Bayesian Inference of Ion Beam Characteristics Using Calorimetry

SHINE Technologies, LLC currently utilizes beam-target based fusion devices for the production of neutrons. These beams have stringent requirements for performance and minimal room for diagnostics. Additionally, the behavior of the microwave ion source evolves over the course of its lifetime, changing the characteristics of the beam and necessitating retuning the operational parameters to maintain the desired neutron output. Currently the available diagnostics for assessing beam behavior consist of a series of temperature measurements on apertures, quantifying the beam current scraped as it passes through. These temperature measurements are used to assess total loss at each aperture via calorimetry and alignment with the target via localized resistance temperature detectors. In isolation, these individual temperature measurements at aperture locations may be inconclusive; however, taken as a whole, the set of measurements can provide valuable information about the beam constituency and behavior. In light of this, an optical beam model has been developed as part of a Bayesian Inference tool for assessing beam characteristics. Initial studies using the model examine the relationship between global beam characteristics and expected loss measurements.