Author: Andelkovic, Z.
Paper Title Page
THPAF077 Ion-optical Measurements at CRYRING@ESR during Commissioning 3161
 
  • O. Geithner, Z. Andelkovic, M. Bai, A. Bräuning-Demian, V. Chetvertkova, O. Chorniy, C. Dimopoulou, W. Geithner, O.E. Gorda, F. Herfurth, M. Lestinsky, S.A. Litvinov, S. Reimann, A. Reiter, M. Sapinski, R. Singh, T. Stöhlker, G. Vorobjev, U. Weinrich
    GSI, Darmstadt, Germany
  • A. Källberg
    Stockholm University, Stockholm, Sweden
 
  CRYRING@ESR is a heavy ion storage ring, which can cool and decelerate highly charged ions down to a few 100 keV/u. It has been relocated from Sweden to GSI, downstream of the experimental storage ring (ESR), within the FAIR project. The ring will be used as a test facility for FAIR technologies as well as for physics experiments with slow exotic ion beams for several FAIR collaborations: SPARC, BioMat, FLAIR and NUSTAR. CRYRING@ESR is in its commissioning phase since summer 2016. Several ion-optical measurements such as tunes, tune diagram, dispersion, chromaticity and orbit response matrix were performed at the ring. The measurements will be used for several purposes such as improvement of the theoretical model, closed orbit control and correction of unacceptable misalignments, calibration coefficients and field errors.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2018-THPAF077  
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THPML028 Genetic Algorithms for Machine Optimization in the Fair Control System Environment 4712
 
  • W. Geithner, Z. Andelkovic, S. Appel, O. Geithner, F. Herfurth, S. Reimann, G. Vorobjev
    GSI, Darmstadt, Germany
  • F. Wilhelmstötter
    emarsys, Vienna, Austria
 
  Due to the massive parallel operation modes at the GSI accelerators, a lot of accelerator setup and re-adjustment have to be made by the operators during a beam time. With the FAIR project the complexity of the accelerator facility increases furthermore and for efficiency reasons it is recommended to establish a high level of automation for future operation. The PEP (parameter evolution project) has been launched at GSI operations group in 2017 to investigate the potential of a settings optimization using evolutionary Algorithms. The working proof of principle has already been tested at the Cryring injector. The latest improvements and the further Development of the Parameter Evolution Project will be shown.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2018-THPML028  
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