论文标题
PIC模拟中粒子重采样的策略
Strategies for particle resampling in PIC simulations
论文作者
论文摘要
在粒子中的模拟中，由于量子电动力学的影响，在多产电离或级联成对产生过程中颗粒数量的增长可能导致过度甚至不可行的计算需求。在这里，我们讨论了如何组织集合的动态重排以减少宏颗粒的数量，同时保持对任意颗粒分布的可接受采样。讨论了合并和变薄及其变体的方法，并考虑了使用的各个方面。
In particle-in-cell simulations, excessive or even unfeasible computational demands can be caused by the growth of the number of particles in the course of prolific ionization or cascaded pair production due to the effects of quantum electrodynamics. Here we discuss how one can organize a dynamic rearrangement of the ensemble to reduce the number of macroparticles, while maintaining acceptable sampling of an arbitrary particle distribution. The approaches of merging and thinning as well as their variants are discussed and the aspects of use are considered.
