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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 Certification; Release-Validation, to constantly validate the f...

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Autor principal: Borrello, Laura
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1109/NSSMIC.2014.7431053
http://cds.cern.ch/record/2121269
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author Borrello, Laura
author_facet Borrello, Laura
author_sort Borrello, Laura
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 Certification; Release-Validation, to constantly validate the functionalities 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 dataquality, 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 improvementin 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 cern-21212692019-09-30T06:29:59Zdoi:10.1109/NSSMIC.2014.7431053http://cds.cern.ch/record/2121269engBorrello, LauraThe Data Quality Monitoring Software for the CMS experiment at the LHCDetectors and Experimental TechniquesThe 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 Certification; Release-Validation, to constantly validate the functionalities 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 dataquality, 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 improvementin 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.CMS-CR-2014-431oai:cds.cern.ch:21212692014-11-28
spellingShingle Detectors and Experimental Techniques
Borrello, Laura
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 Detectors and Experimental Techniques
url https://dx.doi.org/10.1109/NSSMIC.2014.7431053
http://cds.cern.ch/record/2121269
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