首页> 外文期刊>Nuclear Instruments & Methods in Physics Research >RF design of APEX2 two-cell continuous-wave normal conducting photoelectron gun cavity based on multi-objective genetic algorithm
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RF design of APEX2 two-cell continuous-wave normal conducting photoelectron gun cavity based on multi-objective genetic algorithm

机译:基于多目标遗传算法的APEX2双单元连续波正常电导光电子枪腔RF设计

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摘要

High brightness, high repetition rate electron beams are key components for optimizing the performance of next generation scientific instruments, such as MHz-class X-ray Free Electron Laser (XFEL) and Ultra-fast Electron Diffraction/Microscopy (UED/UEM). In the Advanced Photo-injector EXperiment (APEX) at Berkeley Lab, a photoelectron gun based on a 185.7 MHz normal conducting re-entrant RF cavity, has been proven to be a feasible solution to provide high brightness, high repetition rate electron beam for both XFEL and UED/UEM. Based on the success of APEX, a new electron gun system, named APEX2, has been under development to further improve the electron beam brightness. For APEX2, we have designed a new 162.5 MHz two-cell photoelectron gun and achieved a significant increase on the cathode launching field and the beam exit energy. For a fixed charge per bunch, these improvements will allow for the emittance reduction and hence to an increased beam brightness. The design of APEX2 gun cavity is a complex problem with multiple design goals and restrictions, some even competing each other. For a systematic and comprehensive search for the optimized cavity geometry, we have developed and implemented a novel optimization method based on the Multi-Objective Genetic Algorithm (MOGA).
机译:高亮度,高重复率电子束是用于优化下一代科学仪器的性能的关键部件,例如MHz级X射线自由电子激光器(XFEL)和超快速电子衍射/显微镜(UED / UEM)。在伯克利实验室的高级照片注射器实验(顶点)中,基于185.7MHz的光电子枪进行正常导电再参与者RF腔,已被证明是一种可行的解决方案,为两者提供高亮度,高重复率电子束xfel和ued / uem。基于顶点的成功,已经开发出一种名为Apex2的新电子枪系统,以进一步改善电子束亮度。对于APEX2,我们设计了一种新的162.5MHz双单元光电子枪,并且在阴极发射领域和光束出口能量实现了显着增加。对于每束固定电荷,这些改进将允许降低的可粘度降低,从而增加波束亮度。 Apex2枪腔的设计是一种复杂的问题,具有多种设计目标和限制,一些甚至互相竞争。为了系统和全面搜索优化腔几何,我们已经开发并实现了一种基于多目标遗传算法(MOGA)的新型优化方法。

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  • 作者单位

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA|Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

    Lawrence Berkeley Natl Lab One Cyclotron Rd Berkeley CA 94720 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Photoelectron RF gun; RF cavity design; Multi-objective genetic algorithm;

    机译:光电子RF枪;RF腔设计;多目标遗传算法;

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