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Assessment of the accuracy of plasma shape reconstruction by the Cauchy condition surface method in JT-60SA.
Miyata, Y; Suzuki, T; Takechi, M; Urano, H; Ide, S.
Afiliação
  • Miyata Y; Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan.
  • Suzuki T; Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan.
  • Takechi M; Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan.
  • Urano H; Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan.
  • Ide S; Japan Atomic Energy Agency, Naka, Ibaraki 311-0193, Japan.
Rev Sci Instrum ; 86(7): 073511, 2015 Jul.
Article em En | MEDLINE | ID: mdl-26233387
For the purpose of stable plasma equilibrium control and detailed analysis, it is essential to reconstruct an accurate plasma boundary on the poloidal cross section in tokamak devices. The Cauchy condition surface (CCS) method is a numerical approach for calculating the spatial distribution of the magnetic flux outside a hypothetical surface and reconstructing the plasma boundary from the magnetic measurements located outside the plasma. The accuracy of the plasma shape reconstruction has been assessed by comparing the CCS method and an equilibrium calculation in JT-60SA with a high elongation and triangularity of plasma shape. The CCS, on which both Dirichlet and Neumann conditions are unknown, is defined as a hypothetical surface located inside the real plasma region. The accuracy of the plasma shape reconstruction is sensitive to the CCS free parameters such as the number of unknown parameters and the shape in JT-60SA. It is found that the optimum number of unknown parameters and the size of the CCS that minimizes errors in the reconstructed plasma shape are in proportion to the plasma size. Furthermore, it is shown that the accuracy of the plasma shape reconstruction is greatly improved using the optimum number of unknown parameters and shape of the CCS, and the reachable reconstruction errors in plasma shape and locations of strike points are within the target ranges in JT-60SA.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article