Reconstruction of Electron and Ion Distribution Functions in a Magnetotail Reconnection Diffusion Region

0Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In the diffusion region of magnetotail reconnection, particle distributions are highly structured, exhibiting triangular shapes and multiple striations that deviate dramatically from the Maxwellian distribution. Fully kinetic simulations have been demonstrated to be capable of producing the essential structures of the observed distribution functions, yet are computationally not feasible for 3D global simulations. The fluid models used for large-scale simulations, on the other hand, do not have the kinetic physics necessary for describing reconnection accurately. Our study aims to bridge fully kinetic and fluid simulations by quantifying the information required to capture the non-Maxwellian features in the distributions underlying the closures used in the fluid code. We compare the results of fully kinetic simulations with observed electron velocity distributions in a magnetotail reconnection diffusion region and use the maximum entropy model to reconstruct electron and ion distributions using various numbers of moments obtained from the simulation. Our results indicate that using only local moments, the maximum entropy model can reproduce many of the features of the distributions: (1) the electron outflow distribution with a tilted triangular structure is reproduced with 21 or more moments in agreement with Ng et al. (2018, https://doi.org/10.1063/1.5041758) and (2) counterstreaming distributions can be captured with the 35-moment model when the separation in velocity space between the populations is large.

Author supplied keywords

Cite

CITATION STYLE

APA

Ng, J., Chen, L. J., Hakim, A., & Bhattacharjee, A. (2020). Reconstruction of Electron and Ion Distribution Functions in a Magnetotail Reconnection Diffusion Region. Journal of Geophysical Research: Space Physics, 125(7). https://doi.org/10.1029/2020JA027879

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free