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dc.contributor.author
Butter, Anja
dc.contributor.author
Kasieczka, Gregor
dc.contributor.author
Plehn, Tilman
dc.contributor.author
Russell, Michael
dc.date.accessioned
2020-05-18T08:56:38Z
dc.date.available
2020-05-18T08:44:48Z
dc.date.available
2020-05-18T08:46:06Z
dc.date.available
2020-05-18T08:56:38Z
dc.date.issued
2018
dc.identifier.issn
2542-4653
dc.identifier.other
10.21468/scipostphys.5.3.028
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/415419
dc.identifier.doi
10.3929/ethz-b-000415419
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Stichting SciPost
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Deep-learned Top Tagging with a Lorentz Layer
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-09-26
ethz.journal.title
SciPost Physics
ethz.journal.volume
5
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
SciPost Phys.
ethz.pages.start
028
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02010 - Dep. Physik / Dep. of Physics::02532 - Institut für Teilchen- und Astrophysik / Inst. Particle Physics and Astrophysics::03904 - Wallny, Rainer / Wallny, Rainer
en_US
ethz.date.deposited
2020-05-18T08:44:58Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-05-18T08:56:47Z
ethz.rosetta.lastUpdated
2021-02-15T11:03:10Z
ethz.rosetta.versionExported
true
ethz.COinS
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