Numerical modeling of micro turbulence wave number spectra reconstruction using radial correlation reflectometry: I. O-mode reflectometry at the linear plasma density profile
Identifieur interne : 001D24 ( Main/Exploration ); précédent : 001D23; suivant : 001D25Numerical modeling of micro turbulence wave number spectra reconstruction using radial correlation reflectometry: I. O-mode reflectometry at the linear plasma density profile
Auteurs : N V Kosolapova [Russie, France] ; E Z Gusakov [Russie] ; S. Heuraux [France]Source :
- Plasma Physics and Controlled Fusion [ 0741-3335 ] ; 2012-03.
English descriptors
- Teeft :
- Analytical theory, Basic equations, Correlation length, Exponential function, Extrapolation procedure, Fourier, Frequency range, Gaussian, Gaussian spectrum, Gaussian turbulence, Gure, High noise level, Imaginary part, Imaginary parts, Input gaussian turbulence, Input turbulence, Kosolapova, Linear density, Linear plasma density, Long scale, Modeling, Noise level, Numerical computations, Numerical model, Numerical modeling, Numerical models, Perturbation theory methods, Phys, Plasma density, Plasma phys, Plasma size, Radial correlation, Random phase samples, Random phases, Real part, Reconstructed, Reconstructed spectrum, Reconstructed turbulence, Reference frequency, Reference frequency position, Reference position, Relative units, Same conditions, Simulation, Slow decay, Small angle, Small research tokamak, Small wave numbers, Solid line, Spectrum, Spectrum interval, Tokamak, Turbulence, Turbulence correlation length, Turbulence spectrum, Turbulence wave number spectrum, Uncorrelated noise, Vacuum wavelength, Wave number, Wave number interval, Wave number spectrum, Wave numbers, Wave propagation region width.
Abstract
Based on the one-dimensional analytical theory of radial correlation reflectometry (RCR), numerical models of RCR experiments have been built. Computations are carried out for O-mode at a simple linear plasma density profile under conditions relevant to experiments. The turbulence spectrum and cross correlation function reconstruction procedure is applied and its feasibility is demonstrated while the assumptions of the model are fulfilled. The limitations of the method are discussed. The numerical models of the RCR experiments, targeted at the reconstruction of the turbulence spectrum in tokamaks where the plasma density profile can be approximated by a linear density profile, are performed and show in most of the cases that the wave number spectra can be extracted. The RCR capabilities and dependences on the main experimental parameters are also studied.
Url:
DOI: 10.1088/0741-3335/54/3/035008
Affiliations:
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Henri Poincar, P2M Facult des Sciences, BP70239, F-54506 Vandoeuvre Cedex</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandoeuvre</settlement></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Plasma Physics and Controlled Fusion</title><idno type="ISSN">0741-3335</idno><idno type="eISSN">1361-6587</idno><imprint><publisher>IOP Publishing</publisher><date type="published" when="2012-03">2012-03</date><biblScope unit="volume">54</biblScope><biblScope unit="issue">3</biblScope></imprint><idno type="ISSN">0741-3335</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0741-3335</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Analytical theory</term><term>Basic equations</term><term>Correlation length</term><term>Exponential function</term><term>Extrapolation procedure</term><term>Fourier</term><term>Frequency range</term><term>Gaussian</term><term>Gaussian spectrum</term><term>Gaussian turbulence</term><term>Gure</term><term>High noise level</term><term>Imaginary part</term><term>Imaginary parts</term><term>Input gaussian turbulence</term><term>Input turbulence</term><term>Kosolapova</term><term>Linear density</term><term>Linear plasma density</term><term>Long scale</term><term>Modeling</term><term>Noise level</term><term>Numerical computations</term><term>Numerical model</term><term>Numerical modeling</term><term>Numerical models</term><term>Perturbation theory methods</term><term>Phys</term><term>Plasma density</term><term>Plasma phys</term><term>Plasma size</term><term>Radial correlation</term><term>Random phase samples</term><term>Random phases</term><term>Real part</term><term>Reconstructed</term><term>Reconstructed spectrum</term><term>Reconstructed turbulence</term><term>Reference frequency</term><term>Reference frequency position</term><term>Reference position</term><term>Relative units</term><term>Same conditions</term><term>Simulation</term><term>Slow decay</term><term>Small angle</term><term>Small research tokamak</term><term>Small wave numbers</term><term>Solid line</term><term>Spectrum</term><term>Spectrum interval</term><term>Tokamak</term><term>Turbulence</term><term>Turbulence correlation length</term><term>Turbulence spectrum</term><term>Turbulence wave number spectrum</term><term>Uncorrelated noise</term><term>Vacuum wavelength</term><term>Wave number</term><term>Wave number interval</term><term>Wave number spectrum</term><term>Wave numbers</term><term>Wave propagation region width</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Based on the one-dimensional analytical theory of radial correlation reflectometry (RCR), numerical models of RCR experiments have been built. Computations are carried out for O-mode at a simple linear plasma density profile under conditions relevant to experiments. The turbulence spectrum and cross correlation function reconstruction procedure is applied and its feasibility is demonstrated while the assumptions of the model are fulfilled. The limitations of the method are discussed. The numerical models of the RCR experiments, targeted at the reconstruction of the turbulence spectrum in tokamaks where the plasma density profile can be approximated by a linear density profile, are performed and show in most of the cases that the wave number spectra can be extracted. The RCR capabilities and dependences on the main experimental parameters are also studied.</div></front></TEI><affiliations><list><country><li>France</li><li>Russie</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Vandoeuvre</li></settlement></list><tree><country name="Russie"><noRegion><name sortKey="Kosolapova, N V" sort="Kosolapova, N V" uniqKey="Kosolapova N" first="N V" last="Kosolapova">N V Kosolapova</name></noRegion><name sortKey="Gusakov, E Z" sort="Gusakov, E Z" uniqKey="Gusakov E" first="E Z" last="Gusakov">E Z Gusakov</name></country><country name="France"><region name="Grand Est"><name sortKey="Kosolapova, N V" sort="Kosolapova, N V" uniqKey="Kosolapova N" first="N V" last="Kosolapova">N V Kosolapova</name></region><name sortKey="Heuraux, S" sort="Heuraux, S" uniqKey="Heuraux S" first="S" last="Heuraux">S. Heuraux</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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