Journal of American Science, ( ISI ), Volume (6), No (10), Year (2010-10) , Pages (623-628)

Title : ( Optimum Choice of NGP, CIC and QS Algorithms in One Dimensional Electrostatic Particle Simulations )

Authors: Ali Peiravi ,

Citation: BibTeX | EndNote

Several algorithms of different order and complexity are available for particle simulations. In this study, the actual results of measurements of self heating times as a measure of accuracy of a single species one dimensional electrostatic simulation of thermal plasmas are presented using zero order weightings (NGP), linear weighting (CIC), and quadratic spline (QS) weighting. Optimal range of parameters is found to be along for zero order weightings and for linear and quadratic spline weighting. Considerable increase in self heating time is achieved through truncation in k-space. The results are useful in the optimum choice of simulation algorithm and indicate that using a higher order simulation algorithm is highly recommended, especially when k-space truncation is used.

Keywords

, Plasma simulation, self heating times, choice of simulation algorithm, NGP, CIC,
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@article{paperid:1018473,
author = {Peiravi, Ali},
title = {Optimum Choice of NGP, CIC and QS Algorithms in One Dimensional Electrostatic Particle Simulations},
journal = {Journal of American Science},
year = {2010},
volume = {6},
number = {10},
month = {October},
issn = {1545-1003},
pages = {623--628},
numpages = {5},
keywords = {Plasma simulation; self heating times; choice of simulation algorithm; NGP; CIC; QS},
}

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%0 Journal Article
%T Optimum Choice of NGP, CIC and QS Algorithms in One Dimensional Electrostatic Particle Simulations
%A Peiravi, Ali
%J Journal of American Science
%@ 1545-1003
%D 2010

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