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Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector
CMS has recently upgraded the L1 muon trigger. The Overlap Muon Track Finder (OMTF) is using data from three types of muon detectors in barrel-endcap transition region to find muon tracks and estimate their transverse momentum. The goal is to decrease rate of events produced by OMTF and maintain high...
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2287081 |
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author | Pijanowski, Karol Andrzej |
author_facet | Pijanowski, Karol Andrzej |
author_sort | Pijanowski, Karol Andrzej |
collection | CERN |
description | CMS has recently upgraded the L1 muon trigger. The Overlap Muon Track Finder (OMTF) is using data from three types of muon detectors in barrel-endcap transition region to find muon tracks and estimate their transverse momentum. The goal is to decrease rate of events produced by OMTF and maintain high efficiency in detection of muons with high transverse momentum. In order to achieve this the change in OMTF algorithm has been proposed. Until now algorithm was based on a similar principle as the "naive Bayesian classifier" and it was not taking into account the correlation between the detector hits, but only probability of matching them to a given transverse momentum hypothesis. The addition of the correlation has decreased the rate of events around the threshold, but it has also affected efficiency above the threshold. In addition it has not affected the rate produced by low transverse momentum muons, which gives the highest contribution to overall rate. |
id | cern-2287081 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22870812019-09-30T06:29:59Zhttp://cds.cern.ch/record/2287081engPijanowski, Karol AndrzejOptimization of algorithms of Level 1 Trigger in Overlap region in CMS detectorPhysics in GeneralCMS has recently upgraded the L1 muon trigger. The Overlap Muon Track Finder (OMTF) is using data from three types of muon detectors in barrel-endcap transition region to find muon tracks and estimate their transverse momentum. The goal is to decrease rate of events produced by OMTF and maintain high efficiency in detection of muons with high transverse momentum. In order to achieve this the change in OMTF algorithm has been proposed. Until now algorithm was based on a similar principle as the "naive Bayesian classifier" and it was not taking into account the correlation between the detector hits, but only probability of matching them to a given transverse momentum hypothesis. The addition of the correlation has decreased the rate of events around the threshold, but it has also affected efficiency above the threshold. In addition it has not affected the rate produced by low transverse momentum muons, which gives the highest contribution to overall rate.CERN-STUDENTS-Note-2017-233oai:cds.cern.ch:22870812017-10-04 |
spellingShingle | Physics in General Pijanowski, Karol Andrzej Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title | Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title_full | Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title_fullStr | Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title_full_unstemmed | Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title_short | Optimization of algorithms of Level 1 Trigger in Overlap region in CMS detector |
title_sort | optimization of algorithms of level 1 trigger in overlap region in cms detector |
topic | Physics in General |
url | http://cds.cern.ch/record/2287081 |
work_keys_str_mv | AT pijanowskikarolandrzej optimizationofalgorithmsoflevel1triggerinoverlapregionincmsdetector |