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DES science portal: Computing photometric redshifts

Gschwend, Julia; Rossel, A. C.; Ogando, R.; Neto, Angelo Fausti; Maia, M. A. G.; Da Costa, Luiz Nicolaci; Lima, M.; Pellegrini, Paulo S. S.; Campisano, Riccardo; Singulani, C.; Moller, Anais; Tucker, Bradley; Sommer, Natalia


A significant challenge facing photometric surveys for cosmological purposes is the need to produce reliable redshift estimates. The estimation of photometric redshifts (photo-zs) has been consolidated as the standard strategy to bypass the high production costs and incompleteness of spectroscopic redshift samples. Training-based photo-z methods require the preparation of a high-quality list of spectroscopic redshifts, which needs to be constantly updated. The photo-z training, validation, and...[Show more]

CollectionsANU Research Publications
Date published: 2018-09-10
Type: Journal article
Source: Astronomy and Computing
DOI: 10.1016/j.ascom.2018.08.008


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