Deep-learning based measurement of the mass composition of ultra-high energy cosmic rays using the surface detector of the Pierre Auger Observatory
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
RWTH Aachen University, Dissertation, 2021
- Keyword
-
Force and energy
Cosmic rays
Measurement
Learning
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
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2021
- Creator
- Contributor
- DOI
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10.18154/RWTH-2022-00759
- URN
-
urn:nbn:de:101:1-2022021802255813816418
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Glombitza, Jonas
- Erdmann, Martin
- Wiebusch, Christopher Henrik V.
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2021
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