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Title: Exploring the statistics of magnetic reconnection X-points in kinetic particle-in-cell turbulence

Abstract

Magnetic reconnection is a ubiquitous phenomenon in turbulent plasmas. It is an important part of the turbulent dynamics and heating of space and astrophysical plasmas. We examine the statistics of magnetic reconnection using a quantitative local analysis of the magnetic vector potential, previously used in magnetohydrodynamics simulations, and now employed to fully kinetic particle-in-cell (PIC) simulations. Different ways of reducing the particle noise for analysis purposes, including multiple smoothing techniques, are explored. We find that a Fourier filter applied at the Debye scale is an optimal choice for analyzing PIC data. Lastly, we find a broader distribution of normalized reconnection rates compared to the MHD limit with rates as large as 0.5 but with an average of approximately 0.1.

Authors:
 [1];  [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4]
  1. Univ. of Delaware, Newark, DE (United States). Dept. of Physics and Astronomy, Bartol Research Institute
  2. South Univ. of Science and Technology of China, Shenzhen, Guangdong (People's Republic of China). Dept. of Mechanics and Aerospace Engineering
  3. Queens Univ., Belfast (United Kingdom). School of Mathematics and Physics
  4. Univ. della Calabria, Cosenza (Italy). Dipartimento di Fisica
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center
Sponsoring Org.:
USDOE
OSTI Identifier:
1497885
Resource Type:
Accepted Manuscript
Journal Name:
Physics of Plasmas
Additional Journal Information:
Journal Volume: 24; Journal Issue: 10; Journal ID: ISSN 1070-664X
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY

Citation Formats

Haggerty, C. C., Parashar, T. N., Matthaeus, W. H., Shay, M. A., Yang, Y., Wan, M., Wu, P., and Servidio, S. Exploring the statistics of magnetic reconnection X-points in kinetic particle-in-cell turbulence. United States: N. p., 2017. Web. doi:10.1063/1.5001722.
Haggerty, C. C., Parashar, T. N., Matthaeus, W. H., Shay, M. A., Yang, Y., Wan, M., Wu, P., & Servidio, S. Exploring the statistics of magnetic reconnection X-points in kinetic particle-in-cell turbulence. United States. doi:10.1063/1.5001722.
Haggerty, C. C., Parashar, T. N., Matthaeus, W. H., Shay, M. A., Yang, Y., Wan, M., Wu, P., and Servidio, S. Tue . "Exploring the statistics of magnetic reconnection X-points in kinetic particle-in-cell turbulence". United States. doi:10.1063/1.5001722. https://www.osti.gov/servlets/purl/1497885.
@article{osti_1497885,
title = {Exploring the statistics of magnetic reconnection X-points in kinetic particle-in-cell turbulence},
author = {Haggerty, C. C. and Parashar, T. N. and Matthaeus, W. H. and Shay, M. A. and Yang, Y. and Wan, M. and Wu, P. and Servidio, S.},
abstractNote = {Magnetic reconnection is a ubiquitous phenomenon in turbulent plasmas. It is an important part of the turbulent dynamics and heating of space and astrophysical plasmas. We examine the statistics of magnetic reconnection using a quantitative local analysis of the magnetic vector potential, previously used in magnetohydrodynamics simulations, and now employed to fully kinetic particle-in-cell (PIC) simulations. Different ways of reducing the particle noise for analysis purposes, including multiple smoothing techniques, are explored. We find that a Fourier filter applied at the Debye scale is an optimal choice for analyzing PIC data. Lastly, we find a broader distribution of normalized reconnection rates compared to the MHD limit with rates as large as 0.5 but with an average of approximately 0.1.},
doi = {10.1063/1.5001722},
journal = {Physics of Plasmas},
number = 10,
volume = 24,
place = {United States},
year = {2017},
month = {9}
}

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Cited by: 8 works
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Figures / Tables:

TABLE I TABLE I: Parameters for different turbulent simulations. The simulation length in di (lx, ly), the grid spacing in di ($\Delta$x), the time step (Ω$-1\atop{ci}$ based on a uniform magnetic field of B0= 1), the speed of light $\frac{c}{c_A}$, the ion to electron mass ratio ($\frac{mi}{me}$), the number of particles permore » cell (ppc), the number of particles per Debye circle (N$_{λ_D}$ = $\pi$λ$^2_D$ ppc=($\Delta$ $\chi$)2 ), and the ion and electron plasma beta based on the mean magnetic field and initial mean temperatures.« less

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