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Plasma 2018, 1(1), 90-104; https://doi.org/10.3390/plasma1010009

Improvement of the Multi-Hierarchy Simulation Model Based on the Real-Space Decomposition Method

1
National Institute for Fusion Science, National Institutes of Natural Sciences, Toki, Gifu 509-5292, Japan
2
Department of Fusion Science, SOKENDAI (The Graduate University for Advanced Studies), Toki, Gifu 509-5292, Japan
3
National Institute of Information and Communications Technology, Koganei, Tokyo 184-8795, Japan
*
Author to whom correspondence should be addressed.
Received: 1 March 2018 / Revised: 23 April 2018 / Accepted: 25 April 2018 / Published: 27 April 2018
(This article belongs to the Special Issue Multiscale Methods in Plasma Physics)
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Abstract

Multi-hierarchy simulation models aimed at analysis of magnetic reconnection were developed. Based on the real-space decomposition method, the simulation domain consists of three parts: a magnetohydrodynamics (MHD) domain, a particle-in-cell (PIC) domain, and an interface domain to communicate MHD and PIC data. In this paper, the previous model (the 1D interlocking with the upstream condition) by the authors is improved to three types of new models, i.e., two types of the 1D interlocking with the downstream condition and one type of the 2D interlocking with the upstream condition. For their verification, simulations of plasma propagation across the multiple domains were performed in the multi-hierarchy models, and it was confirmed that the new interlocking methods are physically correct. View Full-Text
Keywords: multi-hierarchy; particle-in-cell (PIC); magnetohydrodynamics (MHD) multi-hierarchy; particle-in-cell (PIC); magnetohydrodynamics (MHD)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Usami, S.; Horiuchi, R.; Ohtani, H.; Den, M. Improvement of the Multi-Hierarchy Simulation Model Based on the Real-Space Decomposition Method. Plasma 2018, 1, 90-104.

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