A PHOTOMETRIC REDSHIFT GALAXY CATALOG FROM THE RED-SEQUENCE CLUSTER SURVEY
B.C. Hsieh, H.K.C. Yee, H. Lin, and M.D. Gladders

Abstract: The Red-Sequence Cluster Survey ( RCS) provides a large and deep photometric catalog of galaxies in the z' and Rc bands for 90 deg^2 of sky, and supplemental V and B data have been obtained for 33.6 deg^2. We compile a photometric redshift catalog from these four-band data by utilizing the empirical quadratic polynomial photometric redshift fitting technique in combination with CNOC2, GOODS- HDF-N, and DEEP2 DR2 redshift data. The training set includes 9,188 spectral redshifts. The resulting catalog contains more than one million galaxies with photometric redshifts <1.5 and Rc < 24, giving an rms redshift error < 0.05 within the redshift range 0.2 < z < 0.5 and an rms redshift error < 0.1 for galaxies at 0.0 < z < 1.0. In the poster, we will describe the empirical 3rd-order polynomial photometric redshift fitting technique that we use to determine the relation between redshift and photometry. A kd-tree algorithm is used to divide up our sample to improve the accuracy of our catalog. We will also present a method for estimating the photometric redshift error for individual galaxies.