T 107: Data Analysis, Information Technology and Artificial Intelligence 5
Donnerstag, 24. März 2022, 16:15–18:15, T-H39
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16:15 |
T 107.1 |
Introducing novel order statistic tests based on spacings and their applications — •Lolian Shtembari
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16:30 |
T 107.2 |
Cosmic ray composition measurement with Graph Neural Networks in KM3NeT/ORCA — •Stefan Reck for the ANTARES-KM3NET-ERLANGEN collaboration
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16:45 |
T 107.3 |
Tau neutrino selection with Graph Neural Networks for KM3NeT/ORCA — •Lukas Hennig for the ANTARES-KM3NET-ERLANGEN collaboration
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17:00 |
T 107.4 |
The contribution has been withdrawn.
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17:15 |
T 107.5 |
Deep-Learning-Based Reconstruction of Cosmic-Ray Masses from Extensive Air Shower Measurements with AugerPrime — Martin Erdmann, •Jonas Glombitza, Berenika Idaszek, Niklas Langner, and Dominik Steinberg
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17:30 |
T 107.6 |
PID with Recurrent Neural Networks in the ATLAS Transition Radiation Tracker for Run 3 — •Lena Herrmann, Christian Grefe, Philip Bechtle, and Klaus Desch
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17:45 |
T 107.7 |
Usage of neural networks in photon identification in ATLAS — •Florian Kirfel
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18:00 |
T 107.8 |
A super-resolution GAN for photon identification at collider experiments — Johannes Erdmann, Florian Mentzel, Olaf Nackenhorst, and •Aaron van der Graaf
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