redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG

We describe redMaPPer, a new red sequence cluster finder specifically designed to make optimal use of ongoing and near-future large photometric surveys. The algorithm has multiple attractive features: (1) it can iteratively self-train the red sequence model based on a minimal spectroscopic training...

Full description

Saved in:
Bibliographic Details
Published inThe Astrophysical journal Vol. 785; no. 2; pp. 104 - 33
Main Authors Rykoff, E. S., Rozo, E., Busha, M. T., Cunha, C. E., Finoguenov, A., Evrard, A., Hao, J., Koester, B. P., Leauthaud, A., Nord, B., Pierre, M., Reddick, R., Sadibekova, T., Sheldon, E. S., Wechsler, R. H.
Format Journal Article
LanguageEnglish
Published 20.04.2014
Subjects
Online AccessGet full text
ISSN0004-637X
1538-4357
DOI10.1088/0004-637X/785/2/104

Cover

More Information
Summary:We describe redMaPPer, a new red sequence cluster finder specifically designed to make optimal use of ongoing and near-future large photometric surveys. The algorithm has multiple attractive features: (1) it can iteratively self-train the red sequence model based on a minimal spectroscopic training sample, an important feature for high-redshift surveys. (2) It can handle complex masks with varying depth. (3) It produces cluster-appropriate random points to enable large-scale structure studies. (4) All clusters are assigned a full redshift probability distribution P(z). (5) Similarly, clusters can have multiple candidate central galaxies, each with corresponding centering probabilities. (6) The algorithm is parallel and numerically efficient: it can run a Dark Energy Survey-like catalog in ~500 CPU hours. (7) The algorithm exhibits excellent photometric redshift performance, the richness estimates are tightly correlated with external mass proxies, and the completeness and purity of the corresponding catalogs are superb. We apply the redMaPPer algorithm to ~10,000 deg super(2) of SDSS DR8 data and present the resulting catalog of ~25,000 clusters over the redshift range z [isin] [0.08, 0.55]. The redMaPPer photometric redshifts are nearly Gaussian, with a scatter [sigma] sub(z) approximately 0.006 at z approximately 0.1, increasing to [sigma] sub(z) approximately 0.02 at z approximately 0.5 due to increased photometric noise near the survey limit. The median value for | Delta z|/(1 + z) for the full sample is 0.006. The incidence of projection effects is low ([< or =, slant]5%). Detailed performance comparisons of the redMaPPer DR8 cluster catalog to X-ray and Sunyaev-Zel'dovich catalogs are presented in a companion paper.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0004-637X
1538-4357
DOI:10.1088/0004-637X/785/2/104