Astronomy and Astrophysics – Astronomy
Scientific paper
Nov 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007spie.6788e..14d&link_type=abstract
MIPPR 2007: Pattern Recognition and Computer Vision. Edited by Maybank, S. J.; Ding, Mingyue; Wahl, F.; Zhu, Yaoting. Proceedin
Astronomy and Astrophysics
Astronomy
Scientific paper
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.
Duan Fuqing
Guo Ping
Zhou Mingquan
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