Identification of B-Quark Jets With the Cms Experiment

dc.contributor.author CMS Collaboration
dc.contributor.author Karapınar, Güler
dc.coverage.doi 10.1088/1748-0221/8/04/P04013
dc.date.accessioned 2017-04-21T12:05:50Z
dc.date.available 2017-04-21T12:05:50Z
dc.date.issued 2013
dc.description.abstract At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by CMS to select b-quark jets based on variables such as the impact parameters of charged-particle tracks, the properties of reconstructed decay vertices, and the presence or absence of a lepton, or combinations thereof. The performance of these algorithms has been measured using data from proton-proton collisions at the LHC and compared with expectations based on simulation. The data used in this study were recorded in 2011 at s = 7 TeV for a total integrated luminosity of 5.0 fb-1. The efficiency for tagging b-quark jets has been measured in events from multijet and t-quark pair production. CMS has achieved a b-jet tagging efficiency of 85% for a light-parton misidentification probability of 10% in multijet events. For analyses requiring higher purity, a misidentification probability of only 1.5% has been achieved, for a 70% b-jet tagging efficiency. © 2013 IOP Publishing Ltd and Sissa Medialab srl. en_US
dc.description.sponsorship The Scientific and Technical Research Council of Turkey, and Turkish Atomic Energy Authority en_US
dc.identifier.citation Chatrchyan, S, Khachatryan, V., Sirunyan, A.M., Tumasyan, A., Adam, W., Aguilo, E., Bergauer, T., ...CMS Collaboration (2013). Identification of b-quark jets with the CMS experiment. Journal of Instrumentation, 8(4). doi:10.1088/1748-0221/8/04/P04013 en_US
dc.identifier.doi 10.1088/1748-0221/8/04/P04013
dc.identifier.doi 10.1088/1748-0221/8/04/P04013 en_US
dc.identifier.issn 1748-0221
dc.identifier.scopus 2-s2.0-84877788842
dc.identifier.uri http://doi.org/10.1088/1748-0221/8/04/P04013
dc.identifier.uri https://hdl.handle.net/11147/5377
dc.language.iso en en_US
dc.publisher IOP Publishing Ltd. en_US
dc.relation.ispartof Journal of Instrumentation en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Elementary particles en_US
dc.subject Pattern recognition en_US
dc.subject Calibration and fitting methods en_US
dc.subject Tellurium compounds en_US
dc.subject Integrated luminosity en_US
dc.title Identification of B-Quark Jets With the Cms Experiment en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Karapınar, Güler
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gdc.description.department İzmir Institute of Technology. Mathematics en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
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gdc.description.volume 8 en_US
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gdc.oaire.keywords high energy collider; LHC; CMS; b tagging
gdc.oaire.keywords PARTICLE PHYSICS; LARGE HADRON COLLIDER; CMS
gdc.oaire.keywords High Energy Physics - Experiment
gdc.oaire.keywords High Energy Physics - Experiment (hep-ex)
gdc.oaire.keywords cluster finding
gdc.oaire.keywords Large detector-systems performance; Pattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors
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gdc.oaire.keywords Fisica delle particelle
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gdc.oaire.keywords Mathematical Physics
gdc.oaire.keywords info:eu-repo/classification/ddc/610
gdc.oaire.keywords Large detector-systems performance
gdc.oaire.keywords Performance of high energy physics detectors
gdc.oaire.keywords Pattern recognition, cluster finding, calibration and fitting methods
gdc.oaire.keywords CMS
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gdc.oaire.keywords Performance of High Energy
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gdc.oaire.keywords LHC; CMS; HEP
gdc.oaire.keywords PARTICLE PHYSICS
gdc.oaire.keywords Physics Detectors
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gdc.oaire.keywords Tellurium compounds
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gdc.oaire.keywords Calibration and fitting methods
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gdc.oaire.keywords LARGE HADRON COLLIDER
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gdc.oaire.keywords QC Physics / fizika
gdc.oaire.keywords Large detector-systems performance; Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physics
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