Speaker
Scham, Moritz
(Deutsches Elektronen-Synchrotron (DESY))
Description
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 generation of large point clouds in a short time is required, while the complex dependencies between the particles must be correctly modeled. Particle showers are inherently tree-based processes, as each particle is produced by decays or detector interaction of a particle of the previous generation.
In this work, we present a novel GNN model that is able to generate such point clouds in a tree-based manner. We show that this model can reproduce complex distributions, and we evaluate its performance on the public JetNet Dataset.
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Primary authors
Scham, Moritz
(Deutsches Elektronen-Synchrotron (DESY))
Mr
Krücker, Dirk
(Deutsches Elektronen-Synchrotron (DESY))
