Phase space effects on fast ion distribution function modeling in tokamaks

Podesta, M. ; Gorelenkova, M. ; Fredrickson, E. D. ; Gorelenkov, N. N. ; White, R. B.
Issue date: 2016
Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Podesta, M., Gorelenkova, M., Fredrickson, E. D., Gorelenkov, N. N., & White, R. B. (2016). Phase space effects on fast ion distribution function modeling in tokamaks [Data set]. Princeton Plasma Physics Laboratory, Princeton University.
  author      = {Podesta, M. and
                Gorelenkova, M. and
                Fredrickson, E. D. and
                Gorelenkov, N. N. and
                White, R. B.},
  title       = {{Phase space effects on fast ion distribu
                tion function modeling in tokamaks}},
  publisher   = {{Princeton Plasma Physics Laboratory, Pri
                nceton University}},
  year        = 2016,
  url         = {}

Integrated simulations of tokamak discharges typically rely on classical physics to model energetic particle (EP) dynamics. However, there are numerous cases in which energetic particles can suffer additional transport that is not classical in nature. Examples include transport by applied 3D magnetic perturbations and, more notably, by plasma instabilities. Focusing on the effects of instabilities, ad-hoc models can empirically reproduce increased transport, but the choice of transport coefficients is usually somehow arbitrary. New approaches based on physics-based reduced models are being developed to address those issues in a simplified way, while retaining a more correct treatment of resonant wave-particle interactions. The kick model implemented in the tokamak transport code TRANSP is an example of such reduced models. It includes modifications of the EP distribution by instabilities in real and velocity space, retaining correlations between transport in energy and space typical of resonant EP transport. The relevance of EP phase space modifications by instabilities is first discussed in terms of predicted fast ion distribution. Results are compared with those from a simple, ad-hoc diffusive model. It is then shown that the phase-space resolved model can also provide additional insight into important issues such as internal consistency of the simulations and mode stability through the analysis of the power exchanged between energetic particles and the instabilities.

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