Simulation studies of beam dynamics in 50 MeV linear accelerator with laser-plasma electron gun

Q3 Physics and Astronomy

Cybernetics and Physics Pub Date : 2021-12-31 DOI:10.35470/2226-4116-2021-10-4-260-270

S. Polozov, V. Rashchikov

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引用次数: 1

Abstract

Conventionally, electron guns with thermionic cathodes or field-emission cathodes are used for research or technological linear accelerators. RF-photoguns are used to provide the short electron bunches which could be used for FEL’s of compact research facilities to generate monochromatic photons. Low energy of emitted electrons is the key problem for photoguns due to high influence of Coulomb field and difficulties with the first accelerating cell simulation and construction. Contrary, plasma sources, based on the laser-plasma wakefield acceleration, have very high acceleration gradient but rather broad energy spectrum compared with conventional thermoguns or field-emission guns. The beam dynamics in the linear accelerator combines the laser-plasma electron source and conventional RF linear accelerator is discussed in this paper. Method to capture and re-accelerate the short picosecond bunch with extremely broad energy spread (up to 50 %) is presented. Numerical simulation shows that such bunches can be accelerated in RF linear accelerator to the energy of 50 MeV with output energy spread not higher than 1 % .

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50 MeV激光等离子体电子枪直线加速器束流动力学模拟研究

传统上，带有热离子阴极或场发射阴极的电子枪用于研究或技术线性加速器。射频光枪用于提供短电子束，这些短电子束可用于小型研究设施的自由电子激光器以产生单色光子。由于库仑场的影响较大，以及第一次加速电池模拟和构建的困难，发射电子的低能量是光电枪的关键问题。与传统的热枪或场发射枪相比，基于激光等离子体尾流场加速度的等离子体源具有很高的加速度梯度和较宽的能谱。本文讨论了激光等离子体电子源与传统射频直线加速器相结合的直线加速器中的束流动力学问题。提出了捕获和重新加速具有极宽能量传播(高达50%)的短皮秒束的方法。数值模拟表明，在射频直线加速器中，这种束束可以加速到50 MeV的能量，输出能量扩散不高于1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.