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Zhihao SU, Jinming GAO, Zhe GAO. Detailed analysis and simulation verification for reconstruction of plasma optical boundary with spectrometric technique on HL-2M tokamak[J]. Plasma Science and Technology, 2023, 25(7): 075103. DOI: 10.1088/2058-6272/acb97d
Citation: Zhihao SU, Jinming GAO, Zhe GAO. Detailed analysis and simulation verification for reconstruction of plasma optical boundary with spectrometric technique on HL-2M tokamak[J]. Plasma Science and Technology, 2023, 25(7): 075103. DOI: 10.1088/2058-6272/acb97d

Detailed analysis and simulation verification for reconstruction of plasma optical boundary with spectrometric technique on HL-2M tokamak

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  • Corresponding author:

    Zhihao SU, E-mail: su-zh19@mails.tsinghua.edu.cn

  • Received Date: October 03, 2022
  • Revised Date: February 05, 2023
  • Accepted Date: February 05, 2023
  • Available Online: December 05, 2023
  • Published Date: March 28, 2023
  • The plasma optical boundary reconstruction technique based on Hommen's theory is promising for future tokamaks with high parameters. In this work, we conduct detailed analysis and simulation verification to estimate the 'logic loophole' of this technique. The finite-width effect and unpredictable errors reduce the technique's reliability, which leads to this loophole. Based on imaging theory, the photos of a virtual camera are simulated by integrating the assumed luminous intensity of plasma. Based on Hommen's theory, the plasma optical boundary is reconstructed from the photos. Comparing the reconstructed boundary with the one assumed, the logic loophole and its two effects are quantitatively estimated. The finite-width effect is related to the equivalent thickness of the luminous layer, which is generally about 2‒4 cm but sometimes larger. The level of unpredictable errors is around 0.65 cm. The technique based on Hommen's theory is generally reliable, but finite-width effect and unpredictable errors have to be taken into consideration in some scenarios. The parameters of HL-2M are applied in this work.

  • This work was supported by the Tsinghua University 2021 Doctoral Summer Project. This work was also supported by the National Key R & D Program of China (No. 2018YFE0301102) and National Natural Science Foundation of China (Nos. 11875020 and 11875023).

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