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A first approach toward Bayesian estimation of turbulent plasma properties from reflectometry

Grégoire Hornung (UGent) , Aqsa Shabbir (UGent) and Geert Verdoolaege (UGent)
(2016) FUSION SCIENCE AND TECHNOLOGY. 69(3). p.586-594
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Abstract
The possibility of inferring the properties of electron density fluctuations in tokamak plasmas from a reflectometer signal by means of Bayesian methods is investigated. Within the physical optics approximation, the interaction of the probing beam with the plasma is described as reflection from a surface with stochastic properties that is simulated numerically. A Bayesian technique is outlined to solve the inverse problem to determine the surface characteristics from the power spectrum of the reflectometer signal. It is shown that satisfactory estimates of the length and timescales and the amplitude of density fluctuations can be obtained in conditions relevant to core tokamak plasmas.
Keywords
reflectometry, Plasma turbulence, Bayesian probability theory, TRANSPORT, PHYSICS

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MLA
Hornung, Grégoire, et al. “A First Approach toward Bayesian Estimation of Turbulent Plasma Properties from Reflectometry.” FUSION SCIENCE AND TECHNOLOGY, vol. 69, no. 3, AMER NUCLEAR SOC, 2016, pp. 586–94.
APA
Hornung, G., Shabbir, A., & Verdoolaege, G. (2016). A first approach toward Bayesian estimation of turbulent plasma properties from reflectometry. FUSION SCIENCE AND TECHNOLOGY, 69(3), 586–594.
Chicago author-date
Hornung, Grégoire, Aqsa Shabbir, and Geert Verdoolaege. 2016. “A First Approach toward Bayesian Estimation of Turbulent Plasma Properties from Reflectometry.” FUSION SCIENCE AND TECHNOLOGY 69 (3): 586–94.
Chicago author-date (all authors)
Hornung, Grégoire, Aqsa Shabbir, and Geert Verdoolaege. 2016. “A First Approach toward Bayesian Estimation of Turbulent Plasma Properties from Reflectometry.” FUSION SCIENCE AND TECHNOLOGY 69 (3): 586–594.
Vancouver
1.
Hornung G, Shabbir A, Verdoolaege G. A first approach toward Bayesian estimation of turbulent plasma properties from reflectometry. FUSION SCIENCE AND TECHNOLOGY. 2016;69(3):586–94.
IEEE
[1]
G. Hornung, A. Shabbir, and G. Verdoolaege, “A first approach toward Bayesian estimation of turbulent plasma properties from reflectometry,” FUSION SCIENCE AND TECHNOLOGY, vol. 69, no. 3, pp. 586–594, 2016.
@article{8060090,
  abstract     = {The possibility of inferring the properties of electron density fluctuations in tokamak plasmas from a reflectometer signal by means of Bayesian methods is investigated. Within the physical optics approximation, the interaction of the probing beam with the plasma is described as reflection from a surface with stochastic properties that is simulated numerically. A Bayesian technique is outlined to solve the inverse problem to determine the surface characteristics from the power spectrum of the reflectometer signal. It is shown that satisfactory estimates of the length and timescales and the amplitude of density fluctuations can be obtained in conditions relevant to core tokamak plasmas.},
  author       = {Hornung, Grégoire and Shabbir, Aqsa and Verdoolaege, Geert},
  issn         = {1536-1055},
  journal      = {FUSION SCIENCE AND TECHNOLOGY},
  keywords     = {reflectometry,Plasma turbulence,Bayesian probability theory,TRANSPORT,PHYSICS},
  language     = {eng},
  location     = {Nice, FRANCE},
  number       = {3},
  pages        = {586--594},
  publisher    = {AMER NUCLEAR SOC},
  title        = {A first approach toward Bayesian estimation of turbulent plasma properties from reflectometry},
  url          = {http://dx.doi.org/10.13182/FST15-192},
  volume       = {69},
  year         = {2016},
}

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