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arXiv 2201.12756physics.plasm-ph
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无碰撞磁重联磁流体动力学模拟的有效电阻率

Effective resistivity for magnetohydrodynamic simulation of collisionless magnetic reconnection

H. W. Zhang, Z. W. Ma, T. Chen

AI总结:

本文将含带电粒子动力学的有效电阻率模型应用于无引导场无碰撞磁重联的2.5维MHD与Hall MHD模拟,显著提升重联率并使结构与PIC及混合模拟吻合。

摘要:

电子惯性项和非对角电子压力项是无碰撞磁重联中冻结条件破缺的众所周知原因,它们本质上是动理学的,难以用于磁流体动力学(MHD)模拟。在考虑了MHD和Hall MHD因忽略电子惯性和非回旋压力等重要电子动力学而存在的不足之后,本文研究了扩散区中电子和离子的动理学特性,并提出了一个包含带电粒子动力学的有效电阻率模型[Z. W. Ma et al. 2018 Sci. Rep. 8 10521]。在大多数具有较大离子-电子质量比的真实情形中,有效电阻率的幅值主要由电子决定。本工作将无引导场无碰撞磁重联的有效电阻率模型成功应用于2.5维MHD和Hall MHD模拟,与传统MHD模型相比显著改善了模拟结果。对于MHD情形,有效电阻率将重联率显著提高到约0.1$B_0v_A$的合理值。对于采用有效电阻率的Hall MHD情形,峰值重联率约为0.25$B_0v_A$,且重联场和电流片的主要结构与粒子模拟(PIC)和混合模拟结果高度一致。

英文摘要:

The electron inertia term and the off-diagonal electron pressure terms are well-known for the frozen-in condition breakdown in collisionless magnetic reconnection, which are naturally kinetic and difficult to be employed in magnetohydrodynamic (MHD) simulations. After considering the shortcomings of MHD and Hall MHD in neglecting the important electron dynamics such as the inertia and the nongyrotropic pressure, the kinetic characteristics of electrons and ions in the diffusion region are studied and an effective resistivity model involving dynamics of charged particles is proposed [Z. W. Ma et al. 2018 Sci. Rep. 8 10521]. The amplitude of the effective resistivity is mainly determined by electrons in most realistic situations with large ion-electron mass ratios. In this work, the effective resistivity model for collisionless magnetic reconnection without the guide field is successfully applied in the 2.5D MHD and Hall MHD simulations, which remarkably improves the simulation results compared with traditional MHD models. For the MHD case, the effective resistivity significantly increased the reconnection rate to the reasonable value of ~0.1$B_0v_A$. For the Hall MHD case with effective resistivity, the peak reconnection rate is ~0.25$B_0v_A$, and the major structures of the reconnecting field and the current sheet agree well with the particle-in-cell (PIC) and hybrid simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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