We present photometric redshifts for the COSMOS survey derived from a new code, optimized to yield accurate and reliable redshifts and spectral types of galaxies down to faint magnitudes and redshifts out to z ~ 1.2. The technique uses χ^2 template fitting, combined with luminosity function priors and with the option to estimate the internal extinction [or E(B - V)]. The median most probable redshift, best-fit spectral type and reddening, absolute magnitude, and stellar mass are derived in addition to the full redshift probability distributions. Using simulations with sampling and noise similar to those in COSMOS, the accuracy and reliability is estimated for the photometric redshifts as a function of the magnitude limits of the sample, S/N...
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algori...
We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from...
We present a supervised neural network approach to the determination of photometric redshifts. The m...
We present photometric redshifts for the COSMOS survey derived from a new code, optimized to yield a...
International audienceWe tested the performance of photometric redshifts for galaxies in the Hubble ...
In Lima et al. we presented a new method for estimating the redshift distribution, N ( z ) , of a ph...
The Cosmic Evolution Survey (COSMOS) has become a cornerstone of extragalactic astronomy. Since the ...
We present accurate photometric redshifts (photo-z) in the 2-deg2 COSMOS field. The redshifts are co...
Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshif...
Alarcon, A., et al.We present - and make publicly available - accurate and precise photometric redsh...
We present the Zurich Extragalactic Bayesian Redshift Analyzer (ZEBRA). The current version of ZEBRA...
Photometric redshifts (photo-z's) are vital for the success of current and forthcoming cosmological ...
We tested the performance of photometric redshifts for galaxies in the Hubble Ultra Deep field down ...
We tested the performance of photometric redshifts for galaxies in the Hubble Ultra Deep field down ...
We present photometric redshifts and spectral energy distribution (SED) classifications for a sample...
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algori...
We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from...
We present a supervised neural network approach to the determination of photometric redshifts. The m...
We present photometric redshifts for the COSMOS survey derived from a new code, optimized to yield a...
International audienceWe tested the performance of photometric redshifts for galaxies in the Hubble ...
In Lima et al. we presented a new method for estimating the redshift distribution, N ( z ) , of a ph...
The Cosmic Evolution Survey (COSMOS) has become a cornerstone of extragalactic astronomy. Since the ...
We present accurate photometric redshifts (photo-z) in the 2-deg2 COSMOS field. The redshifts are co...
Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshif...
Alarcon, A., et al.We present - and make publicly available - accurate and precise photometric redsh...
We present the Zurich Extragalactic Bayesian Redshift Analyzer (ZEBRA). The current version of ZEBRA...
Photometric redshifts (photo-z's) are vital for the success of current and forthcoming cosmological ...
We tested the performance of photometric redshifts for galaxies in the Hubble Ultra Deep field down ...
We tested the performance of photometric redshifts for galaxies in the Hubble Ultra Deep field down ...
We present photometric redshifts and spectral energy distribution (SED) classifications for a sample...
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algori...
We discuss the construction of a photometric redshift catalogue of luminous red galaxies (LRGs) from...
We present a supervised neural network approach to the determination of photometric redshifts. The m...