Speakers
Dr
Elena Solfaroli
(INFN RomaI & Universita' di Roma La Sapienza)Dr
Monica Verducci
(INFN RomaI)
Description
ATLAS is a large multipurpose detector, presently in the final phase
of construction at LHC, the CERN Large Hadron Collider accelerator.
In ATLAS the muon detection is performed by a huge magnetic
spectrometer, built with the Monitored Drift Tube (MDT) technology.
It consists of more than 1,000 chambers and 350,000 drift tubes,
which have to be controlled to a spatial accuracy better than
10 micrometers and an efficiency close to 100%.
Therefore, the detector automated monitor is an essential aspect of the
operation of the spectrometer. The quality procedure collects
data from online and offline sources and from the "calibration stream"
at the calibration centres, situated in Ann Arbor (Michigan), MPI (Munich) and
INFN Rome. The assessment at the Calibration Centres is
performed using the DQHistogramAnalyzer utility of the Athena package.
This application checks the histograms in an automated way and, after a further
inspection with a human interface, reports results and
summaries.
In this study a complete description of the entire chain, from the
calibration stream up to the database storage is presented. Special
algorithms have been implemented in the DQHistogramAnalyzer for the
Monitored Drift Tube chambers. A detailed web display is provided for
easy data quality consultation. The analysis flag is stored inside an
Oracle Database using the COOL LCG library, through a C++ object-oriented
interface. This quality flag is compared with the
online and offline results, produced in a similar way, and the final decision is
stored in a DB using a standalone C++ tool. The
final DB, which uses the same COOL technology, is accessed by the
reconstruction and analysis programs.
Authors
Dr
Elena Solfaroli
(INFN RomaI & Universita' di Roma La Sapienza)
Dr
Monica Verducci
(INFN RomaI)