Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: James, Eric, Maravin, Yurii, Mulders, Martijn, Neumeister, Norbert
Lenguaje:eng
Publicado: 2006
Materias:
Acceso en línea:http://cds.cern.ch/record/927392
_version_ 1780909443545825280
author James, Eric
Maravin, Yurii
Mulders, Martijn
Neumeister, Norbert
author_facet James, Eric
Maravin, Yurii
Mulders, Martijn
Neumeister, Norbert
author_sort James, Eric
collection CERN
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.
id cern-927392
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2006
record_format invenio
spelling cern-9273922019-09-30T06:29:59Zhttp://cds.cern.ch/record/927392engJames, EricMaravin, YuriiMulders, MartijnNeumeister, NorbertMuon Identification in CMSDetectors and Experimental TechniquesWe 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.CMS-NOTE-2006-010oai:cds.cern.ch:9273922006-01-24
spellingShingle Detectors and Experimental Techniques
James, Eric
Maravin, Yurii
Mulders, Martijn
Neumeister, Norbert
Muon Identification in CMS
title Muon Identification in CMS
title_full Muon Identification in CMS
title_fullStr Muon Identification in CMS
title_full_unstemmed Muon Identification in CMS
title_short Muon Identification in CMS
title_sort muon identification in cms
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/927392
work_keys_str_mv AT jameseric muonidentificationincms
AT maravinyurii muonidentificationincms
AT muldersmartijn muonidentificationincms
AT neumeisternorbert muonidentificationincms