the Mu3e collaboration
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17:30 |
T 5.6 |
Improving secondary vertexing for HL-LHC: Algorithm research using ACTS and ODD — •Diptaparna Biswas, Markus Cristinziani, Margret Keuper, Adrian Szymon Kosmala, Vadim Kostyukhin, and Paweł Swoboda
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17:45 |
T 5.7 |
Towards an implementation of ACTS for the Belle II experiment — •Marc-Philipp Thomas, Giacomo De Pietro, and Torben Ferber
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18:00 |
T 5.8 |
Track Reconstruction with the Pixel Detector for the Phase-2 Upgrade of the CMS High-Level Trigger — •Jan Gerrit Schulz, Alexander Schmidt, Marco Rovere, Elena Vernazza, Bruno Alves, Emanuele Coradin, Luca Ferragina, Marco Musich, and Felice Pantaleo
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