RISE Germany Internship: Applying Deep Learning Methods to the Search for Astrophysical Tau Neutrinos

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DC Field	Value	Language
dc.contributor.author	Martin, William	-
dc.date.accessioned	2018-10-12T12:28:22Z	-
dc.date.available	2018-10-12T12:28:22Z	-
dc.date.issued	2017-11	-
dc.identifier.uri	http://hdl.handle.net/2003/37190	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-19186	-
dc.language.iso	en	de
dc.relation.ispartofseries	Technical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;3/2017	-
dc.subject.ddc	004	-
dc.title	RISE Germany Internship: Applying Deep Learning Methods to the Search for Astrophysical Tau Neutrinos	en
dc.type	Text	de
dc.type.publicationtype	report	de
dcterms.accessRights	open access	-
eldorado.secondarypublication	false	de
Appears in Collections:	Sonderforschungsbereich (SFB) 876

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