RISE Germany Internship: Applying Deep Learning Methods to the Search for Astrophysical Tau Neutrinos
| 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.dnb.deposit | true | de |
| eldorado.secondarypublication | false | de |
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