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Numerical stability of relativistic beam multidimensional PIC simulations employing the Esirkepov algorithm

机译:相对论梁多维pIC的数值稳定性   使用Esirkepov算法的模拟

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摘要

Rapidly growing numerical instabilities routinely occur in multidimensionalparticle-in-cell computer simulations of plasma-based particle accelerators,astrophysical phenomena, and relativistic charged particle beams. Reducinginstability growth to acceptable levels has necessitated higher resolutiongrids, high-order field solvers, current filtering, etc. except for certainratios of the time step to the axial cell size, for which numerical growthrates and saturation levels are reduced substantially. This paper derives andsolves the cold beam dispersion relation for numerical instabilities inmultidimensional, relativistic, electromagnetic particle-in-cell programsemploying either the standard or the Cole-Karkkainnen finite difference fieldsolver on a staggered mesh and the common Esirkepov current-gatheringalgorithm. Good overall agreement is achieved with previously reported resultsof the WARP code. In particular, the existence of select time steps for whichinstabilities are minimized is explained. Additionally, an alternative fieldinterpolation algorithm is proposed for which instabilities are almostcompletely eliminated for a particular time step in ultra-relativisticsimulations.
机译:快速增长的数值不稳定性通常发生在基于粒子的粒子加速器,天体物理学现象和相对论带电粒子束的多维粒子内计算机模拟中。将不稳定性的增长降低到可接受的水平需要更高分辨率的网格,高阶场求解器,电流滤波等,除了轴向单元尺寸的时间步长的某些比例外,其数值增长率和饱和度水平会大大降低。本文采用交错网格上的标准或Cole-Karkkainnen有限差分场解算器以及常见的Esirkepov电流收集算法,在多维,相对论,电磁粒子单元程序中,针对数值不稳定性推导并求解了冷束色散关系。与先前报告的WARP代码结果达成了良好的总体协议。特别地,解释了选择时间步长的存在,对于这些选择时间步长的不稳定性被最小化。另外,提出了一种替代的场内插算法,对于超相对论模拟中的特定时间步,几乎可以完全消除不稳定性。

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