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@inproceedings{geithner:ipac2021-tupab300, author = {W. Geithner and Z. Andelkovic and O. Geithner and F. Herfurth and A. Neméth and V. Rapp and A. Van Benschoten and F. Wilhelmstötter}, % author = {W. Geithner and Z. Andelkovic and O. Geithner and F. Herfurth and A. Neméth and V. Rapp and others}, % author = {W. Geithner and others}, title = {{Ion Source Optimization Using Bi-Objective Genetic and Matrix-Profile Algorithm}}, booktitle = {Proc. IPAC'21}, pages = {2190--2193}, eid = {TUPAB300}, language = {english}, keywords = {ion-source, controls, experiment, ECR, software}, venue = {Campinas, SP, Brazil}, series = {International Particle Accelerator Conference}, number = {12}, publisher = {JACoW Publishing, Geneva, Switzerland}, month = {08}, year = {2021}, issn = {2673-5490}, isbn = {978-3-95450-214-1}, doi = {10.18429/JACoW-IPAC2021-TUPAB300}, url = {https://jacow.org/ipac2021/papers/tupab300.pdf}, note = {https://doi.org/10.18429/JACoW-IPAC2021-TUPAB300}, abstract = {{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 applications based on the data available from beam diagnostic instruments and input signals controlling the ion source. As a first proof of principle, we implemented a closed-loop optimization software controller based on bi-objective Genetic Optimization*. As one property for optimization we used the ion beam current measured with a Faraday-cup detector. As second optimization-property we the on-line processed time-resolved signal of the individual ion-source pulses employing the relatively new Matrix-Profile Algorithm** which provides a measure for the shot-by-shot variability of the consecutive pulses. We will report on the status of the data logging framework, the implementation of related software programs and the results of first tests.}}, }