Analysis of charge-exchange spectroscopy data by combining genetic and Gauss-Newton algorithms

被引：2

作者：

Ma Qian ^{[1
]}

Zuo Haoyi ^{[1
]}

Wei Yanling ^{[2
]}

Liu Liang ^{[2
]}

Chen Wenjin ^{[2
]}

He Xiaoxue ^{[2
]}

Luo Shirong ^{[1
]}

机构：

[1] Sichuan Univ, Dept Phys, Chengdu 610064, Peoples R China

[2] Southwestern Inst Phys, Chengdu 610041, Peoples R China

来源：

JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER | 2015年 / 166卷

关键词：

Active charge exchange spectroscopy; Diagnostic of hot fusion plasmas; GAGN; RECOMBINATION SPECTROSCOPY; ION TEMPERATURE; ELECTRIC-FIELD; TOKAMAK; PLASMA; ROTATION; MODE; TURBULENCE; EMISSION; JET;

D O I：

10.1016/j.jqsrt.2015.07.014

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The temperature and rotation velocity profile of ions in a tokamak are two characteristic parameters that reflect the plasma's behavior. Measurement of the two parameters relies on analyzing an active charge exchange spectroscopy diagnostic. However, a very challenging problem in such a diagnostic is the existence of interfering spectral lines, which can mislead the spectrum analysis process. This work proposes combining a genetic algorithm with the Gauss Newton method (GAGN) to address this problem. Using this GAGN algorithm, we can effectively distinguish between the useful spectrum line and the interfering spectral lines within the spectroscopic output. The accuracy and stability of this algorithm are verified using both numerical simulation and actual measurements. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：74 / 80

页数：7

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