2007/10/22 by Sarah M. Hansen, E. Sheldon, Erin S. Sheldon +2 · 5 citations
Environmental Science · Physics and Astronomy · #Galaxies: Formation, Evolution, Phenomena #Impact of Light on Environment and Health #Remote Sensing in Agriculture #astro-ph
paper · pdf · doi:10.1088/0004-637x/699/2/1333
published as Astrophys.J.699:1333-1353,2009 · 22 pages, 14 figures, submitted to ApJ
arxiv created 2007/10/22 · openalex publication_date 2009/06/23 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Imaging data from the Sloan Digital Sky Survey are used to characterize the population of galaxies in groups and clusters detected with the MaxBCG algorithm. We investigate the dependence of brightest cluster galaxy (BCG) luminosity, and the distributions of satellite galaxy luminosity and satellite color, on cluster properties over the redshift range 0.1 ⩽ z ⩽ 0.3. The size of the data set allows us to make measurements in many bins of cluster richness, radius and redshift. We find that, within r 200 of clusters with mass above 3 × 10 13 h −1 M ☉ , the luminosity function (LF) of both red and blue satellites is only weakly dependent on richness. We further find that the shape of the satellite LF does not depend on cluster-centric distance for magnitudes brighter than 0.25 M i − 5log 10 h =−19. However, the mix of faint red and blue galaxies changes dramatically. The satellite red fraction is dependent on cluster-centric distance, galaxy luminosity, and cluster mass, and also increases by ∼5% between redshifts 0.28 and 0.2, independent of richness. We find that BCG luminosity is tightly correlated with cluster richness, scaling as L BCG ∼ M 0.3 200 , and has a Gaussian distribution at fixed richness, with σ log L ∼ 0.17 for massive clusters. The ratios of BCG luminosity to total cluster luminosity and characteristic satellite luminosity scale strongly with cluster richness: in richer systems, BCGs contribute a smaller fraction of the total light, but are brighter compared to typical satellites. This study demonstrates the power of cross-correlation techniques for measuring galaxy populations in purely photometric data.