Atanas Batinkov, M. Rovere, L. Borrello, F. De Guio, D. Duggan, S. Di Guida
{"title":"The CMS Data Quality Monitoring Software: Experience and future improvements","authors":"Atanas Batinkov, M. Rovere, L. Borrello, F. De Guio, D. Duggan, S. Di Guida","doi":"10.1109/NSSMIC.2013.6829716","DOIUrl":null,"url":null,"abstract":"The Data Quality Monitoring Software proved to be a central tool in the Compact Muon Solenoid experiment. Its flexibility allowed its integration in several environments: online, for real-time detector monitoring; offline, for the final, fine-grained data certification. The usage of the Data Quality Monitoring software in the different environments and its integration in the Compact Muon Solenoid reconstruction software framework and in all production work-flows are presented. The main technical challenges and the adopted solutions to them will be also discussed with emphasis on functionality, longterm robustness and performance.","PeriodicalId":246351,"journal":{"name":"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2013.6829716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The Data Quality Monitoring Software proved to be a central tool in the Compact Muon Solenoid experiment. Its flexibility allowed its integration in several environments: online, for real-time detector monitoring; offline, for the final, fine-grained data certification. The usage of the Data Quality Monitoring software in the different environments and its integration in the Compact Muon Solenoid reconstruction software framework and in all production work-flows are presented. The main technical challenges and the adopted solutions to them will be also discussed with emphasis on functionality, longterm robustness and performance.
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