2nd GSI/FAIR AI Workshop

The GSI/FAIR facility’s complexity demands a high degree of automation for future operations. As part of this effort, we developed Geoff, a framework for real-time optimization of beam parameters and experimental setups designed for fast deployment and control room integration. Geoff significantly improves operational performance, having reduced SIS18 synchrotron injection losses from 45% to 12% and accelerated fragment separator setup using a classification algorithm. Furthermore, using dedicated ion-source setups of the PUMA experiment at TU Darmstadt, we demonstrated the feasibility of real-time tuning for ion sources and particle traps by optimizing a hot-cathode electron source and a multi-reflection time-of-flight mass spectrometer. Geoff’s modular design facilitates seamless integration of both classical and machine-learning-based algorithms, bridging traditional accelerator operations with modern data-driven optimization. Geoff was supported by EURO-LABS and will receive further EU funding through the TwinRise, iRIS, and HADRON-2030 initiatives.