Numerical stability of relativistic beam multidimensional PIC simulations employing the Esirkepov algorithm
Brendan B. Godfrey, Jean-Luc Vay

TL;DR
This paper analyzes numerical instabilities in multidimensional relativistic PIC simulations, deriving a dispersion relation and proposing an alternative interpolation method to minimize these instabilities.
Contribution
It derives a dispersion relation for numerical instabilities in relativistic PIC simulations and introduces an alternative interpolation algorithm to significantly reduce instabilities.
Findings
Existence of specific time steps minimizing instabilities
Good agreement with previous WARP code results
Proposed interpolation method nearly eliminates instabilities at certain time steps
Abstract
Rapidly growing numerical instabilities routinely occur in multidimensional particle-in-cell computer simulations of plasma-based particle accelerators, astrophysical phenomena, and relativistic charged particle beams. Reducing instability growth to acceptable levels has necessitated higher resolution grids, high-order field solvers, current filtering, etc. except for certain ratios of the time step to the axial cell size, for which numerical growth rates and saturation levels are reduced substantially. This paper derives and solves the cold beam dispersion relation for numerical instabilities in multidimensional, relativistic, electromagnetic particle-in-cell programs employing either the standard or the Cole-Karkkainnen finite difference field solver on a staggered mesh and the common Esirkepov current-gathering algorithm. Good overall agreement is achieved with previously reported…
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Taxonomy
TopicsParticle Accelerators and Free-Electron Lasers · Magnetic confinement fusion research · Nuclear reactor physics and engineering
