| CMS Note | |
| Report number | CMS-CR-2023-139 |
| Title | First year of experience with the new operational monitoring tool for data taking in CMS during Run~3 |
| Author(s) | Amoiridis, Vasileios (CERN) ; Behrens, Ulf (Rice U.) ; Bocci, Andrea (CERN) ; Branson, James (UC, San Diego) ; Brummer, Philipp Maximilian (CERN) ; Cano, Eric (CERN) ; Cittolin, Sergio (UC, San Diego) ; Quintanilha, Joao (CERN) ; Darlea, Georgiana Lavinia (MIT) ; Deldicque, Christian (CERN) ; Dobson, Marc (CERN) ; Dvorak, Antonin (CERN) ; Gigi, Dominique (CERN) ; Glege, Frank (CERN) ; Gomez Ceballos, Guillelmo (MIT) ; Gorniak, Patrycja Ewa (CERN) ; Gutic, Neven (CERN) ; Hegeman, Jeroen Guido (CERN) ; Da Silva Gomes, Diego (MIT) ; James, Thomas Owen (CERN) ; Karimeh, Wassef (CERN) ; Kartalas, Miltiadis (CERN) ; Krawczyk, Rafal Dominik (Rice U.) ; Li, Wei (Rice U.) ; Long, Kenneth (Imperial Coll., London) ; Meijers, Franciscus (CERN) ; Meschi, Emilio (CERN) ; Morovic, Srecko (UC, San Diego) ; Orsini, Luciano (CERN) ; Paus, Christoph Maria Ernst (MIT) ; Petrucci, Andrea (UC, San Diego) ; Pieri, Marco (UC, San Diego) ; Rabady, Dinyar Sebastian (CERN) ; Racz, Attila (CERN) ; Rizopoulos, Theodoros (CERN) ; Sakulin, Hannes (CERN) ; Schwick, Christoph (CERN) ; Simelevicius, Dainius (Vilnius U.) ; Tzanis, Polyneikis (CERN) ; Vazquez Velez, Cristina (CERN) ; Zejdl, Petr (CERN) ; Zhang, Yousen (Rice U.) ; Zogatova, Dominika (CERN) |
| Publication | 2024 |
| Imprint | 30 Aug 2023 |
| Number of pages | 9 |
| Published in: | EPJ Web Conf. 295 (2024) 02013 |
| Presented at | 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023 |
| DOI | 10.1051/epjconf/202429502013 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | General ; DataAcquisition |
| Abstract | The Online Monitoring System (OMS) at the Compact Muon Solenoid experiment at CERN aggregates and integrates different sources of information into a central place and allows users to view, compare and correlate information. It displays real-time and historical information. The tool is heavily used by run coordinators, trigger experts and shift crews, to ensure the quality and efficiency of data taking. It provides aggregated information for many use cases including data certification. OMS is the successor of Web Based Monitoring (WBM), which was in use during Run 1 and Run 2 of the LHC. WBM started as a small tool and grew substantially over the years so that maintenance became challenging. OMS was developed from scratch following several design ideas: to strictly separate the presentation layer from the data aggregation layer, to use a well-defined standard for the communication between presentation layer and aggregation layer, and to employ widely used frameworks from outside the HEP community. A report on the experience from the operation of OMS for the first year of data taking of Run 3 in 2022 is presented. |
| Other source | Inspire |
Záznam vytvorený 2023-09-25, zmenený 2024-10-22
