Speaker
Description
In this paper, the Non-dominated Sorting Genetic Algorithm II (NSGA-II), combined with the beam dynamics code ASTRA, was employed for the multi-objective optimization of the output performance of an electron linear accelerator (linac). Taking the pre-injector of a storage ring light source as an example, the electron linac consists of a thermionic cathode high-voltage electron gun, a sub-harmonic buncher (SHB), a buncher, and a traveling-wave accelerator tube. Maximizing the transmission efficiency and minimizing the energy spread were defined as the core objectives of the optimization. The optimization results indicate that the beam energy at the linac exit reaches approximately 65 MeV, with the transmission efficiency exceeding 70% and the energy spread maintained below 0.35%.
Funding Agency
Anhui Provincial Natural Science Foundation (Youth Project, Category C, No. 2508085QA013);
The National Natural Science Foundation of China (12405173)
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