4.7 Article

Non-uniform splines for semi-Lagrangian kinetic simulations of the plasma sheath

期刊

JOURNAL OF COMPUTATIONAL PHYSICS
卷 488, 期 -, 页码 -

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ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2023.112229

关键词

Semi-Lagrangian scheme; B-splines; Non-equidistant meshes; Vlasov-Poisson equations; Plasma sheath simulation; GPUs

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Numerical methods based on non-uniform splines of varying degrees are used to simulate the plasma sheath in this study. A new well-conditioned method and the construction of a simulation grid from non-uniform knots are proposed to improve precision and reduce memory requirements. The non-uniform simulations using GPU parallelization achieve a 5.5 times speedup compared to uniform simulations.
Numerical methods based on non-uniform splines of varying degrees are used to run kinetic semi-Lagrangian simulations of the plasma sheath. The sheath describes a region of plasma in contact with a wall, acting as a heat, momentum, and particle bath. The latter regulates the current loss and consequently the electric field. At micro scale it then influences the development of plasma turbulence and at a larger scale plasma rotation. However this region is particularly difficult to simulate, due to its kinetic nature and the presence of steep gradients requiring fine numerical resolution. In this work, a new well -conditioned method for determining the coefficients for Schoenberg's best quadrature is presented, providing improved precision compared to a naive approach based on b-spline derivatives (4 extra significant figures of precision are obtained for coefficients of the fifth order scheme). The construction of a simulation grid from Greville abcissae of judiciously chosen non-uniform knots is shown to reduce the memory requirements by 89% for the simulation presented. Cubic splines are found to provide a good compromise between fast convergence and controlled oscillations preserving positivity. Despite the reduction in performance associated with using non-uniform spline schemes, effective parallelisation through the use of GPUs leads to non-uniform simulations running 5.5 times faster than uniform simulations providing equivalent results. & COPY; 2023 Elsevier Inc. All rights reserved.

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