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Effect of Statistical Noise on Simulation Results with a Plasma Fluid Code Coupled to a Monte Carlo Kinetic Neutral Code
Author(s) -
Marandet Y.,
Bufferand H.,
Ciraolo G.,
Genesio P.,
Meliga P.,
Rosato J.,
Serre E.,
Tamain P.
Publication year - 2016
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.201610009
Subject(s) - noise (video) , statistical physics , monte carlo method , code (set theory) , plasma , physics , turbulence , kinetic monte carlo , convergence (economics) , computer science , scaling , computational physics , mechanics , mathematics , nuclear physics , statistics , geometry , set (abstract data type) , artificial intelligence , economics , image (mathematics) , programming language , economic growth
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.