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Электронный каталог: Gertsenberger, K. - Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure
Gertsenberger, K. - Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure

Статья
Автор: Gertsenberger, K.
Физика элементарных частиц и атомного ядра: Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure
б.г.
ISBN отсутствует
Автор: Gertsenberger, K.
Физика элементарных частиц и атомного ядра: Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure
б.г.
ISBN отсутствует
Статья
Gertsenberger, K.
Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure / K.Gertsenberger, I.Pelevanyuk, I.Zhironkin // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 4. – P. 629. – URL: https://www1.jinr.ru/Pepan/v-57-4/Gertsenberger_ann.pdf.
In 2025, the 9th data-taking run was 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 Run 9, an automated task launch methodology has been developed. Simulation of automated data processing has been 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.
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
ОИЯИ = ОИЯИ (JINR)2026
Gertsenberger, K.
Automation of BM@N Run 9 Data Processing on a DIRAC Distributed Infrastructure / K.Gertsenberger, I.Pelevanyuk, I.Zhironkin // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 4. – P. 629. – URL: https://www1.jinr.ru/Pepan/v-57-4/Gertsenberger_ann.pdf.
In 2025, the 9th data-taking run was 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 Run 9, an automated task launch methodology has been developed. Simulation of automated data processing has been 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.
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
ОИЯИ = ОИЯИ (JINR)2026
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