  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 GlueX spectrometer, a large scale Nuclear Physics
detector in experimental Hall-D at Jefferson Lab. The AI/ML model predicted
calibration constants for a Central Drift Chamber using environmental
information available prior to taking the data. The device controls were then
automatically adjusted so that the calibration values needed for
post-processing of the data were much more stable and quicker to determine.
Integration into a production system required guardrails and policy choices to
ensure safety of the equipment and the data quality. The project sought to
apply similar technology to other detectors. Those efforts are also described
here. This documents many of the details of the project.
