Extraction of Characteristic Spectral Line Based on Gaussian Fitting Method

Author

Pan, Jingchang ; Dong, Weixiang

Author_Institution

Sch. of Inf. Eng., Shandong Univ. at Weihai, Weihai, China

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

389

Lastpage

391

Abstract

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.

Keywords

Gaussian processes; least squares approximations; spectral analysis; Einstein shift; Gaussian fitting method; characteristic spectral line extraction; chemical elements; least-squares method; multiple peaks overlap interference; peak area data; Algorithm design and analysis; Artificial intelligence; Chemical analysis; Computational intelligence; Data analysis; Data mining; Feature extraction; Gaussian distribution; Interference; Telescopes; Astronomical spectral; Characteristics of spectral line; Gaussian fitting; Least-squares method;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.36

Filename

5376236