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Two-way coupling of a global Hall magnetohydrodynamics model with a local implicit particle-in-cell model
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2014 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 268, 236-254 p.Article in journal (Refereed) Published
Abstract [en]

Computational models based on a fluid description of the plasma, such as magnetohydrodynamic (MHD) and extended magnetohydrodynamic (XMHD) codes are highly efficient, but they miss the kinetic effects due to the assumptions of small gyro radius, charge neutrality, and Maxwellian thermal velocity distribution. Kinetic codes can properly take into account the kinetic effects, but they are orders of magnitude more expensive than the fluid codes due to the increased degrees of freedom. If the fluid description is acceptable in a large fraction of the computational domain, it makes sense to confine the kinetic model to the regions where kinetic effects are important. This coupled approach can be much more efficient than a pure kinetic model. The speed up is approximately the volume ratio of the full domain relative to the kinetic regions assuming that the kinetic code uses a uniform grid. This idea has been advocated by [1] but their coupling was limited to one dimension and they employed drastically different grid resolutions in the fluid and kinetic models. We describe a fully two-dimensional two-way coupling of a Hall MHD model BATS-R-US with an implicit Particle-in-Cell (PIC) model iPIC3D. The coupling can be performed with identical grid resolutions and time steps. We call this coupled computational plasma model MHD-EPIC (MHD with Embedded PIC regions). Our verification tests show that MHD-EPIC works accurately and robustly. We show a two-dimensional magnetosphere simulation as an illustration of the potential future applications of MHD-EPIC.

Place, publisher, year, edition, pages
2014. Vol. 268, 236-254 p.
Keyword [en]
Plasma physics, MHD, PIC, Model coupling
National Category
Computer Science Physical Sciences
URN: urn:nbn:se:kth:diva-145565DOI: 10.1016/ 000334586800011ScopusID: 2-s2.0-84896955867OAI: diva2:724067
EU, FP7, Seventh Framework Programme, 263340

QC 20140612

Available from: 2014-06-12 Created: 2014-05-23 Last updated: 2014-06-12Bibliographically approved

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Gombosi, Tamas I.Markidis, Stefano
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High Performance Computing and Visualization (HPCViz)
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