Survey of Methods of Photometric Redshifts

Details Survey of Methods of Photometric Redshifts Survey of Methods of Photometric Redshifts

Oct 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..376..429w&link_type=abstract

Astronomical Data Analysis Software and Systems XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 Oc

Computer Science

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Scientific paper

With the large digital sky survey projects that are being carried out, photometric redshifts show their superiority compared to spectroscopic ones, and have been regarded as an essential tool for studying the large-scale structure of the universe and the formation and evolution of galaxies. In this paper, we summarize various approaches to photometric redshifts, including the Spectral Energy Distribution (SED) fitting technique, the so-called empirical method, the color-magnitude-redshift relation (CMR), artificial neural networks (ANNs), support vector machines (SVMs), etc. The performance of these techniques, as well as their advantages and disadvantages, is discussed.

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