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

机译:使用Esirkepov算法的相对论光束多维PIC仿真的数值稳定性

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摘要

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 results of the WARP code. In particular, the existence of select time steps for which instabilities are minimized is explained. Additionally, an alternative field interpolation algorithm is proposed for which instabilities are almost completely eliminated for a particular time step in ultra-relativistic simulations.
机译:快速增长的数值不稳定性通常发生在基于等离子体的粒子加速器,天体物理学现象和相对论性带电粒子束的多维粒子内计算机模拟中。为了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,但时间步长与轴向像元大小的某些比率除外,因为它们的数值增长率和饱和度会大大降低。本文采用交错网格上的标准或Cole-Karkkainnen有限差分场求解器和通用Esirkepov电流收集算法,推导并解决了多维,相对论,电磁粒子单元程序中数值不稳定性的冷束色散关系。 。与先前报告的WARP代码结果达成了良好的总体协议。特别地,说明了选择时间步长的不稳定性最小化。此外,提出了一种替代的场插值算法,对于超相对论模拟中的特定时间步长,几乎可以完全消除不稳定性。

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