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Title: An Automated Cluster Finder: The Adaptive Matched Filter

Abstract

We describe an automated method for detecting clusters of galaxies in imaging and redshift galaxy surveys. The adaptive matched filter (AMF) method utilizes galaxy positions, magnitudes, and{emdash}when available{emdash}photometric or spectroscopic redshifts to find clusters and determine their redshift and richness. The AMF can be applied to most types of galaxy surveys, from two-dimensional (2D) imaging surveys, to multiband imaging surveys with photometric redshifts of any accuracy (2.5 dimensional [2 (1) /(2) D]), to three-dimensional (3D) redshift surveys. The AMF can also be utilized in the selection of clusters in cosmological {ital N}-body simulations. The AMF identifies clusters by finding the peaks in a cluster likelihood map generated by convolving a galaxy survey with a filter based on a model of the cluster and field galaxy distributions. In tests on simulated 2D and 2 (1) /(2) D data with a magnitude limit of r{sup {prime}} {approx}23.5, clusters are detected with an accuracy of {Delta}z{approx}0.02 in redshift and {approximately}10{percent} in richness to z{approx_lt}0.5. Detecting clusters at higher redshifts is possible with deeper surveys. In this paper we present the theory behind the AMF and describe test results on synthetic galaxy catalogs. {copyright} {ital {copyright} 1999.} {ital The American Astronomical Society}

Authors:
; ; ; ; ;  [1]
  1. Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544-1001 (United States)
Publication Date:
OSTI Identifier:
357599
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 517; Journal Issue: 1; Other Information: PBD: May 1999
Country of Publication:
United States
Language:
English
Subject:
66 PHYSICS; COSMOLOGY; INTERGALACTIC SPACE; RED SHIFT; SPECTROPHOTOMETRY; GALACTIC EVOLUTION; ANALYTICAL SOLUTION; COMPUTERIZED SIMULATION; GALAXY CLUSTERS; DATA ANALYSIS

Citation Formats

Kepner, J, Fan, X, Bahcall, N, Gunn, J, Lupton, R, and Xu, G. An Automated Cluster Finder: The Adaptive Matched Filter. United States: N. p., 1999. Web. doi:10.1086/307160.
Kepner, J, Fan, X, Bahcall, N, Gunn, J, Lupton, R, & Xu, G. An Automated Cluster Finder: The Adaptive Matched Filter. United States. doi:10.1086/307160.
Kepner, J, Fan, X, Bahcall, N, Gunn, J, Lupton, R, and Xu, G. Sat . "An Automated Cluster Finder: The Adaptive Matched Filter". United States. doi:10.1086/307160.
@article{osti_357599,
title = {An Automated Cluster Finder: The Adaptive Matched Filter},
author = {Kepner, J and Fan, X and Bahcall, N and Gunn, J and Lupton, R and Xu, G},
abstractNote = {We describe an automated method for detecting clusters of galaxies in imaging and redshift galaxy surveys. The adaptive matched filter (AMF) method utilizes galaxy positions, magnitudes, and{emdash}when available{emdash}photometric or spectroscopic redshifts to find clusters and determine their redshift and richness. The AMF can be applied to most types of galaxy surveys, from two-dimensional (2D) imaging surveys, to multiband imaging surveys with photometric redshifts of any accuracy (2.5 dimensional [2 (1) /(2) D]), to three-dimensional (3D) redshift surveys. The AMF can also be utilized in the selection of clusters in cosmological {ital N}-body simulations. The AMF identifies clusters by finding the peaks in a cluster likelihood map generated by convolving a galaxy survey with a filter based on a model of the cluster and field galaxy distributions. In tests on simulated 2D and 2 (1) /(2) D data with a magnitude limit of r{sup {prime}} {approx}23.5, clusters are detected with an accuracy of {Delta}z{approx}0.02 in redshift and {approximately}10{percent} in richness to z{approx_lt}0.5. Detecting clusters at higher redshifts is possible with deeper surveys. In this paper we present the theory behind the AMF and describe test results on synthetic galaxy catalogs. {copyright} {ital {copyright} 1999.} {ital The American Astronomical Society}},
doi = {10.1086/307160},
journal = {Astrophysical Journal},
number = 1,
volume = 517,
place = {United States},
year = {1999},
month = {5}
}