| Published Articles | |
| Title | The Data Quality Monitoring software for the CMS experiment at the LHC: past, present and future |
| Author(s) | Azzolini, Virginia (MIT) ; van Besien, Broen (CERN) ; Bugelskis, Dmitrijus (Vilnius U. (main)) ; Hreus, Tomas (U. Zurich (main)) ; Maeshima, Kaori (Fermilab) ; Fernandez Menendez, Javier (U. Oviedo (main)) ; Norkus, Antanas (Vilnius U. (main)) ; Patrick, James Fraser (Fermilab) ; Rovere, Marco (CERN) ; Schneider, Marcel Andre (CERN) |
| Publication | 2019 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 214 (2019) 02003 |
| In: | 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02003 |
| DOI | 10.1051/epjconf/201921402003 |
| Subject category | Detectors and Experimental Techniques ; Computing and Computers |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Abstract | 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. |
| Copyright/License | publication: © 2019-2025 The Authors (License: CC-BY-4.0) |
Corresponding record in: Inspire
Record created 2019-11-16, last modified 2022-08-10
