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Effect of Statistical Noise on Simulation Results with a Plasma Fluid Code Coupled to a Monte Carlo Kinetic Neutral Code

Authors :
Philippe Meliga
Joël Rosato
P. Genesio
Yannick Marandet
Patrick Tamain
Hugo Bufferand
Eric Serre
Guido Ciraolo
Source :
Contributions to Plasma Physics. 56:604-609
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

Power exhaust is one of the major challenges that future devices such as ITER and DEMO will face. Because of the lack of identified scaling parameters, predictions for divertor plasma conditions in these devices have to rely on detailed modelling. Most plasma edge simulations carried out so far rely on transport codes, which most of the times consist of a fluid code for the plasma coupled to a kinetic Monte Carlo (MC) code for neutral particles. One of the main difficulties in interpreting code results is the statistical noise from the MC procedure, which makes it difficult to define a convergence criterion for the simulations. In this work, we elaborate on similarities between noisy transport code simulations and turbulence simulations, and argue that the time averaged solution is a well defined stationary solution for the system. We illustrate these ideas with a simple slab test case with fluid neutrals, to which we add synthetic noise. In this case, the effects of noise are found to be significant only at high noise levels and for large enough correlations times.

Details

ISSN :
08631042
Volume :
56
Database :
OpenAIRE
Journal :
Contributions to Plasma Physics
Accession number :
edsair.doi...........686c9980234ce74976f0b099e22a1673
Full Text :
https://doi.org/10.1002/ctpp.201610009