ATLAS RPC offline monitoring and data quality assessment

In this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as...

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Detalles Bibliográficos
Autores principales: Chiodini, G., Bianco, M., Gorini, E., Guida, A.
Lenguaje:eng
Publicado: 2008
Materias:
physics.ins-det
Acceso en línea:http://cds.cern.ch/record/1136252
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author Chiodini, G.
Bianco, M.
Gorini, E.
Guida, A.
author_facet Chiodini, G.
Bianco, M.
Gorini, E.
Guida, A.
author_sort Chiodini, G.
collection CERN
description In this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as: RPC off-line hits and standalone tracks. The tools and techniques presented are also extended to the forthcoming LHC p-p beam collisions.
id cern-1136252
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
record_format invenio
spelling cern-11362522023-03-15T19:11:27Zhttp://cds.cern.ch/record/1136252engChiodini, G.Bianco, M.Gorini, E.Guida, A.ATLAS RPC offline monitoring and data quality assessmentphysics.ins-detIn this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as: RPC off-line hits and standalone tracks. The tools and techniques presented are also extended to the forthcoming LHC p-p beam collisions.In this work several aspects of ATLAS RPC offline monitoring and data quality assessment are illustrated with cosmics data selected by RPC trigger. These correspond to trigger selection, front-end mapping, detection efficiency and occupancy, which are studied in terms of low level quantities such as: RPC off-line hits and standalone tracks. The tools and techniques presented are also extended to the forthcoming LHC p-p beam collisions.arXiv:0810.4362oai:cds.cern.ch:11362522008-10-27
spellingShingle physics.ins-det
Chiodini, G.
Bianco, M.
Gorini, E.
Guida, A.
ATLAS RPC offline monitoring and data quality assessment
title ATLAS RPC offline monitoring and data quality assessment
title_full ATLAS RPC offline monitoring and data quality assessment
title_fullStr ATLAS RPC offline monitoring and data quality assessment
title_full_unstemmed ATLAS RPC offline monitoring and data quality assessment
title_short ATLAS RPC offline monitoring and data quality assessment
title_sort atlas rpc offline monitoring and data quality assessment
topic physics.ins-det
url http://cds.cern.ch/record/1136252
work_keys_str_mv AT chiodinig atlasrpcofflinemonitoringanddataqualityassessment
AT biancom atlasrpcofflinemonitoringanddataqualityassessment
AT gorinie atlasrpcofflinemonitoringanddataqualityassessment
AT guidaa atlasrpcofflinemonitoringanddataqualityassessment

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