Your browser doesn't support javascript.
loading
Swift evaluation of electron density profiles obtained by the alkali beam emission spectroscopy technique using linearized reconstruction.
Vécsei, M; Anda, G; Asztalos, O; Dunai, D; Hegedus, S; Nagy, D; Otte, M; Pokol, G I; Zoletnik, S.
Afiliação
  • Vécsei M; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Anda G; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Asztalos O; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Dunai D; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Hegedus S; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Nagy D; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Otte M; Max-Planck Institute for Plasma Physics, Wendelsteinstrasse 1, 17491 Greifswald, Germany.
  • Pokol GI; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
  • Zoletnik S; Centre for Energy Research, Konkoly-Thege Miklós út 29-33, 1121 Budapest, Hungary.
Rev Sci Instrum ; 92(11): 113501, 2021 Nov 01.
Article em En | MEDLINE | ID: mdl-34852513
ABSTRACT
A method is presented for the swift reconstruction of electron density profiles measured by the alkali beam emission spectroscopy. It is based on the linearization of the governing rate equations and leads to a direct calculation for obtaining the profiles. The uncertainties of the measurement are incorporated into the problem through the utilization of Tikhonov regularization and the generalized least squares method. An approximation for the uncertainty of the reconstructed density data is calculated as well. The applicability of the method is tested against both simulated and real experimental results of the W7-X stellarator.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Hungria