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Integrated package of electron cyclotron emission imaging data processing and forward modeling in OMFIT.
Yu, G; Zhu, Y; Wang, Y; Meneghini, O; Smith, S P; Zou, Y; Luo, C; Cao, J; Tobias, B; Diallo, A; Kramer, G J; Ren, Y; Luhmann, N C.
Afiliação
  • Yu G; University of California, Davis, California 95616, USA.
  • Zhu Y; University of California, Davis, California 95616, USA.
  • Wang Y; University of California, Davis, California 95616, USA.
  • Meneghini O; General Atomics, San Diego, California 92121, USA.
  • Smith SP; General Atomics, San Diego, California 92121, USA.
  • Zou Y; Southwestern Institute of Physics, Chengdu, Sichuan, 610041, China.
  • Luo C; University of California, Davis, California 95616, USA.
  • Cao J; University of California, Davis, California 95616, USA.
  • Tobias B; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Diallo A; Princeton Plasma Physics Laboratory, Princeton, New Jersey 08534, USA.
  • Kramer GJ; Princeton Plasma Physics Laboratory, Princeton, New Jersey 08534, USA.
  • Ren Y; Princeton Plasma Physics Laboratory, Princeton, New Jersey 08534, USA.
  • Luhmann NC; University of California, Davis, California 95616, USA.
Rev Sci Instrum ; 92(3): 033540, 2021 Mar 01.
Article em En | MEDLINE | ID: mdl-33820069
An Electron Cyclotron Emission Imaging (ECEI) data analysis module has been developed for the OMFIT platform to accommodate the needs of users at the DIII-D tokamak for physics applications. The user can easily access the ECEI spatial observation windows in the plasma that are calculated based on the automatically retrieved hardware setup and available DIII-D equilibria, perform spectral analysis, and obtain 2D electron temperature fluctuation images. The module provides a powerful data post-processing package for extracting important physics parameters from the 2D measurements, including the radial structure and poloidal mode number of Alfven eigenmodes, as well as the frequency-vs-wavenumber dispersion relationship of broadband MHD. The module propagates characterized synthetic fluctuations for the user, so one can perform forward modeling tasks with simple analytical fluctuations.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article