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An improved method of spectrum extraction based on 2-D Gauss model for LAMOST

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Abstract

An improved spectrum extraction method based on two-dimensional (2-D) Gauss model is presented for the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). As the previous 2-D fiber spectrum extraction methods, the improved method still uses the flat-field images and the calibration lamp images respectively to determine the parameters of the 2-D Gauss model, at the same time the means of evaluating the parameters is modified. The proposed method makes full use of the correlation between the spectrum signals and the non-correlation between the noise. The means of extracting the original spectrum from the observed 2-D spectra is modified as well. We utilize the symmetry of the spectrum contour to weaken the influence of noise. The experiments are performed with the simulated data based on the feature of the real LAMOST data and the real data on LAMOST. The experimental results show that our improved method is more effective and accurate than the previous spectrum extraction methods used on LAMOST.

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Acknowledgment

The authors acknowledge support from the National Natural Science Foundation of China (NSFC 11078016).

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Authors and Affiliations

  1. Institute of Statistical Signal Processing, University of Science and Technology of China, Hefei, 230027, People’s Republic of China

    Bo Zhang, Zhongfu Ye & Xu Xu

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  1. Bo Zhang
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  2. Zhongfu Ye
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  3. Xu Xu
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Correspondence to Zhongfu Ye.

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Zhang, B., Ye, Z. & Xu, X. An improved method of spectrum extraction based on 2-D Gauss model for LAMOST. Exp Astron 36, 1–19 (2013). https://doi.org/10.1007/s10686-013-9329-2

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  • DOI: https://doi.org/10.1007/s10686-013-9329-2

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