TY - JOUR
T1 - Gaussian process tomography for soft x-ray spectroscopy at WEST without equilibrium information
AU - Wang, T.
AU - Mazon, D.
AU - Svensson, J.
AU - Li, D.
AU - Jardin, A.
AU - Verdoolaege, G.
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/6/1
Y1 - 2018/6/1
N2 - Gaussian process tomography (GPT) is a recently developed tomography method based on the Bayesian probability theory [J. Svensson, JET Internal Report EFDA-JET-PR(11)24, 2011 and Li et al., Rev. Sci. Instrum. 84, 083506 (2013)]. By modeling the soft X-ray (SXR) emissivity field in a poloidal cross section as a Gaussian process, the Bayesian SXR tomography can be carried out in a robust and extremely fast way. Owing to the short execution time of the algorithm, GPT is an important candidate for providing real-time reconstructions with a view to impurity transport and fast magnetohydrodynamic control. In addition, the Bayesian formalism allows quantifying uncertainty on the inferred parameters. In this paper, the GPT technique is validated using a synthetic data set expected from the WEST tokamak, and the results are shown of its application to the reconstruction of SXR emissivity profiles measured on Tore Supra. The method is compared with the standard algorithm based on minimization of the Fisher information.
AB - Gaussian process tomography (GPT) is a recently developed tomography method based on the Bayesian probability theory [J. Svensson, JET Internal Report EFDA-JET-PR(11)24, 2011 and Li et al., Rev. Sci. Instrum. 84, 083506 (2013)]. By modeling the soft X-ray (SXR) emissivity field in a poloidal cross section as a Gaussian process, the Bayesian SXR tomography can be carried out in a robust and extremely fast way. Owing to the short execution time of the algorithm, GPT is an important candidate for providing real-time reconstructions with a view to impurity transport and fast magnetohydrodynamic control. In addition, the Bayesian formalism allows quantifying uncertainty on the inferred parameters. In this paper, the GPT technique is validated using a synthetic data set expected from the WEST tokamak, and the results are shown of its application to the reconstruction of SXR emissivity profiles measured on Tore Supra. The method is compared with the standard algorithm based on minimization of the Fisher information.
UR - https://www.scopus.com/pages/publications/85048587204
U2 - 10.1063/1.5023162
DO - 10.1063/1.5023162
M3 - Article
AN - SCOPUS:85048587204
SN - 0034-6748
VL - 89
JO - Review of Scientific Instruments
JF - Review of Scientific Instruments
IS - 6
M1 - 063505
ER -