Spectrum Extraction for 2-D Fiber Spectrum Images Based on 2-D Gaussian Model
Zhangqin Zhu A , Jia Zhu A , Sheng Wang A , Shenghong Cao A , Guangzhao Bao A and Zhongfu Ye A BA Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei 230027, China
B Corresponding author. Email: yezf@ustc.edu.cn
Publications of the Astronomical Society of Australia 28(4) 357-364 https://doi.org/10.1071/AS10049
Submitted: 29 December 2010 Accepted: 15 September 11 Published: 26 October 2011
Abstract
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.
Additional keywords: line: profiles — methods: data analysis — techniques: spectroscopic
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