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arXiv · astro-ph/0701268

MaxBCG: A Red Sequence Galaxy Cluster Finder

Benjamin P. Koester·Timothy A. McKay·James Annis·Risa H. Wechsler·August E. Evrard·Eduardo Rozo·Lindsey Bleem·Erin S. Sheldon·David Johnston
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Abstract

Measurements of galaxy cluster abundances, clustering properties, and mass to- light ratios in current and future surveys can provide important cosmological constraints. Digital wide-field imaging surveys, the recently-demonstrated fidelity of red-sequence cluster detection techniques, and a new generation of realistic mock galaxy surveys provide the means for construction of large, cosmologicallyinteresting cluster samples, whose selection and properties can be understood in unprecedented depth. We present the details of the "maxBCG" algorithm, a cluster-detection technique tailored to multi-band CCD-imaging data. MaxBCG primarily relies on an observational cornerstone of massive galaxy clusters: they are marked by an overdensity of bright, uniformly red galaxies. This detection scheme also exploits classical brightest cluster galaxies (BCGs), which are often found at the center of these same massive clusters. (ABRIDGED)

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Benjamin P. Koester, Timothy A. McKay, James Annis, Risa H. Wechsler, August E. Evrard, Eduardo Rozo, Lindsey Bleem, Erin S. Sheldon, David Johnston. 2007-01-09. MaxBCG: A Red Sequence Galaxy Cluster Finder. https://doi.org/10.1086/512092

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