| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01306 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701306 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701306
A data Quality-Assurance framework for online and offline applications for the CBM experiment
GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
* e-mail: s.zharko@gsi.de
Published online: 7 October 2025
A data quality assurance (QA) framework is being developed for the CBM experiment. It provides flexible tools for monitoring of reference quantity distributions for different detector subsystems and data reconstruction algorithms. This helps to identify software malfunctions and calibration status, prepare a setup for the data taking and prepare data for the production. A modular structure of the QA framework allows to keep independent QA units for different steps of the data reconstruction. Since the offline and the online scenarios of data reconstruction need to meet different requirements, the QA framework is implemented differently for those two regimes. In the offline scenario, the data QA software is based on the FairRoot framework and is used to track the effects on data in the continuous development of the reconstruction algorithms as well as to check the data quality in the production stage. The QA software for the online reconstruction scenario utilizes the standard and boost C++ libraries and provides real-time monitoring of detector and algorithm performance. This was successfully applied during data-taking campaigns of mini-CBM experiment in May 2024 and February 2025.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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