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Automated data processing enhances data quality monitoring in the BM@N experiment, suggesting efficient operations.
In 2025, the 9th data-taking run is scheduled for the BM@N experiment. BM@N data processing has been carried out using a geographically distributed heterogeneous infrastructure based on the DIRAC platform. For the future—9th run, an automated task launch methodology has been developed. Simulation of automated data processing was performed to analyze the workload and data flow. Automating the processing pipeline enables rapid feedback on the experimental data quality, allowing for timely Data Quality monitoring and issue resolution.
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Gertsenberger et al. (2026) studied this question.
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