The PAU Survey: Photometric redshift estimation in deep wide fields
Abstract
We present photometric redshifts (photo-) for the deep wide fields of the Physics of the Accelerating Universe Survey (PAUS), covering an area of 50 deg, for 1.8 million objects up to . The PAUS deep wide fields overlap with the W1 and W3 fields from CFHTLenS and the G09 field from KiDS/GAMA. Photo- are estimated using the 40 narrow bands (NB) of PAUS and the broad bands (BB) of CFHTLenS and KiDS. We compute the redshifts with the SED template-fitting code BCNZ, with a modification in the calibration technique of the zero-point between the observed and the modelled fluxes, that removes any dependence on spectroscopic redshift samples. We enhance the redshift accuracy by introducing an additional photo- estimate (), obtained through the combination of the BCNZ and the BB-only photo-. Comparing with spectroscopic redshifts estimates (), we obtain a for all galaxies with and a typical bias smaller than 0.01. For we find , this is a factor of higher accuracy than the corresponding BB-only results. We obtain similar performance when we split the samples into red (passive) and blue (active) galaxies. We validate the redshift probability obtained by BCNZ and compare its performance with that of . These photo- catalogues will facilitate important science cases, such as the study of galaxy clustering and intrinsic alignment at high redshifts () and faint magnitudes.
Cite
@article{arxiv.2312.07581,
title = {The PAU Survey: Photometric redshift estimation in deep wide fields},
author = {D. Navarro-Gironés and E. Gaztañaga and M. Crocce and A. Wittje and H. Hildebrandt and A. H. Wright and M. Siudek and M. Eriksen and S. Serrano and P. Renard and E. J. Gonzalez and C. M. Baugh and L. Cabayol and J. Carretero and R. Casas and F. J. Castander and J. De Vicente and E. Fernandez and J. García-Bellido and H. Hoekstra and G. Manzoni and R. Miquel and C. Padilla and E. Sánchez and I. Sevilla-Noarbe and P. Tallada-Crespí},
journal= {arXiv preprint arXiv:2312.07581},
year = {2025}
}
Comments
24 pages, 26 figures, submitted to MNRAS