KEYWORDS: Galactic astronomy, Principal component analysis, Signal to noise ratio, Spectroscopy, Astronomy, Error analysis, Information science, Information technology, Spectrographs, Astronomical imaging
The rapid development of the astronomical observation has led to many large sky surveys such as SDSS, 2DF, LAMOST
etc. Because of the sheer size of these surveys, it becomes urgent to develop methods of reliable and automated spectral
recognition. A new cross correlation technique for redshift determination of galaxy spectra is presented in this paper. We
use principle components analysis to construct galaxy templates. According to the redshift candidates determined by
spectra line features, cross-correlation between the observed spectrum and the templates is measured by the weighted
sum of several similarity evidences. The candidate of the highest correlation is chosen as the estimated redshift. Both
simulated spectra and observed spectra are used to test the proposed method, the correct rate can reach 97% above.
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