Alignment of brightest cluster galaxies with their host clusters
We examine the alignment between brightest cluster galaxies (BCGs) and their host clusters in a sample of 7031 clusters with 0.08 < z < 0.44 found using a matched-filter algorithm and an independent sample of 5744 clusters with 0.1 < z < 0.3 selected with the maxBCG algorithm, both extra...
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Published in | Monthly notices of the Royal Astronomical Society Vol. 405; no. 3; pp. 2023 - 2036 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.07.2010
Wiley-Blackwell Oxford University Press |
Subjects | |
Online Access | Get full text |
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Summary: | We examine the alignment between brightest cluster galaxies (BCGs) and their host clusters in a sample of 7031 clusters with 0.08 < z < 0.44 found using a matched-filter algorithm and an independent sample of 5744 clusters with 0.1 < z < 0.3 selected with the maxBCG algorithm, both extracted from the Sloan Digital Sky Survey Data Release 6 imaging data. We confirm that BCGs are preferentially aligned with the cluster’s major axis; clusters with dominant BCGs (>0.65 mag brighter than the mean of the second- and third-ranked galaxies) show stronger alignment than do clusters with less dominant BCGs at the 4.4σ level. Rich clusters show a stronger alignment than do poor clusters at the 2.3σ level. Low-redshift clusters (z < 0.26) show more alignment than do high-redshift (z > 0.26) clusters, with a difference significant at the 3.0σ level. Our results do not depend on the algorithm used to select the cluster sample, suggesting that they are not biased by systematics of either algorithm. The correlation between BCG dominance and cluster alignment may be a consequence of the hierarchical merging process which forms the cluster. The observed redshift evolution may follow from secondary infall at late redshifts. |
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Bibliography: | istex:CD12EDE43B03478B1D3633727D547C89A3971A7B ark:/67375/HXZ-M95HBJ81-V ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1111/j.1365-2966.2010.16597.x |