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Description
Accelerator control systems consist of very large numbers of parameters, many of which are continually re-tuned to account for different working conditions and drifting optimal points. In the case of the BNL RHIC Injector Complex, many different ion species are accelerated, and while there is a scarcity of diagnostics, there is a surplus of control knobs for optimizing the injection process. In this report, we investigate the use of Bayesian optimization (BO) to optimize the injection for the highest beam brightness in the AGS. We used up to 4 steering magnets in the BtA and up to 4 quadrupoles. The most suitable magnets were chosen by an investigation of the betatron phase advance to facilitate an efficient BO process. An integrated current transformer captured the injected beam intensity while the emittance was estimated via an Ion Profile Monitor. It was demonstrated that the chosen magnets effectively recovered a high intensity beam from a poorly-tuned configuration, using an Xopt implementation of BO, without increasing the beam profile. Systematic effects and noise from the IPM signal made clear readings challenging, but a new electron IPM is being configured for better profile measurements.
