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The SEparator for CApture Reactions (SECAR) is a next-generation recoilseparator system at the Facility for Rare Isotope Beams (FRIB) designed for thedirect measurement of capture reactions on unstable nuclei in inversekinematics. To maximize the performance of the device, careful beam alignmentto the central ion optical axis needs to be achieved. This can be difficult toattain through manual tuning by human operators without potentially leaving thesystem in a sub-optimal and irreproducible state. In this work, we present thefirst development of online Bayesian optimization with a Gaussian process modelto tune an ion beam through a nuclear astrophysics recoil separator. We showthat the method achieves small incoming angular deviations (0-1 mrad) in anefficient and reproducible manner that is at least 3 times faster than standardhand-tuning. This method is now routinely used for all separator tuning.

Online Bayesian Optimization for Beam Alignment in the SECAR Recoil Mass Separator