Speaker
Mr
Serguei Kolos
(University of California Irvine)
Description
Data Quality Monitoring (DQM) is an important and integral part of the data taking
and data reconstruction of HEP experiments. In an online environment, DQM
provides the shift crew with live information beyond basic monitoring. This is used to
overcome problems promptly and help avoid taking faulty data. During the off-line
reconstruction DQM is used for more complex analysis of physics quantities and its
results are used to assess the quality of the reconstructed data.
The Data Quality Monitoring software Framework (DQMF) which has been provided
for the ATLAS experiment performs analysis of monitoring data through user defined
algorithms and relays the summary of the analysis results to the configurable Data
Quality output stream. From this stream the results can be stored to a database,
displayed on a GUI, or used to make some other relevant actions with respect to the
operational environment ie sending alarms, stopping the run. This paper describes the
implementation of the DQMF and discusses experience from usage and performance
of the DQMF during ATLAS commissioning.
Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | ATLAS |
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Primary authors
Mrs
Alina Corso-Radu
(University of California Irvine)
Mrs
Haleh Hadavand
(Southern Methodist University)
Mr
Michael Hauschild
(CERN)
Prof.
Robert Kehoe
(Southern Methodist University)
Mr
Serguei Kolos
(University of California Irvine)