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

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

Aug 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.7019e.104q&link_type=abstract

Advanced Software and Control for Astronomy II. Edited by Bridger, Alan; Radziwill, Nicole M. Proceedings of the SPIE, Volume 70

Astronomy and Astrophysics

Astronomy

1

Scientific paper

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.

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