Title :
The ALICE-LHC Online Data Quality Monitoring Framework: Present and Future
Author :
Roukoutakis, Filimon ; Chapeland, Sylvain ; Çobanoglu, Özgür
Abstract :
ALICE is one of the experiments under installation at CERN Large Hadron Collider (LHC), dedicated to the study of heavy-ion collisions. The final ALICE data acquisition system has been installed and is being used for the testing and commissioning of detectors. Online data quality monitoring is an important part of the DAQ software framework, DATE. In this paper, we overview the implementation and usage experience of the interactive tool MOOD used for the commissioning period of ALICE, and we present the architecture of the automatic data quality monitoring framework, a distributed application aimed at producing, collecting, analyzing, visualizing, and storing monitoring data in a large experiment-wide scale.
Keywords :
computerised monitoring; data acquisition; high energy physics instrumentation computing; position sensitive particle detectors; ALICE; CERN large hadron collider; DAQ software system; LHC; data acquisition system; heavy-ion collisions; online data quality monitoring framework; Application software; Computer architecture; Computerized monitoring; Data acquisition; Data visualization; Detectors; Large Hadron Collider; Mood; Software quality; System testing; ALICE; AMORE; DAQ; DQM; MOOD; data acquisition; data quality; framework; monitoring; online;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2007.913942
