Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10597
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dc.contributor.authorDemir, Durmuş Ali-
dc.contributor.authorCMS Collaboration-
dc.date.accessioned2021-01-24T18:45:20Z-
dc.date.available2021-01-24T18:45:20Z-
dc.date.issued2014-
dc.identifier.issn1748-0221-
dc.identifier.urihttps://doi.org/10.1088/1748-0221/9/10/P10009-
dc.identifier.urihttps://hdl.handle.net/11147/10597-
dc.description.abstractA description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For t (t) over bar events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of vertical bar eta vertical bar < 0.9 and 85% for 0.9 < vertical bar eta vertical bar < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p(T) = 100GeV emitted at vertical bar eta vertical bar < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10 m m and 30 mu m in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12 mu m in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung.en_US
dc.description.sponsorshipScience and Technology Facilities CouncilScience & Technology Facilities Council (STFC) [ST/I505572/1, CMS, ST/F007094/1, GRIDPP, ST/L00609X/1, ST/L00609X/1 GRIDPP, ST/K003844/1 GRIDPP, ST/I005912/1 GRIDPP, ST/L006340/1, ST/K003844/1, ST/K001256/1, ST/J004901/1, ST/J005665/1, ST/I005912/1] Funding Source: researchfish; Direct For Mathematical & Physical ScienNational Science Foundation (NSF)NSF - Directorate for Mathematical & Physical Sciences (MPS) [1205960, 1306953, 1314131, 1306951, 1120138, 1306040] Funding Source: National Science Foundation; Division Of PhysicsNational Science Foundation (NSF)NSF - Directorate for Mathematical & Physical Sciences (MPS) [0906479, 1151640, 1205960, 1120138, 1314131, 1306040] Funding Source: National Science Foundationen_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltd.en_US
dc.relation.ispartofJournal of Instrumentationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPattern recognitionen_US
dc.subjectLarge detector-systems performanceen_US
dc.subjectHigh energy physicsen_US
dc.titleDescription and performance of track and primary-vertex reconstruction with the CMS trackeren_US
dc.typeArticleen_US
dc.institutionauthorDemir, Durmuş Ali-
dc.departmentİzmir Institute of Technology. Physicsen_US
dc.identifier.volume9en_US
dc.identifier.wosWOS:000345858500052en_US
dc.identifier.scopus2-s2.0-84908341975en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1088/1748-0221/9/10/P10009-
dc.relation.doi10.1088/1748-0221/9/10/P10009en_US
dc.coverage.doi10.1088/1748-0221/9/10/P10009en_US
dc.identifier.wosqualityQ4-
dc.identifier.scopusqualityQ3-
dc.identifier.wosqualityttpTop10%en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.languageiso639-1en-
crisitem.author.dept04.05. Department of Pyhsics-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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