Author: Eisebitt, S.
Paper Title Page
THPAB009 Multi-Objective Optimization of an SRF Photoinjector for ERL and UED Applications 3704
SUSPSIK065   use link to see paper's listing under its alternate paper code  
 
  • E. Panofski, A. Jankowiak, T. Kamps, G. Kourkafas
    HZB, Berlin, Germany
  • S. Eisebitt
    MBI, Berlin, Germany
 
  Superconducting RF photoinjectors, running in continuous-wave (cw) mode, are able to generate electron beams of high average brightness and ultra-short bunches. Therefore, they satisfy the requirements of future accelerator facilities, such as energy recovery linacs (ERL). Further, SRF guns are able to provide relativistic probe beams for ultrafast electron diffraction (UED). Choosing suitable values for the drive laser, cavity and solenoid settings poses a great challenge for the injector commissioning and operation. Using multi-objective optimization based on an evolutionary algorithm, optimum gun parameter settings are extracted from Pareto-optimum solutions. The development of a universal multi-objective optimization algorithm for SRF photoinjectors as well as first Pareto optimum results for an ERL and UED application of GunLab, the compact SRF gun test facility at Helmholtz-Zentrum Berlin, will be presented.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2017-THPAB009  
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