Improvement of Capture Ratio for an X-Band Linac Based on Multi-Objective Genetic Algorithm
J.Y. Li, T. Hu, J. Yang, B.Q. Zeng
HUST, Wuhan, People’s Republic of China
SINR, Jiading, Shanghai, People’s Republic of China
Funding:This work was supported by National Natural Science Foundation of China (NSFC) under Project Numbers 11905074. Electron linear accelerators with an energy of ~MeV are widely required in industrial applications. Whereas miniaturized accelerators, especially those working at X-band, attract more and more attention due to their compact structures and high gradients. Since the performance of a traveling wave (TW) accelerator is determined by its structures, considerable efforts must be made for structure optimization involving numerous and complex parameters. In this context, functional key parameters are obtained through deep analysis for structure and particle motion characteristics of the TW accelerator, then a multi-objective genetic algorithm (MOGA) is successfully applied to acquire an optimized phase velocity distribution which can contribute to achieving a high capture ratio and a low energy spread. Finally, a low-energy X-band TW tube used for rubber vulcanization is taken as an example to verify the reliability of the algorithm under a single-particle model. The capture ratio is 91.2%, while the energy spread is 5.19%, and the average energy is 3.1MeV.
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