Clustering-based redshift estimation: application to VIPERS/CFHTLS

Understand

We explore the accuracy of the clustering-based redshift estimation proposed by M\'enard et al.

• (2013) when applied to VIPERS and CFHTLS real data.
• This method enables us to reconstruct redshift distributions from measurement of the angular clus- tering of objects using a set of secure spectroscopic redshifts.
• We use state of the art spectroscopic measurements with iAB < 22.5 from the VIMOS Public Extragalactic Redshift Survey (VIPERS) as reference population to infer the redshift distribution of galaxies from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) T0007 release.