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Gaussian process regression for density profile reconstruction from interferometry and reflectometry measurements

Abstract : Objective: development of the WEST data pre-processing tool using Bayesian methods for fitting the density profiles. Complete reconstruction of density profiles using interferometry and reflectometer measurements. Study the L-H transitions in the shot for a better understanding of physics behind pedestal Summary: Development of a user friendly function that deals with most profiles. Fitting and saving for $n_e$ from mixing btw reflectometer and interferometer. Possible L-H transition was observed in the shot 55564 and the formation of the pedestal is shown
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https://hal-cea.archives-ouvertes.fr/cea-03273919
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Submitted on : Tuesday, June 29, 2021 - 3:45:43 PM
Last modification on : Friday, September 17, 2021 - 1:57:30 PM
Long-term archiving on: : Thursday, September 30, 2021 - 7:08:56 PM

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M. Kozeiha, J. Morales, J.-F Artaud. Gaussian process regression for density profile reconstruction from interferometry and reflectometry measurements. 47th annual European Physical Society - Conference on Plasma Physics, EPS, Jun 2021, Sitges (E-Conference), Spain. ⟨cea-03273919⟩

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