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Proceedings Paper

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

Paper Details

Date Published: 16 July 2008
PDF: 11 pages
Proc. SPIE 7019, Advanced Software and Control for Astronomy II, 701934 (16 July 2008); doi: 10.1117/12.788159
Show Author Affiliations
Hanqin Qin, Univ. of Science and Technology of China (China)
Zhongfu Ye, Univ. of Science and Technology of China (China)
A-li Luo, National Astronomical Observatories (China)
Haotong Zhang, National Astronomical Observatories (China)


Published in SPIE Proceedings Vol. 7019:
Advanced Software and Control for Astronomy II
Alan Bridger; Nicole M. Radziwill, Editor(s)

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