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The Evolution of Galaxies and Groups in Cluster Environments at 0.3 < z < 0.6

Published online by Cambridge University Press:  01 August 2006

I. H. Li ,
H. K. C. Yee ,
B. C. Hsieh ,
D. G. Gilbank  and
M. D. Gladders
I. H. Li
Affiliation:
University of Toronto Canada
H. K. C. Yee
Affiliation:
University of Toronto Canada
B. C. Hsieh
Affiliation:
Academic Sinica, Taiwan
D. G. Gilbank
Affiliation:
University of Toronto Canada
M. D. Gladders
Affiliation:
Carnegie Observatories, U.S.A.
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We investigate the dependence of galaxy populations on environment. Our samples are selected from the follow-up of Red-Sequence Cluster Survey (RCS) catalogs using wide-field BVRz' imaging for 60 intermediate redshift (0.3 < z < 0.6) clusters. Galaxy redshifts are estimated using an empirical photometric redshift technique with a training set of 3996 galaxies to z 1.4. To obtain photometric redshift probability density for each galaxy, we bootstrap the training set galaxies to estimate the fitting uncertainties and apply Monte-Carlo method to simulate galaxy magnitudes errors. In order to find galaxy groups using photometric redshift, we develop a modified friends-of-friends algorithm, ‘Probability Friends-of-Friends Algorithm (pFOF)’, where photometric redshift redshift probability densities of individual galaxies are used to determine member galaxies of a group. We calculate the red galaxy fraction to infer the evolutionary status of cluster galaxies and also for galaxies in groups selected in the same redshift space as the clusters.