Hydra: computer vision for data quality monitoring
Journal Article
·
· Journal of Instrumentation
- Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
Hydra, initially developed for Hall-D in 2019, is a system that utilizes computer vision to perform near real time data quality monitoring. Since then, it has been deployed across all experimental halls at Jefferson Lab, with the CLAS12 collaboration in Hall-B being the first outside of GlueX to fully utilize Hydra. The system comprises back end processes that manage the models, their inferences, and the data flow. Finally, the front-end components, accessible via web pages, allow detector experts and shift crews to view and interact with the system.
- Research Organization:
- Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Nuclear Physics (NP)
- Grant/Contract Number:
- AC05-06OR23177
- OSTI ID:
- 2530609
- Report Number(s):
- DOE/OR/23177--7635; JLAB-CST--24-4172
- Journal Information:
- Journal of Instrumentation, Journal Name: Journal of Instrumentation Journal Issue: 12 Vol. 19; ISSN 1748-0221
- Publisher:
- Institute of Physics (IOP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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