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Effects of plasma shaping on nonlinear gyrokinetic turbulence
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10.1063/1.2972160
/content/aip/journal/pop/15/9/10.1063/1.2972160
http://aip.metastore.ingenta.com/content/aip/journal/pop/15/9/10.1063/1.2972160
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

TRANSP analysis of the experimental data from JET ELMy shot 52979, : the radial variation of the elongation , triangularity , electron and hydrogenic ion temperatures, and electron and deuterium densities. The dotted vertical lines mark zone 75.

Image of FIG. 2.
FIG. 2.

Neighboring flux surface shapes for representative JET-like plasmas. The case corresponds to the original experimental JET zone 75 equilibrium.

Image of FIG. 3.
FIG. 3.

Real frequency and linear growth rate vs elongation comparing zero triangularity and triangularity varied with , as well as comparing constant radial gradient and radial gradient varied with .

Image of FIG. 4.
FIG. 4.

Curvature drift frequency as a function of computed using the Miller formalism for JET-based plasma input parameters. corresponds to drifts in the bad-curvature direction.

Image of FIG. 5.
FIG. 5.

Normalized perpendicular wave number squared as a function of computed using the Miller formalism for JET-based plasma input parameters. FLR averaging becomes important when .

Image of FIG. 6.
FIG. 6.

Real frequency and linear growth rate vs temperature gradient scale length. The solid lines correspond to results from varying triangularity with , while the dashed lines correspond to zero triangularity.

Image of FIG. 7.
FIG. 7.

Ion and electron heat fluxes vs elongation comparing zero triangularity and triangularity varied with , as well as comparing constant radial gradient and radial gradient varied with . The dotted lines show the empirical scalings , , and .

Image of FIG. 8.
FIG. 8.

Inverse heat flux vs (assuming triangularity varies with ) for various experimentally-based empirical scaling laws; namely, the standard IPB98(y,2) H-mode scaling for [“”] and for [“”] and the standard Error in Variables scaling [“”]. For comparison, the scalings of and (observed in our GS2 simulations) are shown.

Image of FIG. 9.
FIG. 9.

Ion and electron heat fluxes vs temperature gradient scale length for triangularity varied with .

Image of FIG. 10.
FIG. 10.

Time evolution of the amplitude of the zonal flows for the JET-based circular case computed using GS2 with an initial external potential . The dashed line shows the Rosenbluth-Hinton prediction for the saturated potential for these parameters.

Image of FIG. 11.
FIG. 11.

Amplitude of the Rosenbluth-Hinton residual zonal flows vs elongation comparing triangularity and its radial gradient varied with , zero triangularity, and triangularity varied with with zero triangularity radial gradient. The data points are the GS2 results, the solid lines are our model prediction, and the dashed lines are the analytic model of Xiao and Catto (with ).

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/content/aip/journal/pop/15/9/10.1063/1.2972160
2008-09-12
2014-04-18
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Effects of plasma shaping on nonlinear gyrokinetic turbulence
http://aip.metastore.ingenta.com/content/aip/journal/pop/15/9/10.1063/1.2972160
10.1063/1.2972160
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