Estimating the Redshift Distribution of Photometric Galaxy Samples II. Applications and Tests of a New Method

TL;DR

This paper extends a method for estimating galaxy redshift distributions using photometric data, enabling more accurate cosmological analyses and providing detailed redshift probability distributions for individual galaxies.

Contribution

It introduces an improved weighting method for estimating N(z) and p(z) that outperforms traditional photometric redshift techniques and offers a publicly available p(z) catalog for SDSS galaxies.

Findings

Accurate redshift distributions can be estimated using the weighting method.

The method provides detailed p(z) for individual galaxies, reducing biases.

A public p(z) catalog for SDSS DR7 galaxies is released.

Abstract

In Lima et al. 2008 we presented a new method for estimating the redshift distribution, N(z), of a photometric galaxy sample, using photometric observables and weighted sampling from a spectroscopic subsample of the data. In this paper, we extend this method and explore various applications of it, using both simulations of and real data from the SDSS. In addition to estimating the redshift distribution for an entire sample, the weighting method enables accurate estimates of the redshift probability distribution, p(z), for each galaxy in a photometric sample. Use of p(z) in cosmological analyses can substantially reduce biases associated with traditional photometric redshifts, in which a single redshift estimate is associated with each galaxy. The weighting procedure also naturally indicates which galaxies in the photometric sample are expected to have accurate redshift estimates, namely those that lie in regions of photometric-observable space that are well sampled by the spectroscopic subsample. In addition to providing a method that has some advantages over standard photo-z estimates, the weights method can also be used in conjunction with photo-z estimates, e.g., by providing improved estimation of N(z) via deconvolution of N(photo-z) and improved estimates of photo-z scatter and bias. We present a publicly available p(z) catalog for ~78 million SDSS DR7 galaxies.