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Jianhua Zhong, Jiabao Guan, Lanxin Liu, Guoxing Xia, Jike Wang, Yuancun Nie. Simulation of laser plasma wakefield acceleration with external injection based on Bayesian optimization[J]. Plasma Science and Technology. DOI: 10.1088/2058-6272/ad91e8
Citation: Jianhua Zhong, Jiabao Guan, Lanxin Liu, Guoxing Xia, Jike Wang, Yuancun Nie. Simulation of laser plasma wakefield acceleration with external injection based on Bayesian optimization[J]. Plasma Science and Technology. DOI: 10.1088/2058-6272/ad91e8

Simulation of laser plasma wakefield acceleration with external injection based on Bayesian optimization

  • In laser wakefield acceleration (LWFA), injecting an external electron beam at certain energy is a promising approach to achieving high-quality electron beam with low energy spread and low emittance. In this paper, the process of laser wakefield acceleration with an external injection at 10 pC has been studied in simulations. A Bayesian optimization method is used to optimize the key laser and plasma parameters, so that the electron beam is accelerated to the expected energy with a small emittance and energy spread growth. The effect of rising edge of the plasma on the transverse properties of the electron beam is simulated and optimized in order to ensure that the external electron beam is injected into the plasma without significant emittance growth. Finally, a high-quality electron beam with an energy of 1.5 GeV, the normalized transverse emittance of 0.5 mm·mrad and the relative energy spread of 0.5% at 10 pC is obtained.
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