Clustering-based redshift estimation: application to VIPERS/CFHTLS
  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. VIPERS provides a nearly
representative sample to the flux limit iAB < 22.5 at redshift > 0.5 which
allows us to test the accuracy of the clustering-based red- shift
distributions. We show that this method enables us to reproduce the true mean
color-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 one of reference and we give an estimate of
the color-redshift mapping in this case. This last point is of great interest
for future large redshift surveys which suffer from the need of a complete
faint spectroscopic sample.
