Feb. 15, 2024, 5:43 a.m. | Matthew R. Buckley, Claudius Krause, Ian Pang, David Shih

cs.LG updates on arXiv.org arxiv.org

arXiv:2305.11934v2 Announce Type: replace-cross
Abstract: Simulating particle detector response is the single most expensive step in the Large Hadron Collider computational pipeline. Recently it was shown that normalizing flows can accelerate this process while achieving unprecedented levels of accuracy, but scaling this approach up to higher resolutions relevant for future detector upgrades leads to prohibitive memory constraints. To overcome this problem, we introduce Inductive CaloFlow (iCaloFlow), a framework for fast detector simulation based on an inductive series of normalizing flows …

abstract accuracy arxiv computational cs.lg future hep-ex hep-ph inductive physics.data-an physics.ins-det pipeline process scaling simulation type

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