Electromagnetic full particle code with adaptive mesh refinement technique: Application to the current sheet evolution

Electromagnetic full particle code with adaptive mesh refinement technique: Application to the current sheet evolution
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DOI:
10.1016/j.jcp.2005.10.003
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发表时间:
2006-05
期刊:
J. Comput. Phys.
影响因子:
--
通讯作者:
K. Fujimoto;S. Machida
K. Fujimoto;S. Machida
中科院分区:
其他
文献类型:
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作者:
K. Fujimoto;S. Machida

文献摘要

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我们开发了一种新的二维电磁粒子程序和自适应网格细化(AMR)技术,努力给出与磁重联相关的等离子体片动态变化的自洽描述,其中包括从电子尺度到磁流体尺度的多尺度过程。AMR技术根据细化标准动态地细分和移除单元,对于实现局部包含微尺度过程的现象的高分辨率模拟是非常有效的。由于细分单元中每个单元的粒子数量减少,而数值噪声增加,因此我们不仅细分单元,而且细分其中的粒子,并控制每个单元的粒子数量。我们的程序被用来检验几个著名的过程,如朗缪尔波的朗道衰减,我们证明了AMR技术和粒子分裂算法成功地应用于传统的粒子程序。我们还研究了Harris类电流片的非线性演化,实现了与其他全粒子模拟基本相同的性质。我们的AMR代码大大减少了细胞和粒子的数量,从而大大缩短了模拟完成的时间,这使得我们能够在当前的薄片演化上进行大规模的模拟。
We have developed a new two and a half dimensional electromagnetic particle code with adaptive mesh refinement (AMR) technique in an effort to give a self-consistent description of the dynamic change of the plasma sheet in association with magnetic reconnection, which includes multi-scale processes from the electron scale to the magnetohydrodynamic scale. The AMR technique subdivides and removes cells dynamically in accordance with a refinement criterion and it is quite effective to achieve high-resolution simulations of phenomena that locally include micro-scale processes. Since the number of particles per cell decreases in the subdivided cells and a numerical noise increases, we subdivide not only cells but also particles therein and control the number of particles per cell. Our code is checked against several well-known processes such as the Landau damping of the Langmuir waves and we show that the AMR technique and particle splitting algorithm are successfully applied to the conventional particle codes. We have also examined the nonlinear evolution of the Harris-type current sheet and realized basically the same properties as those in other full particle simulations. We show that the numbers of cells and particles are greatly reduced so that the time to complete the simulation is significantly shortened in our AMR code, which enables us to conduct large-scale simulations on the current sheet evolution.