An adaptive algorithm based on RBF for extracting the flux of fiber spectrum

Hanqin Qin; Zhongfu Ye; A-li Luo; Haotong Zhang

doi:10.1117/12.788159

16 July 2008 An adaptive algorithm based on RBF for extracting the flux of fiber spectrum

Hanqin Qin, Zhongfu Ye, A-li Luo, Haotong Zhang

Proceedings Volume 7019, Advanced Software and Control for Astronomy II; 701934 (2008) https://doi.org/10.1117/12.788159
Event: SPIE Astronomical Telescopes + Instrumentation, 2008, Marseille, France

Abstract

An adaptive algorithm is presented for extracting the flux of the fiber spectrum from a two-dimensional image observed by LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope). The new algorithm is based on RBF (Radial basis function) neural network, employing the Gaussian basis function to approximate the profile of the spectrum in the spatial direction. In this study, an experiment is performed with the simulated data. The experimental results show that the new algorithm can highly enhance the computing speed while preserving the accuracy in the flux extraction. A feasible approach is thus offered for extracting the flux of the fiber spectrum for LAMOST.

Citation Download Citation

Hanqin Qin, Zhongfu Ye, A-li Luo, and Haotong Zhang "An adaptive algorithm based on RBF for extracting the flux of fiber spectrum", Proc. SPIE 7019, Advanced Software and Control for Astronomy II, 701934 (16 July 2008); https://doi.org/10.1117/12.788159

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