Novel cross correlation method for redshift determination of galaxy spectra

Fuqing Duan; Ping Guo

doi:10.1117/12.746039

15 November 2007 Novel cross correlation method for redshift determination of galaxy spectra

Fuqing Duan, Ping Guo

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880F (2007) https://doi.org/10.1117/12.746039
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

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.

Citation Download Citation

Fuqing Duan and Ping Guo "Novel cross correlation method for redshift determination of galaxy spectra", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880F (15 November 2007); https://doi.org/10.1117/12.746039

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