Saturation of Alfven modes in tokamaks

White, R. ; Gorelenkov, N. ; Gorelenkova, M. ; Podesta, M. ; Ethier, S. ; Chen, Y.
Issue date: 2016
Cite as:
White, R., Gorelenkov, N., Gorelenkova, M., Podesta, M., Ethier, S., & Chen, Y. Saturation of Alfven modes in tokamaks [Data set]. Princeton Plasma Physics Laboratory, Princeton University. https://doi.org/10.11578/1366751
@electronic{white_r_unknown,
  author      = {White, R. and
                Gorelenkov, N. and
                Gorelenkova, M. and
                Podesta, M. and
                Ethier, S. and
                Chen, Y.},
  title       = {{Saturation of Alfven modes in tokamaks}},
  publisher   = {{Princeton Plasma Physics Laboratory, Pri
                nceton University}},
  url         = {https://doi.org/10.11578/1366751}
}
Description:

Growth of Alfven modes driven unstable by a distribution of high energy particles up to saturation is investigated with a guiding center code, using numerical eigenfunctions produced by linear theory and a numerical high energy particle distribution, in order to make detailed comparison with experiment and with models for saturation amplitudes and the modification of beam profiles. Two innovations are introduced. First, a very noise free means of obtaining the mode-particle energy and momentum transfer is introduced, and secondly, a spline representation of the actual beam particle distribution is used.

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# Filename Filesize
1 deltaf.tar 40.1 MB
2 readme.txt 1.19 KB
More about this record
Authors White, R. (Princeton Plasma Physics Laboratory)
Gorelenkov, N. (Princeton Plasma Physics Laboratory)
Gorelenkova, M. (Princeton Plasma Physics Laboratory)
Podesta, M. (Princeton Plasma Physics Laboratory)
Ethier, S. (Princeton Plasma Physics Laboratory)
Chen, Y.
Domains Natural Sciences
Communities Princeton Plasma Physics Laboratory
Subcommunities NSTX, Spherical Torus
Issue date 2016
URI https://doi.org/10.11578/1366751
URI http://arks.princeton.edu/ark:/88435/dsp01np193c61s
Publisher Princeton Plasma Physics Laboratory, Princeton University
Type Dataset
Funders United States Department of Energy, DE-AC02-09CH11466
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