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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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Autor principal: Pijanowski, Karol Andrzej
Lenguaje:eng
Publicado: 2017
Materias:
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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2017
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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