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Clearing the road for high-fidelity fast ion simulations in full three dimensions

Published online by Cambridge University Press:  18 December 2018

T. Kurki-Suonio*
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
K. Särkimäki
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
J. Varje
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
S. Äkäslompolo
Affiliation:
Max-Planck-Institut für Plasmaphysik, Teilinstitut Greifswald, D-17491, Germany
J. Kontula
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
P. Ollus
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
M. Bécoulet
Affiliation:
CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France
L. Chôné
Affiliation:
Department of Applied Physics, Aalto University, FI-00076 AALTO, Finland
Y. Liu
Affiliation:
General Atomics, San Diego, CA 92121, USA
P. Vincenzi
Affiliation:
Consorzio RFX, I-35127 Padova, Italy
*
Email address for correspondence: taina.kurki-suonio@aalto.fi

Abstract

High-energy ions, such as fusion alphas and ions from external heating, can be very sensitive to any non-axisymmetric features in the confining magnetic field due to their collisionless nature. Since understanding the confinement properties of these ions is crucial for ITER (the first fusion reactor currently under construction in Cadarache, France) and beyond, it is of ultimate importance that the predictive simulations are accurate and free of numerical distortions. Adding the third dimension comes at substantial computational cost, calling for new kinds of approaches and computational platforms. In this contribution we discuss what new features, even new physics, the non-axisymmetry brings with it and how one could cope with the ever-increasing demands on both memory and CPU resources. In the end, a few simulation examples with a varying level of non-axisymmetry are given.

Keywords

Type
Research Article
Copyright
© Cambridge University Press 2018 

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References

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