Author: Yu, Y.
Paper Title Page
THPOW009 Optimal Design of a Photocathode Electron Gun with High-brightness and High-repetition Rate Based on Genetic Algorithm 3947
 
  • Zh. X. Tang, X.M. Yang, W.Q. Zhang
    DICP, Dalian, People's Republic of China
  • Y.J. Pei, Y. Yu
    USTC/NSRL, Hefei, Anhui, People's Republic of China
 
  A low RF frequency of normal conducting photocathode gun with high-brightness and high-repetition rate is designed as an electron source of the Next Generation Light Source (NGLS). In order to optimize the performance of the gun, a genetic multi-objective algorithm has been used. A genetic algorithm is used because of the inherent complexity of the large number of parameters of the cavity geometry available for optimization. On the other hand, the multiplicity of requirements on the beam, which include beam emittance, beam pulse length, energy chirp, as well as pulse shape and peak current, leads to a multi-objective approach for the optimization technique. In this paper, we present the status of the optimization simulations, using the SUPERFISH and PERMELA particle-in-cell code.  
DOI • reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-THPOW009  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)