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

Published online by Cambridge University Press:  02 January 2013

Zhangqin Zhu ,
Jia Zhu ,
Sheng Wang ,
Shenghong Cao ,
Guangzhao Bao  and
Zhongfu Ye
Zhangqin Zhu
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
Jia Zhu
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
Sheng Wang
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
Shenghong Cao
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
Guangzhao Bao
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
Zhongfu Ye*
Affiliation:
Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
*
BCorresponding author. Email: yezf@ustc.edu.cn
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Abstract

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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.

Keywords

line: profilesmethods: data analysistechniques: spectroscopic
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 28 , Issue 4 , 2011 , pp. 357 - 364
Copyright
Copyright © Astronomical Society of Australia 2011

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