Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4967270 | Journal of Computational Physics | 2017 | 17 Pages |
Abstract
Kinetic simulation of plasmas with detailed excitation and ionization collisions presents a significant computational challenge due to the multiscale feature of the collisional rates. In the present work, we propose a complexity reduction method based on atomic level grouping for modeling excitation and ionization collisions. High order of accuracy of the reduction method is realized by allowing an internal distribution within each group. We apply the reduction method to the standard Monte Carlo collision algorithm to model an atomic Hydrogen plasma. Numerical results suggest that the stiffness of the collisional kinetics can be significantly reduced with minimal loss in accuracy.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Hai P. Le, Bokai Yan, Russel E. Caflisch, Jean-Luc Cambier,