Author: Geithner, O.
Paper Title Page
TUPAB300 Ion Source Optimization Using Bi-Objective Genetic and Matrix-Profile Algorithm 2190
 
  • W. Geithner, Z. Andelkovic, O. Geithner, F. Herfurth, V. Rapp
    GSI, Darmstadt, Germany
  • A. Neméth
    Atato, Alzenau, Germany
  • A. Van Benschoten
    MPF, Plymouth, Minnesota, USA
  • F. Wilhelmstötter
    emarsys, Vienna, Austria
  
  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.
* Wilhelmstötter, F.: Jenetics advanced genetic algorithm, online http://jenetics.io
** Matrix Profile Foundation. Homepage, online https://github.com/matrix-profile-foundation 		 
poster icon Poster TUPAB300 [5.485 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB300  
About • paper received ※ 01 June 2021       paper accepted ※ 21 June 2021       issue date ※ 16 August 2021  
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