标题:Extraction Of Characteristic Spectral Line Based On Gaussian Fitting Method
作者:Pan, Jingchang; Dong, Weixiang
通讯作者:Pan, JC
作者机构:[Pan, Jingchang; Dong, Weixiang] Shandong Univ, Sch Informat Engn, Weihai, Shandong, Peoples R China.
会议名称:International Conference on Artificial Intelligence and Computational Intelligence
会议日期:NOV 07-08, 2009
来源:2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS
出版年:2009
页码:389-391
DOI:10.1109/AICI.2009.36
关键词:Least-squares method; Gaussian fitting; Astronomical spectral;; Characteristics of spectral line
摘要:describes in detail the method to process the characteristics of the spectral lines using the Gaussian fitting based on the least-squares method. By separately truncating the peak area data and statistically analyzing and setting fitting parameters, multiple peaks overlap interference can be better avoided, and more accurate fitting of spectral characteristics of spectra of line center and intensity can be worked out. Experimental results show that the algorithm can effectively improve the fitting accuracy, and can make preparation for the calculation of Einstein shift and analysis of chemical elements in stars.
收录类别:CPCI-S
资源类型:会议论文
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