Plasma electron density profile tomography for EAST based on integrated data analysis

Abstract Plasma electron density is a crucial parameter in plasma studies. Accurately inverting the plasma electron density profile is vital for plasma control experiments and the investigation of plasma physical mechanisms. This paper proposes an integrated data analysis (IDA) method based on Bayesian inference, which integrates polarimetric interferometry, hydrogen cyanide laser interferometer, and microwave reflectometer diagnostics for inverting the plasma electron density profile. To enhance inversion accuracy, a Gaussian prior probability of the non-stationary hyperparameter is used. This prior probability effectively simulates situations where there is a large plasma electron density gradient in the pedestal, especially under the condition of high-confinement mode discharge. Compared to the use of Gaussian prior probability for the stationary hyperparameter, the proposed IDA method based on the non-stationary hyperparameter prior probability achieves higher inversion accuracy.

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Publication Details

Journal
Nuclear Fusion
Published
2024-09-19
DOI
https://doi.org/10.1088/1741-4326/ad7b58
Citations
1
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
0.21

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article

Plasma electron density profile tomography for EAST based on integrated data analysis

Yao Huang, Qiping Yuan, Muquan Wu, Yuehang Wang et al.
1 citations
Nuclear Fusion
Plasma Diagnostics and Applications
0.21
article

Plasma electron density profile tomography for EAST based on integrated data analysis

Yao Huang, Qiping Yuan, Muquan Wu, Yuehang Wang, Shouxin Wang, Jia Huang, Dalong Chen, Bingjia Xiao, Zijie Liu, Tao Zhang, Jiangang Li, Kai Wu, Zhengping Luo, Hui Lian
article en
1 citations

Abstract

Abstract Plasma electron density is a crucial parameter in plasma studies. Accurately inverting the plasma electron density profile is vital for plasma control experiments and the investigation of plasma physical mechanisms. This paper proposes an integrated data analysis (IDA) method based on Bayesian inference, which integrates polarimetric interferometry, hydrogen cyanide laser interferometer, and microwave reflectometer diagnostics for inverting the plasma electron density profile. To enhance inversion accuracy, a Gaussian prior probability of the non-stationary hyperparameter is used. This prior probability effectively simulates situations where there is a large plasma electron density gradient in the pedestal, especially under the condition of high-confinement mode discharge. Compared to the use of Gaussian prior probability for the stationary hyperparameter, the proposed IDA method based on the non-stationary hyperparameter prior probability achieves higher inversion accuracy.

Nuclear FusionVol. 64(12)
University of Science and Technology of China (CN), Shenzhen University (CN), Institute of Plasma Physics (CN)
National Natural Science Foundation of China, National Magnetic Confinement Fusion Program of China
Openalex Percentile: Top 48%
Plasma Diagnostics and Applications
0.21
DOIOpen Access PDFOpenAlex
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