Deep-learning based measurement of the mass composition of ultra-high energy cosmic rays using the surface detector of the Pierre Auger Observatory
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
RWTH Aachen University, Dissertation, 2021
- Schlagwort
-
Force and energy
Cosmic rays
Measurement
Learning
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2021
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2022-00759
- URN
-
urn:nbn:de:101:1-2022021802255813816418
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
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Beteiligte
- Glombitza, Jonas
- Erdmann, Martin
- Wiebusch, Christopher Henrik V.
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2021
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