OnlineDQM: Difference between revisions
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==Integrated DQM Module Description== | |||
==Mu2e Data Quality Manuel== | ==Mu2e Data Quality Manuel== | ||
Revision as of 15:26, 17 April 2025
Scope of Group
The group is responsible for the Data Quality Assessment of the Mu2e detector and for the developments of the Data Quality tools. The assessment is done online during the data taking and offline from physics data and calibration data.
Mu2e Data Quality Explained
Mu2e Data Quality Documentation
Below you can find a summary of the 2024 Workshop as well as the Mu2e DAQ documents provided by Andrew. J. Norman
Below is the talk given by Giani on DQM Organization:
Below is the talk given by Kamal during the 2024 Workshop:
Integrated DQM Module Description
Mu2e Data Quality Manuel
Tasks for Shifts Leaders
Tasks for Physicists
Reference histograms
Data Quality Flags Explained
- General Concept
- Calorimeter DQ Flags
- Tracking DQ Flags
- CRV DQ Flags
- STM DQ Flags
Web Interface for Shifters
Monitoring
Offline DQM
- For information about Offline DQM, please check the offline DQM wiki.
Good Run List
In Mu2e, Good Run Lists (GRLs) are a tool for identifying datasets suitable for physics analysis. A GRL is basically a compilation of "good runs", referring to luminosity blocks (LBs) where all data quality (DQ) flags are green, indicating optimal functioning of the detector parts. An LB, typically lasting about a minute, denotes a period with stable experimental conditions. Any alteration in data-recording configurations, such as changes in trigger prescale, prompts the initiation of a new LB.
GRLs in the Mu2e experiment are key to identifying top-quality data samples for physics analysis and they play a critical role in ensuring the integrity and precision of scientific outcomes. Details about the Good Run Lists in Mu2e can be found here