2026-09-20T02:41:29Zhttps://elekpub.bib.uni-wuppertal.de/oai/

oai:elekpub.bib.uni-wuppertal.de:62494162022-03-03T11:01:09ZubwhsmigoaDoctoralThesis

vls/2603noah-balancer_mdapi1elekpub.bib.uni-wuppertal.devdStudy of the cosmic ray composition sensitivity of AugerPrimeprobing the prospects of the upgrade to the Pierre Auger Observatory with a deep learning approachMayotte, SonjaVerfasserautBergische Universität WuppertalGrad-verleihende InstitutiondggtextthesisTextHochschulschriftthesisdoctoralThesisgwXA-DEWuppertalJune 20212021single unitengelectronic resourceremote1 Online-Ressource (xvi, 133 Seiten) DiagrammeComputerOnline-Ressourcevorgelegt von M. Sc. Sonja MayotteBergische Universität Wuppertal, Dissertation, 2021Wuppertalurn:nbn:de:hbz:468-20210812-123827-310.25926/99h7-fc4499370959617506441HT021070377Study of the cosmic ray composition sensitivity of AugerPrimeMayotte, SonjaDruck-AusgabeHT021017463https://doi.org/10.25926/99h7-fc44http://nbn-resolving.de/urn/resolver.pl?urn=urn%3Anbn%3Ade%3Ahbz%3A468-20210812-123827-3http://elpub.bib.uni-wuppertal.de/edocs/dokumente/fbc/physik/diss2021/mayotte/Open AccessRS INC 1.0oaDoctoralThesispublicrda21090920231126080114.0HT021070377ger530 https://elekpub.bib.uni-wuppertal.de//domainresource/static/graphics/connectors/viewerLogo.gifWuppertal : Bergische Universität Wuppertalreserved https://ub-wuppertal.digibib.net/search/katalog/record/(DE-605)HT021070377 https://elekpub.bib.uni-wuppertal.de/id/6249416 https://elekpub.bib.uni-wuppertal.de/i3f/v20/6249416/manifest https://elekpub.bib.uni-wuppertal.de/proto_ftsearch/6249416