Two statistical particle split and merge methods for Particle-in-Cell codes
Two statistical particle split and merge methods for Particle-in-Cell codes
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DOI：
10.1016/j.cpc.2015.01.010
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
M. Pfeiffer;A. Mirza;C. Munz;S. Fasoulas
中科院分区：
文献类型：
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作者：
M. Pfeiffer;A. Mirza;C. Munz;S. Fasoulas
提出了两种新的电磁粒子网格程序的粒子分裂和合并方法。它们基于统计方法，旨在保持质量，动量和能量。此外，这些值和速度分布函数的正确的空间分辨率被再现。结果表明，分裂和合并前后的电荷密度和电流密度基本一致。此外，速度分布函数的重建进行了演示。新的方法可能会导致显着减少的计算工作量和内存消耗，这是示范性地证明了流光放电形成的3D模拟。
Two new particle split and merge methods are presented for electromagnetic Particle-in-Cell codes. They are based on a statistical approach and are designed to conserve mass, momentum and energy. In addition, the correct spatial resolution of these values and the velocity distribution functions are reproduced. It is shown that charge and current densities before and after splitting and merging are in a good agreement. Furthermore, the reconstruction of the velocity distribution function is demonstrated. The new methods may lead to significantly reduced computational effort and memory consumptions which are exemplarily demonstrated by the 3D simulation of a streamer discharge formation.