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Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows

Fuente: arXiv

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Bibliographic Details
Main Authors:	Buss, Thorsten, Gaede, Frank, Kasieczka, Gregor, Krause, Claudius, Shih, David
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Detectors Machine Learning High Energy Physics - Experiment High Energy Physics - Phenomenology Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
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