We present a modular, AI-ready control and monitoring infrastructure developed for the 76-inch isochronous cyclotron at the Crocker Nuclear Laboratory, University of California, Davis. The system combines a GPU-accelerated Python GUI engine on a high-performance Linux workstation with a LabVIEW-based supervisory platform for real-time control and data acquisition.
Communication between...
We describe the ongoing efforts to apply Machine Learning techniques to improve the performance of our accelerator and target. Specially, we are looking to minimize halo beam losses in the absence of a proper physics model, automatically detect and log anomalies in the target support systems such as cooling, and detect and prevent errant beam pulses in the linac. We also describe the...
The Advanced Photon Source Upgrade (APS-U) project aims to enhance the performance and capabilities of the APS, delivering brighter and more coherent x-ray beams to support cutting-edge scientific research. A critical component of this upgrade is the front-end X-ray Beam Position Monitor (XBPM) system, which plays a vital role in ensuring beam stability and precision. This paper presents the...
Precise characterization of the beam distribution is essential for matching the incoming beam and optimizing injection into storage rings. We present a method to efficiently reconstruct the full 5×5 beam sigma matrix (excluding the time coordinates) at the booster-to-storage-ring (BTS) transport line at the Advanced Photon Source Upgrade (APS-U). Earlier works demonstrated that the beam sigma...
Recent trends in power electronics indicate increas-ing demand for fast response switching networks with sub nanosecond switching speed at a variety of volt-ages. Gate driving networks meet the desired switch-ing speeds using COTS (Commercial Off-The Shelf) parts. This work describes an IVA (Inductive Voltage Adder) system capable of switching in the single digits of ns with a projected...
