New angles on fast calorimeter shower simulation

New angles on fast calorimeter shower simulation

The demands placed on computational resources by the simulation requirements of high energy physics experiments motivate the development of novel simulation tools. Machine learning based generative models offer a solution that is both fast and accurate. In this work we extend the Bounded Information...

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Bibliographic Details
Main Authors: Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger, Peter McKeown, Lennart Rustige
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
simulations
calorimeter
generative models
reconstruction
deep learning
particle physics
Online Access:https://doi.org/10.1088/2632-2153/acefa9

Internet

https://doi.org/10.1088/2632-2153/acefa9

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