Author: Geithner, W.
Paper Title Page
TUPAB178 Recommissioning of the CRYRING@ESR Electron Cooler 1816
 
  • C. Krantz, Z. Andelkovic, C. Dimopoulou, W. Geithner, T. Hackler, F. Herfurth, R. Hess, M. Lestinsky, E. Menz, A. Reiter, J. Roßbach, C. Schroeder, A. Täschner, G. Vorobjev
    GSI, Darmstadt, Germany
  • C. Brandau, S. Schippers
    Justus-Liebig-University Giessen, I. Physics Institute, Atomic and Molecular Physics, Giessen, Germany
  • V. Hannen, D. Winzen
    Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Münster, Germany
  • C. Weinheimer
    Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, Münster, Germany
  
  Funding: Parts of this work have been supported by the German Federal Ministry of Education and Research (BMBF) under contract numbers 05P19PMFA1 and 05P19RGFA1.
The heavy-ion stor­age ring CRYRING has been recom­mis­sioned down­stream of GSI’s ESR, which it com­ple­ments as ded­i­cated low-en­ergy ma­chine. A key el­e­ment of CRYRING@​ESR is its elec­tron cooler, which fea­tures one of the cold­est elec­tron beams avail­able. This en­ables ef­fi­cient phase-space cool­ing and, in ad­di­tion, pro­vides very high en­ergy res­o­lu­tion when used as in­ter­nal elec­tron tar­get. We re­port on tech­ni­cal up­grades that have been made as part of the re-in­stal­la­tion of the cooler at GSI/FAIR and share first re­sults ob­tained after recom­mis­sion­ing. 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB178  
About • paper received ※ 18 May 2021       paper accepted ※ 16 June 2021       issue date ※ 25 August 2021  
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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 		 
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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  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)