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.secondarypublication | false | de |