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Automatized optimization of beam lines using evolutionary algorithms

  • Due to the massive parallel operation modes at GSI accelerators, a lot of accelerator setup and re-adjustment has to be made by operators during a beam time. This is typically done manually using potentiometers and is very time-consuming. With the FAIR project the complexity of the accelerator facility increases further and for efficiency reasons it is recommended to establish a high level of automation for future operation. Modern Accelerator Control Systems allow a fast access to both, accelerator settings and beam diagnostics data. This provides the opportunity to implement algorithms for automated adjustment of e.g. magnet settings to maximize transmission and optimize required beam parameters. The fast-switching magnets in GSI-beamlines are an optimal basis for an automatic exploration of the parameter-space. The optimization of the parameters for the SIS18 multi-turn-injection using a genetic algorithm has already been simulated*. The first results of our automatized online parameter optimization at the CRYRING@ESR injector are presented here.

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Author:Sabrina Appel, Stephan ReimannGND, Vera Chetvertkova, Ralf Wolfgang Geithner, Frank HerfurthGND, Udo Krause, Mariusz Sapinski, Petra Schütt
URN:urn:nbn:de:hebis:30:3-589688
DOI:https://doi.org/10.18429/JACoW-IPAC2017-THPAB096
ISBN:978-3-95450-182-3
Parent Title (English):IPAC17 : 8th International Particle Accelerator Conference : 14-19 May 2017, Bella Center, Copenhagen, Denmark
Publisher:JACoW
Place of publication:Geneva
Document Type:Conference Proceeding
Language:English
Year of Completion:2017
Year of first Publication:2017
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2022/01/27
Tag:injection; ion; operation; quadrupole; simulation
Page Number:4
First Page:2307
Last Page:2310
HeBIS-PPN:490533566
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 3.0