Muon Identification in CMS
We present and discuss the design, implementation, and performance of a muon identification software package in ORCA. The identification algorithm accepts reconstructed tracks from the inner tracker and attempts to quantify the muon compatibility for each track using associated calorimeter and muon...
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ftcern:oai:cds.cern.ch:927392 2023-05-15T17:53:38+02:00 Muon Identification in CMS James, Eric Maravin, Yurii Mulders, Martijn Neumeister, Norbert 2006-01-24 http://cds.cern.ch/record/927392 eng eng http://cds.cern.ch/record/927392 CMS-NOTE-2006-010 oai:cds.cern.ch:927392 Detectors and Experimental Techniques 2006 ftcern 2018-07-28T08:05:11Z We present and discuss the design, implementation, and performance of a muon identification software package in ORCA. The identification algorithm accepts reconstructed tracks from the inner tracker and attempts to quantify the muon compatibility for each track using associated calorimeter and muon detector hit information. The software was designed for use in offline analysis and tries to identify muons with high efficiency while maintaining a low probability of misidentification. The muon identification algorithm is complimentary by design to the standard global muon reconstruction algorithm that is seeded from stand-alone track reconstruction in the muon detectors. The performance of the algorithm based on its application to several simulated event samples is also presented. Other/Unknown Material Orca CERN Document Server (CDS) |
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Open Polar |
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CERN Document Server (CDS) |
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ftcern |
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English |
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Detectors and Experimental Techniques |
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Detectors and Experimental Techniques James, Eric Maravin, Yurii Mulders, Martijn Neumeister, Norbert Muon Identification in CMS |
topic_facet |
Detectors and Experimental Techniques |
description |
We present and discuss the design, implementation, and performance of a muon identification software package in ORCA. The identification algorithm accepts reconstructed tracks from the inner tracker and attempts to quantify the muon compatibility for each track using associated calorimeter and muon detector hit information. The software was designed for use in offline analysis and tries to identify muons with high efficiency while maintaining a low probability of misidentification. The muon identification algorithm is complimentary by design to the standard global muon reconstruction algorithm that is seeded from stand-alone track reconstruction in the muon detectors. The performance of the algorithm based on its application to several simulated event samples is also presented. |
author |
James, Eric Maravin, Yurii Mulders, Martijn Neumeister, Norbert |
author_facet |
James, Eric Maravin, Yurii Mulders, Martijn Neumeister, Norbert |
author_sort |
James, Eric |
title |
Muon Identification in CMS |
title_short |
Muon Identification in CMS |
title_full |
Muon Identification in CMS |
title_fullStr |
Muon Identification in CMS |
title_full_unstemmed |
Muon Identification in CMS |
title_sort |
muon identification in cms |
publishDate |
2006 |
url |
http://cds.cern.ch/record/927392 |
genre |
Orca |
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Orca |
op_relation |
http://cds.cern.ch/record/927392 CMS-NOTE-2006-010 oai:cds.cern.ch:927392 |
_version_ |
1766161342379589632 |