Abstract
Data Quality Monitoring (DQM) is mandatory in a high energy physics experiment like the Compact Muon Solenoid (CMS) at the CERN Large Hadron Collider (LHC). For the CMS Silicon Strip Tracker, the largest detector of this kind ever built, the DQM tasks translate into monitoring of 15148 silicon detector modules for a total of 9.3 million channels. An expert level Graphical User Interface has been developed to manage this highly granular information where the statistical characteristics of more than 350000 histograms are analyzed online during data-taking in order to raise warnings or alarms. In addition, specific quantities can be recalled on demand for problems investigation or online feedback on the data quality.
Highlights
The Silicon Strip Tracker (SST) [1] of the Compact Muon Solenoid (CMS) experiment is made of 15148 silicon strip detector modules which correspond to 9.3 million electronic channels for a total active area of 200 m2
In CMS, the Data Quality Monitoring (DQM) system is based on the CMS software framework CMSSW [3]
A number of analyses are performed, namely (a) creation of summary histograms by combining a group of logically connected histograms, (b) execution of Quality Tests (QTest) where statistical tests are performed to check if there is any deviation from the expected behaviour and the alarms are generated, (c) creation of synoptic views of the detector for better understanding of problem
Summary
The Silicon Strip Tracker (SST) [1] of the CMS experiment is made of 15148 silicon strip detector modules which correspond to 9.3 million electronic channels for a total active area of 200 m2. The Data Quality Monitoring (DQM) system for such a complex detector must ensure that any possible problem is identified efficiently at a very early stage of the data acquisition process so that actions can be taken promptly. The general purpose analysis framework, ROOT [4] is used for histogramming. DQM Producers (source) : The producers are pluggable modules where histograms are booked and filled by retrieving necessary information from CMS event data at various levels of reconstruction. A number of analyses are performed, namely (a) creation of summary histograms by combining a group of logically connected histograms, (b) execution of Quality Tests (QTest) where statistical tests are performed to check if there is any deviation from the expected behaviour and the alarms are generated, (c) creation of synoptic views of the detector for better understanding of problem.
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