Toward a foundation model for heavy-ion collision experiments based on point-cloud diffusion

Abstract

A novel point cloud diffusion model for relativistic heavy-ion collisions, capable of ultra-fast generation of complete, event-by-event collision output, is introduced. When trained on UrQMD cascade simulations, the model generates realistic collision event output containing 26 distinct hadron species, as a list of particle momentum vectors along with their particle ID. From solving inverse problems to accelerating model calculations or detector simulations, the model can be a promising general purpose tool for heavy-ion collisions beneficial to both theoretical studies and experimental applications.

Matches published version. 8 pages, 6 figures

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Cited by in corpus (2)

• Ultra fast, event-by-event heavy-ion simulations for next generation experiments
• CaloClouds3: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation