Spectrum Extraction for 2-D Fiber Spectrum Images Based on 2-D Gaussian Model

被引：9

作者：

Zhu, Zhangqin ^{[1
]}

Zhu, Jia ^{[1
]}

Wang, Sheng ^{[1
]}

Cao, Shenghong ^{[1
]}

Bao, Guangzhao ^{[1
]}

Ye, Zhongfu ^{[1
]}

机构：

[1] Univ Sci & Technol China, Inst Stat Signal Proc, Hefei 230027, Peoples R China

来源：

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA | 2011年 / 28卷 / 04期

基金：

中国国家自然科学基金;

关键词：

line: profiles; methods: data analysis; techniques: spectroscopic; SPECTROSCOPY;

D O I：

10.1071/AS10049

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

A novel spectrum-extraction method based on a 2-D Gaussian model is proposed in this paper. First, the flat images are employed to fit the model parameters in the spatial orientation and the calibration lamp images are used to fit the model parameters in the wavelength orientation. Then normalized 2-D models are obtained by combining the parameters of the two orientations. The flux-extraction algorithm is based on least-square theory and the 2-D model. Through experiments, the extracted spectra by our method have a stronger ability to reduce noise than the 1-D spectrum extraction method.

引用

页码：357 / 364

页数：8

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