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.

Scottez, V., Mellier, Y., Granett, B.R., Moutard, T., Kilbinger, M., Scodeggio, M., et al. (2016). Clustering-based redshift estimation: Application to VIPERS/CFHTLS. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 462(2), 1683-1696 [10.1093/mnras/stw1500].

Clustering-based redshift estimation: Application to VIPERS/CFHTLS

BRANCHINI, ENZO FRANCO;
2016-01-01

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.
Scottez, V., Mellier, Y., Granett, B.R., Moutard, T., Kilbinger, M., Scodeggio, M., et al. (2016). Clustering-based redshift estimation: Application to VIPERS/CFHTLS. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 462(2), 1683-1696 [10.1093/mnras/stw1500].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/309768
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