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Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 120: Data, AI, Computing 9 (generative models & simulation)

Friday, March 8, 2024, 09:00–10:30, Geb. 30.34: LTI

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
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
09:30 T 120.3 Neural Networks for simulating Air-Shower Radio Emission — •Pranav Sampathkumar and Tim Huege
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
10:00 T 120.5 Study of data-augmentation for simulated ATLAS data sets using machine learning — •Lukas Vicenik, Boris Flach, and Andre Sopczak
10:15 T 120.6 Exploring tomorrow’s Monte-Carlo generators: MC Validation in ATLAS with PAVERFrank Ellinghaus, Dominic Hirschbühl, •Johanna Wanda Kraus, Joshua Reidelstürz, Mustafa Schmidt, and Anna Vorländer
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