Ion Source Optimization Using Bi-Objective Genetic and Matrix-Profile Algorithm

Employing the local ECR ion source of the FAIR phase 0 ion storage-ring CRYRING@ESR, we set up an IT-environment for on-line data processing and for applications accessing data available from beam-diagnostic instruments and input parameters controlling CRYRING@ESR’s ion source. As a first proof of principle, we implemented a closed-loop optimization software controller based on bi-objective Genetic Optimization. As first optimization goal property we used the averaged ion beam current measured with a Faraday cup. The second goal property was a metric for the pulse-by-pulse stability of the source. This metric was derived from the time-resolved signal of the individual ion source pulses employing the relatively new Matrix-Profile Algorithm. This paper reports on the status of the data logging framework, the implementation of related software programs and the results of first tests.