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Kinetic‐diffusion asymptotic‐preserving Monte Carlo algorithms for plasma edge neutral simulation
Contributions to Plasma Physics ( IF 1.3 ) Pub Date : 2019-12-05 , DOI: 10.1002/ctpp.201900134
Bert Mortier 1 , Martine Baelmans 2 , Giovanni Samaey 2
Affiliation  

We developed novel Monte Carlo simulation strategies for the neutral model in plasma edge simulations where both low‐collisional and high‐collisional regimes are present. To maintain accuracy and reduce simulation costs in high‐collisional regimes, we use hybridized particles that exhibit both kinetic and diffusive behaviour depending on the local collisionality. The method maintains an asymptotically correct distribution and a correct mean, variance, and time correlation for all values of the collisionality. We apply this scheme to a fusion case with a strongly heterogeneous background, prompting the inclusion of a diffusion‐induced drift. Our numerical results show a large increase in efficiency at the expense of a minor bias.

中文翻译:

动力学扩散渐进保留蒙特卡罗算法,用于等离子体边缘中性模拟

我们针对存在低碰撞和高碰撞两种情况的等离子体边缘模拟中的中性模型开发了新颖的蒙特卡洛模拟策略。为了在高碰撞情况下保持精度并降低仿真成本,我们使用了根据局部碰撞性同时表现出动力学行为和扩散行为的杂化粒子。该方法为所有碰撞性值保持渐近正确的分布以及正确的均值,方差和时间相关性。我们将此方案应用于背景强烈异质的融合情况,促使包含扩散引起的漂移。我们的数值结果表明,效率的大幅提高是以较小的偏差为代价的。
更新日期:2019-12-05
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