Speaker
Peter Onyisi
(University of Chicago)
Description
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.
The talk explains the technical realisations of the offline monitoring
chain.
| Presentation type (oral | poster) | oral |
|---|
Author
Michael Hauschild
(CERN)
Co-authors
Andreas Hoecker
(CERN)
Armin Nairz
(CERN)
Claude Guyot
(Saclay CEA)
Else Lytken
(CERN)
Jahred Adelman
(Yale University)
James Frost
(University of Cambridge)
Jiri Masik
(University of Manchester)
Katharine Leney
(University of Liverpool)
Mario Martinez-Perez
(IFAE Barcelona)
Max Baak
(CERN)
Michael Wilson
(CERN, now at SLAC)
Monica D'Onofrio
(IFAE Barcelona)
Nele Boelaert
(Lund University)
Peter Onyisi
(University of Chicago)
Sebastian Schaetzel
(CERN)
Shaun Roe
(CERN)
