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Muon identification and isolation efficiencies with 2017 and 2018 data

Muon identification and isolation efficiencies using 2017 and 2018 data of proton-proton collisions, a comparison with 2016 efficiencies and with simulation is also shown.

Detalles Bibliográficos
Autor principal: CMS Collaboration
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2629364
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author CMS Collaboration
author_facet CMS Collaboration
author_sort CMS Collaboration
collection CERN
description Muon identification and isolation efficiencies using 2017 and 2018 data of proton-proton collisions, a comparison with 2016 efficiencies and with simulation is also shown.
id cern-2629364
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26293642019-09-30T06:29:59Zhttp://cds.cern.ch/record/2629364engCMS CollaborationMuon identification and isolation efficiencies with 2017 and 2018 dataDetectors and Experimental TechniquesMuon identification and isolation efficiencies using 2017 and 2018 data of proton-proton collisions, a comparison with 2016 efficiencies and with simulation is also shown.CMS-DP-2018-042CERN-CMS-DP-2018-042oai:cds.cern.ch:26293642018-07-04
spellingShingle Detectors and Experimental Techniques
CMS Collaboration
Muon identification and isolation efficiencies with 2017 and 2018 data
title Muon identification and isolation efficiencies with 2017 and 2018 data
title_full Muon identification and isolation efficiencies with 2017 and 2018 data
title_fullStr Muon identification and isolation efficiencies with 2017 and 2018 data
title_full_unstemmed Muon identification and isolation efficiencies with 2017 and 2018 data
title_short Muon identification and isolation efficiencies with 2017 and 2018 data
title_sort muon identification and isolation efficiencies with 2017 and 2018 data
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2629364
work_keys_str_mv AT cmscollaboration muonidentificationandisolationefficiencieswith2017and2018data