4 papers
Readout and PID using AIML for SoLID High Background Cherenkov Detectors
Zhiwen Zhao, Bishnu Karki, Bo Yu +10
We present the development of readout electronics and artificial-intelligence-based particle-identification methods for the SoLID Cherenkov detectors at Jefferson Lab. To operate i…
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 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…