The dynamic of ion Bernstein-Greene-Kruskal holes in plasmas with regularized κ-distributed electrons

IF 1.7 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Qiu Ping Lu, Cai Ping Wu, Hui Chen, Xiao Chang Chen, San Qiu Liu
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引用次数: 0

Abstract

Abstract. The dynamics of ion holes (IHs) in plasmas where electrons follow the regularized Kappa distribution (RKD) and ions follow the Maxwellian distribution (MD) are investigated based on the Bernstein-Greene-Kruskal (BGK) method. The results show that the depth of the IHs, the allowed combination of width and amplitude to support physically plausible IHs equilibrium depend on the spectral index κe and cut-off parameter α of the distribution function. That is, with increasing values of the spectral index κe and cut-off parameter α, the IHs formed become deeper and allow a larger permissible region of width and amplitude. In contrast, with decreasing values of the spectral index κe and cut-off parameter α, the IHs formed become shallower and have a smaller allowed range of width and amplitude. The present work may contribute to the comprehension of the nonlinear structures in plasmas system where non-thermal particles are found.
具有正则化κ分布电子的等离子体中离子伯恩斯坦-格林-克鲁斯卡尔空穴的动态变化
摘要基于伯恩斯坦-格林-克鲁斯卡尔(BGK)方法,研究了电子服从正则化卡帕分布(RKD)和离子服从麦克斯韦分布(MD)的等离子体中离子洞(IHs)的动力学。结果表明,IHs 的深度、支持物理上可信的 IHs 平衡所允许的宽度和振幅组合取决于分布函数的光谱指数 κe 和截止参数 α。也就是说,随着光谱指数 κe 和截止参数 α 值的增加,形成的 IH 会变得更深,允许的宽度和振幅区域也会更大。相反,随着光谱指数κe 和截止参数 α 值的减小,形成的 IH 越浅,允许的宽度和振幅范围越小。本研究可能有助于理解存在非热粒子的等离子体系统中的非线性结构。
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来源期刊
Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics 地学-地球化学与地球物理
CiteScore
4.00
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: Nonlinear Processes in Geophysics (NPG) is an international, inter-/trans-disciplinary, non-profit journal devoted to breaking the deadlocks often faced by standard approaches in Earth and space sciences. It therefore solicits disruptive and innovative concepts and methodologies, as well as original applications of these to address the ubiquitous complexity in geoscience systems, and in interacting social and biological systems. Such systems are nonlinear, with responses strongly non-proportional to perturbations, and show an associated extreme variability across scales.
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