The ATLAS Data Quality Defect Database System
T. Golling (4), H. S. Hayward (2), P. U. E. Onyisi (1), H. J. Stelzer, (3), P. Waller (2) ((1) University of Chicago, (2) University of Liverpool,, (3) Michigan State University, (4) Yale University)
TL;DR
The paper presents a new data quality defect database system for the ATLAS experiment, enabling precise recording and communication of detector status and data quality issues to improve physics analysis accuracy.
Contribution
It introduces a novel defect-based data quality system that enhances data monitoring and communication for large-scale collider experiments.
Findings
Improved data quality tracking through defect recording
Enhanced communication of detector status to analysis teams
Facilitated better data quality assessment for physics results
Abstract
The ATLAS experiment at the Large Hadron Collider has implemented a new system for recording information on detector status and data quality, and for transmitting this information to users performing physics analysis. This system revolves around the concept of "defects," which are well-defined, fine-grained, unambiguous occurrences affecting the quality of recorded data. The motivation, implementation, and operation of this system is described.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.