Göttingen 2025 –
wissenschaftliches Programm
T 76: Data, AI, Computing, Electronics VII (Generative AI, MC Generators)
Donnerstag, 3. April 2025, 16:15–18:45, VG 2.101
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16:15 |
T 76.1 |
Correcting the mis-modeling of photon energy deposits in the calorimeter using normalizing flows and flow matching — Caio Daumann, Johannes Erdmann, and •Lars Schiffeler
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16:30 |
T 76.2 |
Belle II PXD background generation with diffusion models — •Fabio Novissimo, Nikolai Hartmann, and Thomas Kuhr
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16:45 |
T 76.3 |
Study of deep generative models for the enhancement of simulated ATLAS datasets — Boris Flach, Andre Sopczak, and •Lukas Vicenik
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17:00 |
T 76.4 |
PointL2LFlows: How to generate Hadronic showers in ECal and HCal with CNFs — •Thorsten Buss
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17:15 |
T 76.5 |
Point-Clouds based Diffusion Model on Hadronic Showers — •Martina Mozzanica
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17:30 |
T 76.6 |
Generative transformers for learning point-cloud simulations — Joschka Birk, Frank Gaede, Anna Hallin, Gregor Kasieczka, Martina Mozzanica, and •Henning Rose
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17:45 |
T 76.7 |
AIDO - A Generalized Detector Optimization Framework using Surrogate Models — •Kylian Schmidt, Jan Kieseler, and Nikhil Krishna
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18:00 |
T 76.8 |
Navigating Phase Space for Event Generation: interfacing Sherpa with BAT.jl — Cornelius Grunwald, Timo Janssen, Kevin Kröninger, •Salvatore La Cagnina, and Steffen Schumann
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18:15 |
T 76.9 |
Geant4 Optimizations in ATLAS — •Mustafa Schmidt für die Mu2e Kollaboration
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18:30 |
T 76.10 |
Exploring tomorrow's Monte-Carlo generators: MC Validation in ATLAS with PAVER — •Johanna Kraus, Anna Bingham, Frank Ellinghaus, Dominic Hirschbühl, and Mustafa Schmidt
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