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AI for Experimental Controls at Jefferson Lab

Journal Article · · Journal of Instrumentation
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  1. Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
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We report the AI for Experimental Controls project is developing an AI system to control and calibrate detector systems located at Jefferson Laboratory. Currently, calibrations are performed offline and require significant time and attention from experts. This work would reduce the amount of data and the amount of time spent calibrating in an offline setting. The first use case involves the Central Drift Chamber (CDC) located inside the GlueX spectrometer in Hall D. We use a combination of environmental and experimental data, such as atmospheric pressure, gas temperature, and the flux of incident particles as inputs to a sequential Neural Network (NN) to recommend a high voltage setting and the corresponding calibration constants in order to maintain consistent gain and optimal resolution throughout the experiment. Utilizing AI in this manner represents an initial shift from offline calibration towards near real time calibrations performed at Jefferson Laboratory.

Research Organization:
Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Nuclear Physics (NP)
Grant/Contract Number:
AC05-06OR23177; FG02-87ER40315
OSTI ID:
1872192
Report Number(s):
JLAB-CST-22-3559; DOE/OR/23177-5436
Journal Information:
Journal of Instrumentation, Journal Name: Journal of Instrumentation Journal Issue: 03 Vol. 17; ISSN 1748-0221
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English

References (3)

The Central Drift Chamber for GlueX
  • Jarvis, N. S.; Meyer, C. A.; Zihlmann, B.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 962 https://doi.org/10.1016/j.nima.2020.163727
journal May 2020
The GlueX beamline and detector
  • Adhikari, S.; Akondi, C. S.; Al Ghoul, H.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 987 https://doi.org/10.1016/j.nima.2020.164807
journal January 2021
Automation of the process of selecting hyperparameters for artificial neural networks for processing retrospective text information journal September 2020

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accelerator applications
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