Data quality monitoring framework for the ATLAS experiment: Performance achieved with colliding beams at the LHC

Abstract

This first year of data taking has been of great interest, not only for the physics outcome, but also for operating the system under the environment it was designed for. The online data quality monitoring framework (DQMF) is a highly scalable distributed framework which is used to assess the operational conditions of the detector and the quality of the data. DQMF provides quick feedback to the user about the functioning and performance of the sub-detectors by performing over 75,000 advanced data quality checks, with rates varying depending on histogram update frequency. The DQM display (DQMD) is the visualisation tool with which histograms and their data quality assessments can be accessed. It allows for great flexibility for displaying histograms, their reference when applicable, configurations used for the automatics checks, data quality flags and much more. The DQM configuration is stored in a database that can be easily created and edited with the DQM Configurator tool (DQMC). This paper is describing the design and implementation of the DQMF and its display as well as the data quality performance achieved during this first year of data taking.