Intermediate Redshift Galaxy Clusters from DPOSS

Computer Science

Scientific paper

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Galaxies: Clusters: General, Methods: Numerical, Galaxies: Surveys

Scientific paper

In this thesis we discuss the selection of intermediate redshift galaxy cluster candidates based on the Digitized Second Palomar Observatory Sky Survey (DPOSS). Clusters are detected using the best DPOSS plates based on seeing and limiting magnitude. The search is further restricted to high galactic latitudes (|b| > 50 °), where stellar contamination is mild and nearly uniform. The input galaxy catalogs used for this search are limited to r = 21.1. The cluster selection is based on two techniques, the adaptive kernel and the voronoi tesselation methods. The final combined catalog contains ~ 10,000 candidates over ~ 2,700 square degrees, with ~ 0.30 and ~ 40 (Ngals is a richness estimate we provide). Rich clusters are detected down to z ~ 0.5. This cluster catalog is a supplement to the previous DPOSS catalogs, being the largest resource of rich clusters in this redshift range to date. In order to optimize the detection algorithms and estimate the contamination and completeness rates, we perform a large number of simulations for both catalogs. Redshift and richness estimates are also provided for all candidates in the two catalogs. As a by-product we present a comparison between the DPOSS and SDSS surveys. This comparison is used to estimate the DPOSS detection limits. Some of the projects to be developed in the future are also discussed.

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