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Semi-visible jets, energy-based models, and self-supervision

We present DarkCLR, a novel framework for detecting semi-visible jets at the LHC. DarkCLR uses a self-supervised contrastive-learning approach to create observables that are approximately invariant under relevant transformations. We use background-enhanced data to create a sensitive representation a...

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Hauptverfasser: Favaro, Luigi (VerfasserIn) , Krämer, Michael (VerfasserIn) , Modak, Tanmoy (VerfasserIn) , Plehn, Tilman (VerfasserIn) , Rüschkamp, Jan (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 3 February 2025
In: SciPost physics
Year: 2025, Jahrgang: 18, Heft: 2, Pages: 1-17
ISSN:2542-4653
DOI:10.21468/SciPostPhys.18.2.042
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21468/SciPostPhys.18.2.042
Verlag, lizenzpflichtig, Volltext: https://scipost.org/10.21468/SciPostPhys.18.2.042
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Verfasserangaben:Luigi Favaro, Michael Krämer, Tanmoy Modak, Tilman Plehn and Jan Rüschkamp

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