Normalizing flows for high-dimensional detector simulations

Normalizing flows for high-dimensional detector simulations

Whenever invertible generative networks are needed for LHC physics, normalizing flows show excellent performance. In this work, we investigate their performance for fast calorimeter shower simulations with increasing phase space dimension. We use fast and expressive coupling spline transformations a...

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Bibliographic Details
Main Author:	Florian Ernst, Luigi Favaro, Claudius Krause, Tilman Plehn, David Shih
Format:	Article
Language:	English
Published:	SciPost 2025-03-01
Series:	SciPost Physics
Online Access:	https://scipost.org/SciPostPhys.18.3.081
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