The artificial intelligence (AI) for experiment control and calibration project at Jefferson Lab, VA, aims to develop and deploy an artificial intelligence system to control and calibrate detector systems. Drift chambers are an ideal subject for this: they are used widely for tracking and particle identification, but their calibration can be time-consuming as each chamber's performance is dependent on environmental factors such as pressure, temperature and the flux of incident particles.
The AI system under development will monitor the environmental quantities and suggest a new high voltage setting for the detector at the time of measurement, to maintain consistent gain and resolution throughout the weeks of data-taking. It will also predict the values necessary to calibrate the data.
This talk will describe development of the AI system for the GlueX Central Drift Chamber.
