TEACHING AN OLD ACCELERATOR NEW TRICKS

Conference · Sun Jan 01 04:00:00 EST 2023

DOI:https://doi.org/10.18429/JACoW-ICALEPCS2023-THPDP082· OSTI ID:2350805

Novak, D.; Bunnell, K.; Dickerson, C.; Santiago-Gonzalez, D.; Stanton, D.

The Argonne Tandem Linac Accelerator System (ATLAS) has been a National User Facility since 1985. In that time, many of the systems that help operators retrieve, modify, and store beamline parameters have not kept pace with the advancement of technology. Development of a new method of storing and retrieving beamline parameters resulted in the testing and installation of a time-series database as a potential replacement for the traditional relational database. InfluxDB was selected due to its self-hosted Open-Source version availability as well as the simplicity of installation and setup. A program was written to periodically gather all accelerator parameters in the control system and store them in the time-series database. This resulted in over 13,000 distinct data points, captured at 5-minute intervals. A second test captured 35 channels on a 1-minute cadence. Graphing of the captured data is being done on Grafana, an Open-Source version is available that co-exists well with InfluxDB as the back-end. Grafana made visualizing the data simple and flexible. The testing has allowed for the use of modern graphing tools to generate new insights into operating the accelerator, as well as opened the door to building large data sets suitable for Artificial Intelligence and Machine Learning applications.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Science - Office of Nuclear Physics
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 2350805
• Country of Publication: United States
• Language: English