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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.}},
}