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How to GAN higher jet resolution

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QCD-jets at the LHC are described by simple physics principles. We show how super-resolution generative networks can learn the underlying structures and use them to improve the resolution of jet images. We test this approach on massless QCD-jets and on fat top-jets and find that the network reproduc...

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Main Authors: Baldi, Pierre (Author) , Blecher, Lukas (Author) , Butter, Anja (Author) , Collado, Julian (Author) , Howard, Jessica N. (Author) , Keilbach, Fabian (Author) , Plehn, Tilman (Author) , Kasieczka, Gregor (Author) , Whiteson, Daniel (Author)
Format: Article (Journal) Chapter/Article
Language:English
Published: 2020
In: Arxiv
Year: 2020, Pages: 1-25
Online Access:Verlag, lizenzpflichtig, Volltext: http://arxiv.org/abs/2012.11944
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Author Notes:Pierre Baldi, Lukas Blecher, Anja Butter, Julian Collado, Jessica N. Howard, Fabian Keilbach, Tilman Plehn, Gregor Kasieczka, and Daniel Whiteson
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How to GAN higher jet resolution by Baldi, Pierre (Author) , Blecher, Lukas (Author) , Butter, Anja (Author) , Collado, Julian (Author) , Howard, Jessica N. (Author) , Keilbach, Fabian (Author) , Plehn, Tilman (Author) , Kasieczka, Gregor (Author) , Whiteson, Daniel (Author) ,


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