Journal
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
Volume 162, Issue 1, Pages 20-37Publisher
IOP PUBLISHING LTD
DOI: 10.1086/497990
Keywords
galaxies : distances and redshifts; galaxies : photometry; methods : data analysis; methods : statistical
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We compute accurate redshift distributions to I-AB=24 and R-AB=24.5 using photometric redshifts estimated from six-band UBVRIZ photometry in the Canada-France Deep Fields Photometric Redshift Survey (CFDF-PRS). Our photometric redshift algorithm is calibrated using hundreds of CFRS spectroscopic redshifts in the same fields. The dispersion in redshift is sigma/(1+z)less than or similar to 0.04 to the CFRS depth of I-AB=22.5, rising to sigma/(1+z)less than or similar to 0.06 at our nominal magnitude and redshift limits of I-AB=24 and z <= 1.3, respectively. We describe a new method to compute N(z) that incorporates the full redshift likelihood functions in a Bayesian iterative analysis, and we demonstrate in extensive Monte Carlo simulations that it is superior to distributions calculated using simple maximum likelihood redshifts. The field-to-field differences in the redshift distributions, while not unexpected theoretically, are substantial even on 300 scales. We provide I-AB and R-AB redshift distributions, median redshifts, and parameterized fits of our results in various magnitude ranges, accounting for both random and systematic errors in the analysis.
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