AI Enabled Data Quality Monitoring with Hydra

نویسندگان

چکیده

Data quality monitoring is critical to all experiments impacting the of any physics results. Traditionally, this done through an alarm system, which detects low level faults, leaving higher human crews. Artificial Intelligence beginning find its way into scientific applications, but comes with difficulties, relying on acquisition new skill sets, either education or acquisition, in data science. This paper will discuss development and deployment Hydra system production at Gluex. It show how "off-the-shelf" technologies can be rapidly developed, as well what sociological hurdles must overcome successfully deploy such a system. Early results from running also shared future outlook for Hydra.

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ژورنال

عنوان ژورنال: Epj Web of Conferences

سال: 2021

ISSN: ['2101-6275', '2100-014X']

DOI: https://doi.org/10.1051/epjconf/202125104010