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Grid coupling mechanism in the semi-implicit adaptive Multi-Level Multi-Domain method
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0003-0639-0639
2016 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 719, no 1, 12019Article in journal (Refereed) Published
Abstract [en]

The Multi-Level Multi-Domain (MLMD) method is a semi-implicit adaptive method for Particle-In-Cell plasma simulations. It has been demonstrated in the past in simulations of Maxwellian plasmas, electrostatic and electromagnetic instabilities, plasma expansion in vacuum, magnetic reconnection [1, 2, 3]. In multiple occasions, it has been commented on the coupling between the coarse and the refined grid solutions. The coupling mechanism itself, however, has never been explored in depth. Here, we investigate the theoretical bases of grid coupling in the MLMD system. We obtain an evolution law for the electric field solution in the overlap area of the MLMD system which highlights a dependance on the densities and currents from both the coarse and the refined grid, rather than from the coarse grid alone: grid coupling is obtained via densities and currents.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2016. Vol. 719, no 1, 12019
Keyword [en]
Electric fields, Magnetoplasma, Numerical models, Plasma devices, Plasma diagnostics, Plasma flow, Plasma jets, Adaptive methods, Coupling mechanism, Electric field solution, Electromagnetic instability, Magnetic reconnections, Maxwellian plasmas, Particle-in-cell plasma simulations, Plasma expansion
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-194562DOI: 10.1088/1742-6596/719/1/012019ISI: 000386617200019ScopusID: 2-s2.0-84978044144OAI: diva2:1043711
10th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2015, Avignon, France, 8 June 2015 through 12 June 2015

QC 20161031

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-11-29Bibliographically approved

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Markidis, Stefano
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Computational Science and Technology (CST)
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