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Statistical Survey of Collisionless Dissipation in the Terrestrial Magnetosheath
Journal of Geophysical Research: Space Physics ( IF 2.8 ) Pub Date : 2021-05-27 , DOI: 10.1029/2020ja029000
Yanwen Wang 1 , Riddhi Bandyopadhyay 2 , Rohit Chhiber 1, 3 , William H. Matthaeus 1 , Alexandros Chasapis 4 , Yan Yang 5 , Frederick D. Wilder 6 , Daniel J. Gershman 3 , Barbara L. Giles 3 , Craig J. Pollock 7 , John Dorelli 3 , Christopher T. Russell 8 , Robert J. Strangeway 8 , Roy T. Torbert 8 , Thomas E. Moore 3 , James L. Burch 9
Affiliation  

Kinetic dissipation of turbulence is an important physical process occurring in collisionless plasmas. Using in-situ data from the Magnetospheric Multiscale (MMS) Mission, we investigate the statistical distribution of kinetic dissipation in the terrestrial magnetosheath. We make use of an analysis of the Vlasov–Maxwell equations that provides a general description of transfer of internal energy, fluid-flow energy, and electromagnetic energy in collisionless plasma, including both spatial transport and conversion between forms. In particular, we focus on the channels that separately produce proton and electron internal energies. Applying those results to MMS burst-mode data obtained in the weakly collisional, turbulent magnetosheath plasma, it is possible to quantify contributions to dissipation from the compressive pressure-dilatation channel, and from the incompressive pressure-strain channel, for both plasma species. We also employ a simple spatial filtering approach as a first step to quantifying plasma heating at large and small scales. The analysis is carried out for 50 selected turbulent data intervals, and statistical distributions of the results are presented.

中文翻译:

地磁鞘中无碰撞耗散的统计调查

湍流的动力学耗散是发生在无碰撞等离子体中的重要物理过程。使用来自磁层多尺度( MMS ) 任务的原位数据,我们研究了地球磁鞘中动力学耗散的统计分布。我们利用对 Vlasov-Maxwell 方程的分析,该方程提供了无碰撞等离子体中内能、流体流动能和电磁能转移的一般描述,包括空间传输和形式之间的转换。我们特别关注分别产生质子和电子内能的通道。将这些结果应用于MMS通过在弱碰撞、湍流磁鞘等离子体中获得的爆发模式数据,可以量化压缩压力膨胀通道和非压缩压力应变通道对两种等离子体的耗散贡献。我们还采用简单的空间滤波方法作为量化大尺度和小尺度等离子体加热的第一步。对 50 个选定的湍流数据区间进行了分析,并给出了结果的统计分布。
更新日期:2021-06-11
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