CaloFlow for CaloChallenge Dataset 1
Krause, Claudius, Pang, Ian, Shih, David
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Aug-7-2023
- Country:
- Europe > Germany > Baden-Württemberg (0.14)
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- Research Report > New Finding (1.00)
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- Education (0.69)
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