Deep Learning for the classification of quenched jets

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Standort: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1029-8479

Umfang: Online-Ressource

Sprache: Englisch

Anmerkungen: online resource.

Erschienen in: Deep Learning for the classification of quenched jets ; volume:2021 ; number:11 ; day:29 ; month:11 ; year:2021 ; pages:1-32 ; date:11.2021
Journal of high energy physics ; 2021, Heft 11 (29.11.2021), 1-32, 11.2021

Urheber: Apolinário, L.
Castro, N. F.
Romão, M. Crispim
Milhano, J. G.
Pedro, R.
Peres, F. C. R.

Beteiligte Personen und Organisationen: SpringerLink (Online service)

DOI: 10.1007/JHEP11(2021)219

URN: urn:nbn:de:101:1-2022020620103565052335

Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Letzte Aktualisierung: 15.08.0022, 06:21 MEZ

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Beteiligte

Apolinário, L.
Castro, N. F.
Romão, M. Crispim
Milhano, J. G.
Pedro, R.
Peres, F. C. R.
SpringerLink (Online service)

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Deep Learning for the classification of quenched jets

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