贝叶斯反卷积在EAST电荷交换复合光谱分析中的应用

江堤; 李颖颖; 尹相辉; 符佳; 张凌; 吕波; 徐国盛; 高翔

doi:10.11889/j.0253-3219.2017.hjs.40.030603

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贝叶斯反卷积在EAST电荷交换复合光谱分析中的应用

核能科学与工程 | 更新时间：2021-05-19

- 贝叶斯反卷积在EAST电荷交换复合光谱分析中的应用
- Applications of Bayesian deconvolution to the charge exchange recombination spectroscopy on EAST tokamak
- 核技术 2017年40卷第3期文章编号：030603
- 作者机构：
  
  1.安徽大学物理与材料科学学院合肥 230601
  2.中国科学院等离子体物理研究所合肥 230031
  3.中国科学技术大学核科学技术学院合肥 230026
- 作者简介：
  
  [ "江堤, 男, 1991年出生, 2013年毕业于安庆师范大学, 现为安徽大学硕士研究生, 研究领域为等离子体物理", "JIANG Di, male, born in 1991, graduated from Anqing Normal University in 2013, master student of Anhui University, focusing on plasma physics" ]
  李颖颖, E-mail:liyy@ipp.ac.cn LI Yingying, E-mail:liyy@ipp.ac.cn
- 基金信息：
  
  国家磁约束核聚变能发展研究专项(2015GB103001);国家磁约束核聚变能发展研究专项(2015GB101002);国家自然科学基金(11405212);国家自然科学基金(11535013)
- DOI：10.11889/j.0253-3219.2017.hjs.40.030603
  中图分类号： TL99
- 收稿日期：2016-11-03，
  
  修回日期：2016-11-30，
  
  纸质出版日期：2017-03-10
- 稿件说明：
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江堤, 李颖颖, 尹相辉, 等. 贝叶斯反卷积在EAST电荷交换复合光谱分析中的应用[J]. 核技术, 2017,40(3):030603

Di JIANG, Yingying LI, Xianghui YIN, et al. Applications of Bayesian deconvolution to the charge exchange recombination spectroscopy on EAST tokamak[J]. Nuclear techniques, 2017, 40(3): 030603
江堤, 李颖颖, 尹相辉, 等. 贝叶斯反卷积在EAST电荷交换复合光谱分析中的应用[J]. 核技术, 2017,40(3):030603 DOI： 10.11889/j.0253-3219.2017.hjs.40.030603.

Di JIANG, Yingying LI, Xianghui YIN, et al. Applications of Bayesian deconvolution to the charge exchange recombination spectroscopy on EAST tokamak[J]. Nuclear techniques, 2017, 40(3): 030603 DOI： 10.11889/j.0253-3219.2017.hjs.40.030603.

摘要

电荷交换复合光谱（Charge eXchange Recombination Spectroscopy，CXRS）诊断是核聚变装置上测量等离子体离子温度和旋转速度的常规诊断之一。然而在实验中，诊断光通过光谱仪后，由于仪器函数的卷积效应，会使测量到的光谱出现明显展宽，影响数据处理的精度，所以需要对实验测量到的光谱进行反卷积处理。本文采用的反卷积方法是基于贝叶斯条件概率公式推导得出，并结合标准灯获取的仪器函数来进行反卷积，分别从仿真和实验两个方面验证了该方法的可靠性。结果表明将贝叶斯反卷积运用到先进实验超导托卡马克（Experimental Advanced Superconducting Tokamak，EAST）电荷交换复合光谱分析中，能有效提高实验测量精度。结合快速极紫外谱仪（Extreme ultraviolet，EUV），对EAST实验中经过贝叶斯反卷积后测量到的光谱进行了杂质谱线识别工作，进一步提高了精度。

Abstract

Background

Charge eXchange Recombination Spectroscopy (CXRS) is a routine diagnostic method for the measurement of plasma ion temperature and rotation velocity on nuclear fusion devices. The experimental spectrum can be obviously broadened by the instrument function (IF) convoluted

thus the deconvolution is needed for accurate data analysis.

Purpose

This study aims to improve accuracy of data analysis by using the Bayesian deconvolution and impurity spectrum identification.

Methods

The deconvoluted method utilizes the Bayesian condition probability formula. Standardized neon lamp is applied to get spectrometric IF for deconvolution processing. Finally

the impurity spectra is identify fast-time-response extreme ultraviolet (EUV) to further improve the analysis accuracy.

Results

Experimental results on Experimental Advanced Superconducting Tokamak (EAST) confirmed the reliability of Bayesian deconvolution that was previously verified by simulation study.

Conclusion

Bayesian deconvolution combined with fast-time-response EUV can be effectively applied to the edge CXRS analysis on tokamak.

关键词

Keywords

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