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Accuracy and convergence with coupled finite‐volume Monte Carlo codes for time‐dependent plasma edge simulations
Author(s) -
Ghoos Kristel,
Samaey Giovanni,
Baelmans Martine
Publication year - 2019
Publication title -
contributions to plasma physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.531
H-Index - 47
eISSN - 1521-3986
pISSN - 0863-1042
DOI - 10.1002/ctpp.201900126
Subject(s) - convergence (economics) , enhanced data rates for gsm evolution , monte carlo method , computer science , finite volume method , code (set theory) , statistical physics , algorithm , mathematics , physics , mechanics , set (abstract data type) , telecommunications , statistics , economics , economic growth , programming language
With state‐of‐the‐art plasma edge codes, which consist of coupled finite‐volume (FV) Monte Carlo (MC) codes, it is challenging to obtain accurate results for time‐dependent simulations in a feasible computational time. For steady‐state simulations, it has been recently demonstrated that the speed and accuracy can be drastically improved by choosing more suitable numerical parameters and including post‐processing averaging. This article extends the methodology for accuracy assessment to time‐dependent simulations. For a simplified one‐dimensional (1D) plasma edge model, we compare the numerical accuracy of solutions obtained with an implicit approach, where the code system is fully solved in each time step, to those with a mixed implicit/explicit approach, where only the FV code is converged in each time step. We demonstrate the importance of choosing the numerical parameters adequately in both approaches.