By Topic

The ALICE-LHC Online Data Quality Monitoring Framework: Present and Future

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

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.

Published in:

Nuclear Science, IEEE Transactions on  (Volume:55 ,  Issue: 1 )