4 citations · 4 across the 5 of their papers we have counts for
5 papers
ML-based Calibration and Control of the GlueX Central Drift Chamber
Thomas Britton, Michael Goodrich, Naomi Jarvis +5
The GlueX Central Drift Chamber (CDC) in Hall D at Jefferson Lab, used for detecting and tracking charged particles, is calibrated and controlled during data taking using a Gaussia…
Hydra: Computer Vision for Data Quality Monitoring
Thomas Britton, Torri Jeske, David Lawrence +1
Hydra is a system which utilizes computer vision to perform near real time data quality management, initially developed for Hall-D in 2019. Since then, it has been deployed across…
AI Assisted Experiment Control and Calibration
Thomas Britton, Michael Goodrich, Naomi Jarvis +4
Final report for the AI Assisted Experiment Control and Calibration project. This project integrated AI/ML into the controls and calibration of a production detector system in the…
AI for Experimental Controls at Jefferson Lab
Torri Jeske, Diana McSpadden, Nikhil Kalra +3
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…
AI Enabled Data Quality Monitoring with Hydra
Thomas Britton, David Lawrence, Kishansingh Rajput
Data quality monitoring is critical to all experiments impacting the quality of any physics results. Traditionally, this is done through an alarm system, which detects low level fa…