Exact and locally implicit source term solvers for multifluid-Maxwell systems

• Published in: Journal of computational physics Vol. 415
• Main Authors: Wang, Liang, Hakim, Ammar H., Ng, Jonathan, Dong, Chuanfei, Germaschewski, Kai
• Format: Journal Article
• Language: English
• Published: United States Elsevier 06.05.2020
• Subjects: 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Five-Moment; Implicit source term; Multifluid plasma model; Ten-Moment
• ISSN: 0021-9991; 1090-2716

Recently, a family of models that couple multifluid systems to the full Maxwell equations have been used in laboratory, space, and astrophysical plasma modeling. These models are more complete descriptions of the plasma than reduced models like magnetohydrodynamic (MHD) since they are derived more closely from the full kinetic Vlasov-Maxwell system, without assumptions like quasi-neutrality, negligible electron mass, etc. Thus these models naturally retain non-ideal MHD effects like electron inertia, Hall term, pressure anisotropy/nongyrotropy, displacement current, among others. One obstacle to broader application of these model is that an explicit treatment of their source terms leads to the need to resolve rapid processes like plasma oscillation and electron cyclotron motion, even when these are not important. In this paper, we suggest two ways to address this issue. First, we derive the analytic solutions to the source update equations, which can be implemented as a practical, but less generic solver. We then develop a time-centered, locally implicit algorithm to update the source terms, allowing stepping over the fast kinetic time-scales. For a plasma with S species, the locally implicit algorithm involves inverting a local (3S + 3) × (3S + 3) matrix only, thus is very efficient. The performance can be further increased by using the direct update formulas to skip null calculations. In this paper, we present benchmarks illustrating the exact energy-conservation of the locally implicit solver, as well as its efficiency and robustness for both small-scale, idealized problems and largescale, complex systems. The locally implicit algorithm can be also easily extended to include other local sources, like collisions and ionization, which are difficult to solve analytically.