3 papers
hep-ex2023
DeepTreeGAN: Fast Generation of High Dimensional Point Clouds
Moritz Alfons Wilhelm Scham, Dirk Krücker, Benno Käch +1
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generati…
hep-ex2022
JetFlow: Generating Jets with Conditioned and Mass Constrained Normalising Flows
Benno Käch, Dirk Krücker, Isabell Melzer-Pellmann +3
Fast data generation based on Machine Learning has become a major research topic in particle physics. This is mainly because the Monte Carlo simulation approach is computationally…
hep-ex2022
Point Cloud Generation using Transformer Encoders and Normalising Flows
Benno Käch, Dirk Krücker, Isabell Melzer-Pellmann
Data generation based on Machine Learning has become a major research topic in particle physics. This is due to the current Monte Carlo simulation approach being computationally ch…