Heidelberg 2022 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 53: Data Analysis, Information Technology and Artificial Intelligence 3

T 53.6: Vortrag

Dienstag, 22. März 2022, 17:30–17:45, T-H38

Deep Set Generation of Collider Events — •Erik Buhmann — Institut für Experimentalphysik, Universität Hamburg

With current and future high-energy collider experiments' vast data collecting capabilities comes an increasing demand for computationally efficient simulations. Generative machine learning models allow fast event generation, yet are largely constrained to fixed data and detector geometries.

We introduce a novel autoencoder setup for generation of permutation invariant point clouds with variable cardinality - a flexible data structure optimal for collider events. Our model is simple, lightweight and purely set based without exploiting additional graph structures. We show that our model scales well to large particle multiplicities and achieves good performance on various data sets.