2018
DOI: 10.1063/1.5024366
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Parametrization of reflectometry fluctuation frequency spectra for systematic study of fusion plasma turbulence

Abstract: We describe a way to parameterize power spectra extracted from fixed-frequency reflectometry data, with a view to systematic studies of turbulence properties in tokamak plasmas. Analysis of typical frequency spectra obtained from a new database suggests decomposition in a set of four key components: the direct current component, low-frequency fluctuations, broadband (BB) turbulence, and the noise level. For the decomposition in the identified components, different kinds of functions are tested and their fittin… Show more

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Cited by 4 publications
(8 citation statements)
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“…The positions of the probing zone were recovered using the density profiles provided by the interferometry lines inversion. The frequency spectra exhibit a classical shape with low frequency and broadband components [27,28]. Unlike the Ohmic phase, the LHCD phase contained an increase of 15-20 dB of the background ECE noise.…”
Section: Density Fluctuation Measurements and Tem Turbulencementioning
confidence: 97%
“…The positions of the probing zone were recovered using the density profiles provided by the interferometry lines inversion. The frequency spectra exhibit a classical shape with low frequency and broadband components [27,28]. Unlike the Ohmic phase, the LHCD phase contained an increase of 15-20 dB of the background ECE noise.…”
Section: Density Fluctuation Measurements and Tem Turbulencementioning
confidence: 97%
“…Using a new parametrization method 21 , we have built a large database with more than 300, 000 reflectometry frequency spectra. A number of dependencies of the spectra have been studied in Ohmic and L-mode plasmas.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…The details of the data analysis techniques used to parametrize the fluctuation frequency spectra from core reflectometry 22 can be found in Ref. 21. We briefly recall the main aspects here.…”
Section: A Decomposition and Fit Of Frequency Spectrummentioning
confidence: 99%
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