Coarse-grained Monte Carlo simulation of excitation and ionization collisions

Hai P. Le, Bokai Yan, Russel E. Caflisch, Jean Luc Cambier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. Direct numerical simulation of these collisions using Monte Carlo method requires a large number of samples to resolve all the fast collisional time scales, which is often not necessary and make the simulation very inefficient. In this paper, we present a coarse-graining method to reduce the complexity of detailed excitation and ionization kinetics. The method is then applied to the standard Monte Carlo collision algorithm for simulating a partially ionized Hydrogen plasma. We show that the computational cost can be reduced at minimal loss of accuracy.

Original languageEnglish (US)
Title of host publication30th International Symposium on Rarefied Gas Dynamics, RGD 2016
EditorsHenning Struchtrup, Andrew Ketsdever
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414488
DOIs
StatePublished - Nov 15 2016
Event30th International Symposium on Rarefied Gas Dynamics, RGD 2016 - Victoria, Canada
Duration: Jul 10 2016Jul 15 2016

Publication series

NameAIP Conference Proceedings
Volume1786
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other30th International Symposium on Rarefied Gas Dynamics, RGD 2016
CountryCanada
CityVictoria
Period7/10/167/15/16

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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  • Cite this

    Le, H. P., Yan, B., Caflisch, R. E., & Cambier, J. L. (2016). Coarse-grained Monte Carlo simulation of excitation and ionization collisions. In H. Struchtrup, & A. Ketsdever (Eds.), 30th International Symposium on Rarefied Gas Dynamics, RGD 2016 [150013] (AIP Conference Proceedings; Vol. 1786). American Institute of Physics Inc.. https://doi.org/10.1063/1.4967654