THE GALAXY CONTENT OF SDSS CLUSTERS AND GROUPS
- 1. UCO/Lick Observatory, University of California, Santa Cruz, CA 95064 (United States)
- 2. Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States)
- 3. Kavli Institute for Particle Astrophysics and Cosmology, Physics Department, and Stanford Linear Accelerator Center, Stanford University, Stanford, CA 94305 (United States)
- 4. Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637 (United States)
Description
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 x 1013 h -1 M sun, 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 Mi - 5log10 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 0.3200, and has a Gaussian distribution at fixed richness, with σlogL ∼ 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.
Availability note (English)
Available from http://dx.doi.org/10.1088/0004-637X/699/2/1333Additional details
Identifiers
Publishing Information
- Journal Title
- Astrophysical Journal
- Journal Volume
- 699
- Journal Issue
- 2
- Journal Page Range
- p. 1333-1353
- ISSN
- 0004-637X
- CODEN
- ASJOAB
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41069582
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- ALGORITHMS; COLOR; COSMOLOGY; GALACTIC EVOLUTION; GALAXIES; GALAXY CLUSTERS; GAUSS FUNCTION; LUMINOSITY; MASS; RED SHIFT; SATELLITES
- Descriptors DEC
- EVOLUTION; FUNCTIONS; MATHEMATICAL LOGIC; OPTICAL PROPERTIES; ORGANOLEPTIC PROPERTIES; PHYSICAL PROPERTIES