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Karlsruhe 2024 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 67: Data, AI, Computing 5 (normalising flows)

Mittwoch, 6. März 2024, 16:00–17:45, Geb. 30.33: MTI

16:00 T 67.1 Applications of Normalizing Flows in High-Energy Particle Physics — •Lars Sowa, Roger Wolf, Markus Klute, and Günter Quast
16:15 T 67.2 Parameter reconstruction for gravitational wave signals at the Einstein Telescope using conditional normalizing flowsJohannes Erdmann and •Tobias Reike
16:30 T 67.3 Normalizing Flows to Infer Ultra-High-Energy Cosmic-Ray Source Properties from Surface Detector Measurements at the Pierre Auger Observatory — •Frederik Krieger, Teresa Bister, Martin Erdmann, and Josina Schulte
16:45 T 67.4 Using neural networks to calculate bounce actions — •Fabio Campello, Georg Weiglein, and Thomas Biekötter
17:00 T 67.5 Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows — •Thorsten Buss
17:15 T 67.6 Improving MCMC sampling efficiency with normalizing flowsMichael Dudkowiak, Cornelius Grunwald, Oliver Schulz, and •Willy Weber
17:30 T 67.7 Conditional normalizing flows for correcting simulations — •Caio Cesar Daumann, Mauro Donega, Johannes Erdmann, Massimiliano Galli, Jan Lukas Späh, and Davide Valsecchi
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