A computational model for exploring particle acceleration during reconnection in macroscale systems
A computational model for exploring particle acceleration during reconnection in macroscale systems
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DOI：
10.1063/1.5058140
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发表时间：
2019-01-01
影响因子：
2.2
通讯作者：
Dahlin, J. T.
中科院分区：
文献类型：
--
作者：
Drake, J. F.;Arnold, H.;Dahlin, J. T.
提出了一个新的计算模型，用于研究宏观系统中磁场重联过程中高能电子的自洽产生。该方程是基于最近的发现，平行电场是无效的驱动程序的高能粒子在重联，使控制这些领域的发展的动力学尺度可以命令的方程。由此产生的方程组成的磁流体动力学（MHD）的骨干与高能分量所表示的宏观粒子所描述的指导中心方程。最重要的是，高能分量反馈到MHD方程上，使得MHD流体和高能粒子的总能量守恒。方程正确地描述了消防水龙带不稳定性，其动力学在节流重联和控制高能粒子的光谱中起着关键作用。该模型的早期测试结果，包括阿尔芬波在压力各向异性系统中的传播和消防水龙带模式的增长，确定基本算法是稳定的，并产生可靠的物理结果，为进一步基准与粒子在细胞模型的重连做准备。由AIP Publishing授权出版。
A new computational model suitable for exploring the self-consistent production of energetic electrons during magnetic reconnection in macroscale systems is presented. The equations are based on the recent discovery that parallel electric fields are ineffective drivers of energetic particles during reconnection so that the kinetic scales which control the development of such fields can be ordered out of the equations. The resulting equations consist of a magnetohydrodynamic (MHD) backbone with the energetic component represented by macro-particles described by the guiding center equations. Crucially, the energetic component feeds back on the MHD equations so that the total energy of the MHD fluid and the energetic particles is conserved. The equations correctly describe the firehose instability, whose dynamics plays a key role in throttling reconnection and in controlling the spectra of energetic particles. The results of early tests of the model, including the propagation of Alfven waves in a system with pressure anisotropy and the growth of firehose modes, establish that the basic algorithm is stable and produces reliable physics results in preparation for further benchmarking with particle-in-cell models of reconnection. Published under license by AIP Publishing.