3D-Matched-Filter Galaxy Cluster Finder I: Selection Functions and CFHTLS Deep Clusters

We present an optimised galaxy cluster finder, 3D-Matched-Filter (3D-MF), which utilises galaxy cluster radial profiles, luminosity functions and redshift information to detect galaxy clusters in optical surveys. This method is an improvement over other matched-filter methods, most notably through i...

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Bibliographic Details
Published in:arXiv.org 2010-10
Main Authors: Milkeraitis, M, L Van Waerbeke, Heymans, C, Hildebrandt, H, Dietrich, J P, Erben, T
Format: Article
Language:English
Subjects:
Completeness
Galactic clusters
Luminosity
Milky Way Galaxy
Red shift
Slicing
Star & galaxy formation
Online Access:Get full text
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Summary:We present an optimised galaxy cluster finder, 3D-Matched-Filter (3D-MF), which utilises galaxy cluster radial profiles, luminosity functions and redshift information to detect galaxy clusters in optical surveys. This method is an improvement over other matched-filter methods, most notably through implementing redshift slicing of the data to significantly reduce line-of-sight projections and related false positives. We apply our method to the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) Deep fields, finding ~170 galaxy clusters per square degree in the 0.2
ISSN:2331-8422
DOI:10.48550/arxiv.0912.0739