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RIS citation export for TUPAB300: Ion Source Optimization Using Bi-Objective Genetic and Matrix-Profile Algorithm

TY  - CONF
AU  - Geithner, W.
AU  - Andelkovic, Z.
AU  - Geithner, O.
AU  - Herfurth, F.
AU  - Neméth, A.
AU  - Rapp, V.
AU  - Van Benschoten, A.
AU  - Wilhelmstötter, F.
ED  - Liu, Lin
ED  - Byrd, John M.
ED  - Neuenschwander, Regis T.
ED  - Picoreti, Renan
ED  - Schaa, Volker R. W.
TI  - Ion Source Optimization Using Bi-Objective Genetic and Matrix-Profile Algorithm
J2  - Proc. of IPAC2021, Campinas, SP, Brazil, 24-28 May 2021
CY  - Campinas, SP, Brazil
T2  - International Particle Accelerator Conference
T3  - 12
LA  - english
AB  - 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.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 2190
EP  - 2193
KW  - ion-source
KW  - controls
KW  - experiment
KW  - ECR
KW  - software
DA  - 2021/08
PY  - 2021
SN  - 2673-5490
SN  - 978-3-95450-214-1
DO  - doi:10.18429/JACoW-IPAC2021-TUPAB300
UR  - https://jacow.org/ipac2021/papers/tupab300.pdf
ER  -