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17 January 2011Statistical modeling of deconvolution procedures for improving the
resolution of measuring electron temperature profiles in tokamak
plasmas by Thomson scattering lidar
The potentialities are investigated, by statistical modeling, of deconvolution techniques for high-resolution restoration of
electron temperature profiles in fusion plasma reactors like Joint European Torus (JET) measured by Thomson scattering
lidar using the center-of-mass wavelength approach. The sensing laser pulse shape and the receiving-system response
function are assumed to be exponentially-shaped. The plasma light background influence is taken into account as well as
the Poisson fluctuations of the photoelectron number after the photocathode enhanced in the process of cascade
multiplying in the employed microchannel photomultiplier tube. It is shown that the Fourier-deconvolution of the
measured long-pulse (lidar-response-convolved) lidar profiles, at relatively high and low signal-to-noise ratios, ensures a
higher accuracy of recovering the electron temperature profiles with three times higher range resolution compared to the
case without deconvolution. The final resolution scale is determined by the width of the window of an optimum
monotone sharp-cutoff digital noise-suppressing (noise-controlling) filter applied to the measured lidar profiles.
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Tanja N. Dreischuh, Ljuan L. Gurdev, Dimitar V. Stoyanov, "Statistical modeling of deconvolution procedures for improving the resolution of measuring electron temperature profiles in tokamak plasmas by Thomson scattering lidar," Proc. SPIE 7747, 16th International School on Quantum Electronics: Laser Physics and Applications, 77470T (17 January 2011);