T 120: Data, AI, Computing 9 (generative models & simulation)
Friday, March 8, 2024, 09:00–10:30, Geb. 30.34: LTI
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09:00 |
T 120.1 |
Faster Simulations of Instrument Response Functions for Imaging Air Cherenkov Telescopes through Methods of Adaptive Sampling — •Tristan Gradetzke and Stefan Fröse
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09:15 |
T 120.2 |
Accelerating event generation in Sherpa with deep learning with matrix element weight surrogates — •Tim Herrmann, Timo Janßen, Steffen Schumann, and Frank Siegert
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09:30 |
T 120.3 |
Neural Networks for simulating Air-Shower Radio Emission — •Pranav Sampathkumar and Tim Huege
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09:45 |
T 120.4 |
Equivariant Point Cloud GAN for 4-dimensional Calorimeter Clouds. — •william korcari, erik buhmann, frank gaede, gregor kasieczka, anatolii korol, katja krüger, and peter mckeown
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10:00 |
T 120.5 |
Study of data-augmentation for simulated ATLAS data sets using machine learning — •Lukas Vicenik, Boris Flach, and Andre Sopczak
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10:15 |
T 120.6 |
Exploring tomorrow’s Monte-Carlo generators: MC Validation in ATLAS with PAVER — Frank Ellinghaus, Dominic Hirschbühl, •Johanna Wanda Kraus, Joshua Reidelstürz, Mustafa Schmidt, and Anna Vorländer
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