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dc.contributor.authorCMS collaboration
Adair, A.
Akgun, B.
Chen, Z.
Ecklund, K.M.
Geurts, F.J.M.
Guilbaud, M.
Li, W.
Michlin, B.
Northup, M.
Padley, B.P.
Redjimi, R.
Roberts, J.
Rorie, J.
Tu, Z.
Zabel, J.
dc.date.accessioned 2018-12-10T19:04:03Z
dc.date.available 2018-12-10T19:04:03Z
dc.date.issued 2016
dc.identifier.citation CMS collaboration, Adair, A., Akgun, B., et al.. "Reconstruction and identification of τ lepton decays to hadrons and ν τ at CMS." Journal of Instrumentation, 11, (2016) IOP Publishing: https://doi.org/10.1088/1748-0221/11/01/P01019.
dc.identifier.urihttps://hdl.handle.net/1911/103817
dc.description.abstract This paper describes the algorithms used by the CMS experiment to reconstruct and identify τ → hadrons + ντ decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 fb−1. The algorithms achieve an identification efficiency of 50–60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.
dc.language.iso eng
dc.publisher IOP Publishing
dc.rights Published under the terms of theᅠCreative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.title Reconstruction and identification of τ lepton decays to hadrons and ν τ at CMS
dc.type Journal article
dc.citation.journalTitle Journal of Instrumentation
dc.citation.volumeNumber 11
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1088/1748-0221/11/01/P01019
dc.type.publication publisher version
dc.citation.articleNumber P01019


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Published under the terms of theᅠCreative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.
Except where otherwise noted, this item's license is described as Published under the terms of theᅠCreative Commons Attribution 3.0 License by IOP Publishing Ltd and Sissa Medialab srl. Any further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation and DOI.