The Data Quality Monitoring Software for the CMS experiment at the LHC: past, present and future

The Data Quality Monitoring software is a central tool in the CMS experiment. It is used in the following key environments: (i) Online, for real-time detector monitoring; (ii) Offline, for the prompt-offline-feedback and final fine-grained data quality analysis and certification; (iii) Validation of...

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Bibliographic Details
Published in:EPJ Web of Conferences 2019-01, Vol.214, p.2003
Main Authors: Azzolini, Virginia, Broen van, Besien, Bugelskis, Dmitrijus, Hreus, Tomas, Maeshima, Kaori, Javier Fernandez, Menendez, Norkus, Antanas, James Fraser, Patrick, Rovere, Marco, Andre Schneider, Marcel
Format: Article
Language:English
Subjects:
Heavy ions
INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Large Hadron Collider
Luminosity
Monitoring
Particle collisions
Protons
Software
Solenoids
Upgrading
Workflow
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Summary:The Data Quality Monitoring software is a central tool in the CMS experiment. It is used in the following key environments: (i) Online, for real-time detector monitoring; (ii) Offline, for the prompt-offline-feedback and final fine-grained data quality analysis and certification; (iii) Validation of all the reconstruction software production releases; (iv) Validation in Monte Carlo productions. Though the basic structure of the Run1 DQM system remains the same for Run2, between the Run1 and Run2 periods, the DQM system underwent substantial upgrades in many areas, not only to adapt to the surrounding infrastructure changes, but also to provide improvements to meet the growing needs of the collaboration with an emphasis on more sophisticated methods for evaluating data quality. We need to cope with the higher-energy and -luminosity proton-proton collision data, as well as the data from various special runs, such as Heavy Ion runs. In this contribution, we will describe the current DQM software, structure and workflow in the different environments. We then discuss the performance and our experiences with the DQM system in Run2. The main technical challenges which we have encountered and the solutions adopted during Run2 will also be discussed, including efficient use of memory in multithreading environments. Finally, we present the prospect of a future DQM upgrade with emphasis on functionality and long-term robustness for LHC Run3.
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201921402003