The Physics and Data Quality Monitoring (DQM) framework aims at providing a homogeneous monitoring environment across various applications related to data taking at the CMS experiment. It has been designed to be used during online data taking as well as during offline reconstruction. The goal of the online system is to monitor detector performance and identify problems very efficiently during data collection so that proper actions can be taken. On the other hand the reconstruction or calibration problems can be detected during offline processing using the same tool. The monitoring is performed with histograms, which are filled with information from raw and reconstructed data. All histograms can then be displayed both in the central CMS DQM graphical user interface (GUI), as well as in Tracker specific expert GUIs and socalled Tracker Maps. Applications are in place to further process the information from these basic histograms by summarizing them in overview plots, by evaluating them with automated statistical tests, and by extracting their main qualities and filling them into trend plots, which monitor the behaviour of the detector over time. We describe the CMS Data Quality Monitoring system of the Silicon Strip and Pixel Tracker of CMS, as well as first experience from the cosmic ray data and collision data taking periods.
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10 December 2012
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2009: (ICCMSE 2009)
29 September–4 October 2009
Rhodes, Greece
Research Article|
December 10 2012
Data quality monitoring of the CMS tracker Available to Purchase
Karolos Potamianos;
Karolos Potamianos
Purdue University, West Lafayette, Indiana,
USA
Search for other works by this author on:
CMS Collaboration
CMS Collaboration
Purdue University, West Lafayette, Indiana,
USA
Search for other works by this author on:
Karolos Potamianos
Purdue University, West Lafayette, Indiana,
USA
CMS Collaboration
Purdue University, West Lafayette, Indiana,
USA
AIP Conf. Proc. 1504, 1003–1004 (2012)
Citation
Karolos Potamianos, CMS Collaboration; Data quality monitoring of the CMS tracker. AIP Conf. Proc. 10 December 2012; 1504 (1): 1003–1004. https://doi.org/10.1063/1.4771866
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