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Implementation and application of two synthetic diagnostics for validating simulations of core tokamak turbulence
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10.1063/1.3085792
/content/aip/journal/pop/16/5/10.1063/1.3085792
http://aip.metastore.ingenta.com/content/aip/journal/pop/16/5/10.1063/1.3085792

Figures

Image of FIG. 1.
FIG. 1.

Equilibrium profiles and inverse scale lengths for shot 128913 averaged over 1300–1700 ms. Profiles shown are (a) electron density , (c) electron temperature (keV), (e) ion temperature (keV), (g) and radial electric field along the outboard midplane (kV/m). Inverse scale lengths calculated as are shown for (b) , (d) , and (f) . The Hahm–Burrell shearing rate is plotted in (h) in units of krad/s.

Image of FIG. 2.
FIG. 2.

Experimental energy flows , and neutral-beam-driven electron particle flow calculated via ONETWO for (a) and (b) 0.75. Note that the beam-driven particle flow is two orders of magnitude smaller than the energy flows. Ion energy flows are shown in black (—), the electron energy in red (– – –), and the electron particle flow in blue (⋯).

Image of FIG. 3.
FIG. 3.

Time traces of GYRO flux-surface averaged energy and electron particle flows for (a) and (b) 0.75. Ion energy flows are shown in black (—), the electron energy in red (– – –), and the electron particle flow in blue (⋯).

Image of FIG. 4.
FIG. 4.

Power spectral densities of turbulent flows predicted by GYRO for (a) and (b) 0.75. Ion energy flows are shown in black (●), the electron energy in red (◼), and the electron particle flux in blue (◆).

Image of FIG. 5.
FIG. 5.

Overlays of BES PSFs (in white) on contours of electron density fluctuations at (a) and (b) 0.75. The diamonds represent the locations of each of the 30 BES channels, and 50% contours of the PSFs for the top two channels of the middle column at each location are plotted. [From Holland et al., J. Phys.: Conf. Ser. 125, 012043 (2008). Reprinted by permission of IOP Publishing.]

Image of FIG. 6.
FIG. 6.

Overlays of CECE PSFs (in white) on contours of electron temperature fluctuations at (a) and (b) 0.75. The diamonds represent the locations of each of the CECE channels, and 50% contours of the PSFs for both channels are plotted. [From Holland et al., J. Phys.: Conf. Ser. 125, 012043 (2008). Reprinted by permission of IOP Publishing.]

Image of FIG. 7.
FIG. 7.

Comparison of laboratory-frame frequency spectra using a 22 kHz resolution for the simulation spectra. Density fluctuation spectra are shown in (a) and electron temperature in (b). Autopower spectra of the unfiltered simulation data are plotted as dashed black lines (- - -), along with cross-power spectra of the unfiltered GYRO data in black (—), synthetic GYRO data in red (−), and experimental data in blue (−). [From Holland et al., J. Phys.: Conf. Ser. 125, 012043 (2008). Reprinted by permission of IOP Publishing.]

Image of FIG. 8.
FIG. 8.

Comparison of laboratory-frame frequency spectra using a 5 kHz resolution for the simulation spectra. Density fluctuation spectra are shown in (a) and electron temperature in (b) using the same labeling as in Fig. 7. The locations of the real frequencies of the fastest growing mode at each simulated wavenumber are indicated with solid black circles (●).

Image of FIG. 9.
FIG. 9.

Comparison of cross-power spectra of unfiltered simulation signals at with 5 kHz resolution from a simulation with (−) and (—). Density fluctuation spectra are shown in (a) and electron temperature in (b). [From Holland et al., J. Phys.: Conf. Ser. 125, 012043 (2008). Reprinted by permission of IOP Publishing.]

Image of FIG. 10.
FIG. 10.

Comparison of laboratory-frame frequency spectra using a 30 kHz resolution for the simulation spectra. Density fluctuation spectra are shown in (a) and electron temperature in (b) using the same labeling as in Fig. 7. Cross-power spectra of the synthetic GYRO data renomalized to contain the same power as experiment between 40 and 400 kHz is shown in purple (–). [From Holland et al., J. Phys.: Conf. Ser. 125, 012043 (2008). Reprinted by permission of IOP Publishing.]

Image of FIG. 11.
FIG. 11.

Comparison of density fluctuation vertical correlation functions calculated for the unfiltered GYRO data (●), the synthetic BES data (◼), and experimental data (◆) at (a) and (b) 0.75.

Image of FIG. 12.
FIG. 12.

Comparison of density fluctuation radial correlation functions calculated for the unfiltered GYRO data (●), the synthetic BES data (◼), and experimental data (◆) at (a) and (b) 0.75.

Tables

Generic image for table
Table I.

Local parameters at and . Normalizations and definitions used correspond to those used by GYRO.

Generic image for table
Table II.

Comparison of experimental and GYRO-simulated flows at .

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Table III.

Comparison of experimental and GYRO-simulated flows at .

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Table IV.

Comparison of rms fluctuation levels at .

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Table V.

Comparison of rms fluctuation levels at .

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Table VI.

Comparison of fitted values to vertical correlation functions.

Generic image for table
Table VII.

Comparison of fitted values to radial correlation functions.

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2009-05-01
2014-04-24
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Implementation and application of two synthetic diagnostics for validating simulations of core tokamak turbulence
http://aip.metastore.ingenta.com/content/aip/journal/pop/16/5/10.1063/1.3085792
10.1063/1.3085792
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