Grid instability growth rates for explicit, electrostatic momentum- and energy-conserving particle-in-cell algorithms
Luke C. Adams, Gregory R. Werner, John R. Cary; Grid instability growth rates for explicit, electrostatic momentum- and energy-conserving particle-in-cell algorithms. Phys. Plasmas 1 September 2025; 32 (9): 093905 When the Debye length is not resolved in a simulation using the most common particle-i...
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| Main Authors | , , |
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| Format | Journal Article |
| Language | English |
| Published |
16.09.2025
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| Subjects | |
| Online Access | Get full text |
| DOI | 10.48550/arxiv.2503.13697 |
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| Summary: | Luke C. Adams, Gregory R. Werner, John R. Cary; Grid instability growth rates for explicit, electrostatic momentum- and energy-conserving particle-in-cell algorithms. Phys. Plasmas 1 September 2025; 32 (9): 093905 When the Debye length is not resolved in a simulation using the most common particle-in-cell (PIC) algorithm, the plasma will unphysically heat until the Debye length becomes resolved via a phenomenon known as grid heating. This article presents detailed numerical measurements of grid heating for several explicit PIC algorithms including the first systematic (covering the Debye length resolution and drift-velocity parameter space) study of grid-heating growth rates for the most-common electrostatic momentum-conserving PIC algorithm. Additionally, we derive and test a cubic-spline-based PIC algorithm that ensures that the interpolated electric field has a continuous first derivative, but find that a differentiable electric field has minimal impact on grid-heating stability. Also considered are energy-conserving PIC algorithms with linear and quadratic interpolation functions. In all cases, we find that unphysical heating can occur for some combinations of Debye under-resolution and plasma drift. We demonstrate analytically and numerically that grid heating cannot be eliminated by using a higher-order field solve, and give an analytical expression for the cold-beam stability limits of some energy-conserving algorithms. |
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| DOI: | 10.48550/arxiv.2503.13697 |