Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1434-6052
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Optimising longitudinal and lateral calorimeter granularity for software compensation in hadronic showers using deep neural networks ; volume:82 ; number:1 ; day:29 ; month:1 ; year:2022 ; pages:1-9 ; date:1.2022
The European physical journal / C. C, Particles and fields ; 82, Heft 1 (29.1.2022), 1-9, 1.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1140/epjc/s10052-022-10031-7
- URN
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urn:nbn:de:101:1-2022052822230859783031
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:19 MESZ
Datenpartner
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Beteiligte
- Neubüser, Coralie
- Kieseler, Jan
- Lujan, Paul
- SpringerLink (Online service)
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