DeepTreeGANv2: Iterative Pooling of Point Clouds

Moritz Alfons Wilhelm Scham; Dirk Krücker; Kerstin Borras

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arXiv · 2312.00042

DeepTreeGANv2: Iterative Pooling of Point Clouds

Moritz Alfons Wilhelm Scham·Dirk Krücker·Kerstin Borras

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Abstract

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 modelled. Particle showers are inherently tree-based processes, as each particle is produced by the decay or detector interaction of a particle of the previous generation. In this work, we present a significant extension to DeepTreeGAN, featuring a critic, that is able to aggregate such point clouds iteratively in a tree-based manner. We show that this model can reproduce complex distributions, and we evaluate its performance on the public JetNet 150 dataset.

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physics.data-an cs.LG hep-ex

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Moritz Alfons Wilhelm Scham, Dirk Krücker, Kerstin Borras. 2023-11-24. DeepTreeGANv2: Iterative Pooling of Point Clouds. https://arxiv.org/abs/2312.00042

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