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The Data Quality Monitoring Software for the CMS experiment at the LHC

The Data Quality Monitoring (DQM) Software is a central tool in the CMS experiment. Its flexibility allows for integration in several key environments: Online, for real-time detector monitoring, Offline, for the final, fine-grained data analysis and certification, Release-Validation, to constantly v...

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Autor principal: Rovere, M
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/7/072039
http://cds.cern.ch/record/2159196
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author Rovere, M
author_facet Rovere, M
author_sort Rovere, M
collection CERN
description The Data Quality Monitoring (DQM) Software is a central tool in the CMS experiment. Its flexibility allows for integration in several key environments: Online, for real-time detector monitoring, Offline, for the final, fine-grained data analysis and certification, Release-Validation, to constantly validate the functionality and the performance of the reconstruction software, in Monte Carlo productions. Since the end of data taking at a center of mass energy of 8 TeV, the environment in which the DQM lives has undergone fundamental changes. In turn, the DQM system has made significant upgrades in many areas to respond to not only the changes in infrastructure, but also the growing specialized needs of the collaboration with an emphasis on more sophisticated methods for evaluating data quality, as well as advancing the DQM system to provide quality assessments of various Monte Carlo simulations versus data distributions, monitoring changes in physical effects due to modifications of algorithms or framework, and enabling regression modeling for long-term effects for the CMS detector. The central tool to deliver Data Quality information is an interactive web site for browsing data quality histograms (DQMGUI). In this contribution the usage of the DQM Software in the different environments and its integration in the CMS Reconstruction Software Framework (CMSSW) and in all production workflows are presented, with emphasis on recent developments and improvement in advance of the LHC restart at 13 TeV. The main technical challenges and the adopted solutions to them will be also discussed with emphasis on functionality and long-term robustness.
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spelling oai-inspirehep.net-14140172019-09-30T06:29:59Zdoi:10.1088/1742-6596/664/7/072039http://cds.cern.ch/record/2159196engRovere, MThe Data Quality Monitoring Software for the CMS experiment at the LHCComputing and ComputersThe Data Quality Monitoring (DQM) Software is a central tool in the CMS experiment. Its flexibility allows for integration in several key environments: Online, for real-time detector monitoring, Offline, for the final, fine-grained data analysis and certification, Release-Validation, to constantly validate the functionality and the performance of the reconstruction software, in Monte Carlo productions. Since the end of data taking at a center of mass energy of 8 TeV, the environment in which the DQM lives has undergone fundamental changes. In turn, the DQM system has made significant upgrades in many areas to respond to not only the changes in infrastructure, but also the growing specialized needs of the collaboration with an emphasis on more sophisticated methods for evaluating data quality, as well as advancing the DQM system to provide quality assessments of various Monte Carlo simulations versus data distributions, monitoring changes in physical effects due to modifications of algorithms or framework, and enabling regression modeling for long-term effects for the CMS detector. The central tool to deliver Data Quality information is an interactive web site for browsing data quality histograms (DQMGUI). In this contribution the usage of the DQM Software in the different environments and its integration in the CMS Reconstruction Software Framework (CMSSW) and in all production workflows are presented, with emphasis on recent developments and improvement in advance of the LHC restart at 13 TeV. The main technical challenges and the adopted solutions to them will be also discussed with emphasis on functionality and long-term robustness.oai:inspirehep.net:14140172015
spellingShingle Computing and Computers
Rovere, M
The Data Quality Monitoring Software for the CMS experiment at the LHC
title The Data Quality Monitoring Software for the CMS experiment at the LHC
title_full The Data Quality Monitoring Software for the CMS experiment at the LHC
title_fullStr The Data Quality Monitoring Software for the CMS experiment at the LHC
title_full_unstemmed The Data Quality Monitoring Software for the CMS experiment at the LHC
title_short The Data Quality Monitoring Software for the CMS experiment at the LHC
title_sort data quality monitoring software for the cms experiment at the lhc
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/664/7/072039
http://cds.cern.ch/record/2159196
work_keys_str_mv AT roverem thedataqualitymonitoringsoftwareforthecmsexperimentatthelhc
AT roverem dataqualitymonitoringsoftwareforthecmsexperimentatthelhc