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  4. Performance of CMS muon reconstruction in pp collision events at √s = 7 TeV

Performance of CMS muon reconstruction in pp collision events at √s = 7 TeV

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sword-2019-05-21T12:23:59.original.xml (130 B)
Original SWORD entry document
Author(s)
Alver, Burak Han
•
Bauer, Gerry P
•
Bendavid, Joshua L.
•
Busza, Wit
•
Butz, Erik M.
•
Cali, Ivan Amos
•
Chan, M.
•
Dutta, Valentina
•
Gomez-Ceballos, Guillelmo
•
Goncharov, Maxim
more
Date Issued
October 2012
Journal
Journal of Instrumentation
Publisher
IOP Publishing
Citation
Chatrchyan, S. et al. "Performance of CMS muon reconstruction in pp collision events at √s = 7 TeV." Journal of Instrumentation 7 (June 2012): P10002 © 2012 IOP Publishing Ltd
Version
Final published version
Abstract
The performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 pb⁻¹ of data collected in pp collisions at √s = 7 TeV at the LHC in 2010. A few benchmark sets of selection criteria covering a wide range of physics analysis needs have been examined. For all considered selections, the efficiency to reconstruct and identify a muon with a transverse momentum pT larger than a few GeV/c is above 95% over the whole region of pseudorapidity covered by the CMS muon system, < 2.4, while the probability to misidentify a hadron as a muon is well below 1%. The efficiency to trigger on single muons with pT above a few GeVc is higher than 90% over the full η range, and typically substantially better. The overall momentum scale is measured to a precision of 0.2% with muons from Z decays. The transverse momentum resolution varies from 1% to 6% depending on pseudorapidity for muons with pT below 100GeV/c and, using cosmic rays, it is shown to be better than 10% in the central region up to pT = 1 TeV/c. Observed distributions of all quantities are well reproduced by the Monte Carlo simulation.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
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Creative Commons Attribution 3.0 unported license
https://creativecommons.org/licenses/by/3.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/121772
DOI of Published Version
https://doi.org/10.1088/1748-0221/7/10/P10002
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