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Title: CaloFlow for CaloChallenge Dataset 1
(Submitted on 25 Oct 2022 (v1), last revised 15 May 2024 (this version, v3))
Abstract: CaloFlow is a new and promising approach to fast calorimeter simulation based on normalizing flows. Applying CaloFlow to the photon and charged pion Geant4 showers of Dataset 1 of the Fast Calorimeter Simulation Challenge 2022, we show how it can produce high-fidelity samples with a sampling time that is several orders of magnitude faster than Geant4. We demonstrate the fidelity of the samples using calorimeter shower images, histograms of high-level features, and aggregate metrics such as a classifier trained to distinguish CaloFlow from Geant4 samples.
Submission history
From: Ian Pang [view email][v1] Tue, 25 Oct 2022 18:00:25 GMT (4897kb,D)
[v2] Mon, 7 Aug 2023 09:09:48 GMT (4156kb,D)
[v3] Wed, 15 May 2024 20:56:03 GMT (7825kb,D)
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