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Study of sawtooth oscillations on the HT-7 tokamak using 2D tomography of soft x-ray signal
作者姓名:马天鹏  胡立群  万宝年  阮怀林  高翔  甄香君  周立武  孙有文  陈忠勇  林士耀  孔伟
作者单位:Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Electronic Engineering, Hefei 230037,China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China;Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China
基金项目:Project supported by the National Natural Science Foundation of China (Grant Nos 10375070 and 10305012).
摘    要:It is the first time so far as we know that two arrays of multi-channel soft x-ray detectors are used to generate twodimensional (2D) images of sawtooth oscillation on the HT-7 tokamak using the Fourier-Bessel harmonic reconstruction method, and using the singular value decomposition to analyse the data from soft x-ray cameras. By these two arrays, 2D image reconstruction of soft x-ray emissivity can be obtained without assumption of plasma rigid rotation. Tomographic reconstruction of the m=1 mode structure is obtained during the precursor oscillation of the sawtooth crash. The crescent-shaped mode structure appearing on the contour map of the soft x-ray emissivity is consistent with the quasiinterchange mode. The characteristics of the m=1/n=1 mode structure observed in the soft x-ray tomography are as follows: the magnetic surface is made up of the crescent-shaped “hot core” and the circular “cold bubble”. The structure of the magnetic surface rotates in the direction of the electron diamagnetic drift and the rotation frequency is the oscillation frequency of soft x-ray signals.

关 键 词:X射线  断层摄影术  锯齿振动  单值分解  SVD
收稿时间:2005-03-24
修稿时间:2005-03-242005-06-25

Study of sawtooth oscillations on the HT-7 tokamak using 2D tomography of soft x-ray signal
Ma Tian-Peng,Hu Li-Qun,Wan Bao-Nian,Ruan Huai-Lin,Gao Xiang,Zhen Xiang-Jun,Zhou Li-Wu,Sun You-Wen,Chen Zhong-Yong,Lin Shi-Yao and Kong Wei.Study of sawtooth oscillations on the HT-7 tokamak using 2D tomography of soft x-ray signal[J].Chinese Physics B,2005,14(10):2061-2067.
Authors:Ma Tian-Peng  Hu Li-Qun  Wan Bao-Nian  Ruan Huai-Lin  Gao Xiang  Zhen Xiang-Jun  Zhou Li-Wu  Sun You-Wen  Chen Zhong-Yong  Lin Shi-Yao and Kong Wei
Institution:Institute of Electronic Engineering, Hefei 230037,China; Institute of Plasma Physics, Chinese Academy of Sciences,Hefei 230031, China
Abstract:It is the first time so far as we know that two arrays of multi-channel soft x-ray detectors are used to generate two-dimensional (2D) images of sawtooth oscillation on the HT-7 tokamak using the Fourier--Bessel harmonic reconstruction method, and using the singular value ecomposition to analyse the data from soft x-ray cameras. By these two arrays, 2D image reconstruction of soft x-ray emissivity can be obtained without assumption of plasma rigid rotation.Tomographic reconstruction of the m=1 mode structure is obtained during the precursor oscillation of the sawtooth crash. The crescent-shaped mode structure appearing on the contour map of the soft x-ray emissivity is consistent with the quasi-interchange mode. The characteristics of the m=1/n=1 mode structure observed in the soft x-ray tomography are as follows:the magnetic surface is made up of the crescent-shaped ``hot core' and the circular ``cold bubble'. The structure of the magnetic surface rotates in the direction of the electron diamagnetic drift and the rotation frequency is the oscillation frequency of soft x-ray signals.
Keywords:soft x-ray tomography  sawtooth oscillation  singular value decomposition (SVD)
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