Clustering-based redshift estimation: application to VIPERS/CFHTLS

Journal
Date Issued
2016
Author(s)
Scottez, V.
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Mellier, Y.
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Granett, B. R.
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Moutard, T.
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Kilbinger, M.
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•
•
•
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Guzzo, L.
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Adami, C.
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Arnouts, S.
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•
•
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Davidzon, I.
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Fritz, A.
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Krywult, J.
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Le Brun, V.
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Le Fèvre, O.
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Maccagni, D.
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Małek, K.
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Marulli, F.
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Pollo, A.
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Tasca, L. A. M.
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Tojeiro, R.
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•
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Bel, J.
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Coupon, J.
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Ilbert, O.
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McCracken, H. J.
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Moscardini, L.
•
•
DOI
Abstract
We explore the accuracy of the clustering-based redshift estimation proposed by Ménard et al. when applied to VIMOS Public Extragalactic Redshift Survey (VIPERS) and Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) real data. This method enables us to reconstruct redshift distributions from measurement of the angular clustering of objects using a set of secure spectroscopic redshifts. We use state-of-the-art spectroscopic measurements with IAB < 22.5 from the VIPERS as reference population to infer the redshift distribution of galaxies from the CFHTLS T0007 release. VIPERS provides a nearly representative sample to a flux limit of IAB < 22.5 at a redshift of >0.5 which allows us to test the accuracy of the clustering-based redshift distributions. We show that this method enables us to reproduce the true mean colour-redshift relation when both populations have the same magnitude limit. We also show that this technique allows the inference of redshift distributions for a population fainter than the reference and we give an estimate of the colour-redshift mapping in this case. This last point is of great interest for future large-redshift surveys which require a complete faint spectroscopic sample.
Volume
462
Issue
2
Start page
1683
Uri
Url
Issn Identifier
0035-8711
Ads BibCode
2016MNRAS.462.1683S
Rights
open.access
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