Clustering-based redshift estimation: application to VIPERS/CFHTLS
Date Issued
2016
Author(s)
Scottez, V.
•
Mellier, Y.
•
Granett, B. R.
•
Moutard, T.
•
Kilbinger, M.
•
•
•
•
•
Guzzo, L.
•
•
Adami, C.
•
Arnouts, S.
•
•
•
•
Davidzon, I.
•
Fritz, A.
•
•
Krywult, J.
•
Le Brun, V.
•
Le Fèvre, O.
•
Maccagni, D.
•
Małek, K.
•
Marulli, F.
•
•
Pollo, A.
•
Tasca, L. A. M.
•
Tojeiro, R.
•
•
•
Bel, J.
•
Coupon, J.
•
•
Ilbert, O.
•
McCracken, H. J.
•
Moscardini, L.
•
•
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
Issn Identifier
0035-8711
Ads BibCode
2016MNRAS.462.1683S
Rights
open.access
File(s)![Thumbnail Image]()
Loading...
Name
stw1500.pdf
Description
PDF editoriale
Size
3.36 MB
Format
Adobe PDF
Checksum (MD5)
c50533683816fe774410208a04b5790f