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Internal Note and Article
Report number	ATL-SOFT-PROC-2009-003
Title	ATLAS Offline Data Quality Monitoring
Author(s)	Adelman, J (Yale U.) ; Baak, M (CERN) ; Boelaert, N (Lund U.) ; D'Onofrio, M (Barcelona, IFAE) ; Frost, J A (Cambridge U.) ; Guyot, C (DSM, DAPNIA, Saclay) ; Hauschild, M (CERN) ; Hoecker, A (CERN) ; Leney, K J C (Liverpool U.) ; Lytken, E (Lund U.) ; Martinez-Perez, M (Barcelona, IFAE) ; Masik, J (Manchester U.) ; Nairz, A M (CERN) ; Onyisi, P U E (Chicago U., EFI) ; Roe, S (CERN) ; Schatzel, S (CERN) ; Schaetzel, S (CERN) ; Wilson, M G (CERN)
Publication	2010
Imprint	24 Jul 2009
Number of pages	6
In:	J. Phys.: Conf. Ser. 219 (2010) 042018
In:	17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.042018
DOI	10.1088/1742-6596/219/4/042018
Subject category	Detectors and Experimental Techniques ; Computing and Computers
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Abstract	The ATLAS experiment at the Large Hadron Collider reads out 100 Million electronic channels at a rate of 200 Hz. Before the data are shipped to storage and analysis centres across the world, they have to be checked to be free from irregularities which render them scientifically useless. Data quality offline monitoring provides prompt feedback from full first-pass event reconstruction at the Tier-0 computing centre and can unveil problems in the detector hardware and in the data processing chain. Detector information and reconstructed proton-proton collision event characteristics are distilled into a few key histograms and numbers which are automatically compared with a reference. The results of the comparisons are saved as status flags in a database and are published together with the histograms on a web server. They are inspected by a 24/7 shift crew who can notify on-call experts in case of problems and in extreme cases signal data taking abort.
Copyright/License	Preprint: (License: CC-BY-4.0)

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