AMICO galaxy clusters in KiDS-DR3: sample properties and selection function

We present the first catalogue of galaxy cluster candidates derived from the third data release of the Kilo Degree Survey (KiDS-DR3). The sample of clusters has been produced using the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm. In this analysis AMICO takes advantage of the l...

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Bibliographic Details
Published in:arXiv.org 2018-10
Main Authors: Maturi, Matteo, Bellagamba, Fabio, Radovich, Mario, Roncarelli, Mauro, Sereno, Mauro, Moscardini, Lauro, Bardelli, Sandro, Puddu, Emanuella
Format: Article
Language:English
Subjects:
Algorithms
Astronomical catalogs
Computer simulation
Galactic clusters
Galaxies
Galaxy distribution
Luminosity
Mathematical models
Missing data
Physical properties
Purity
Red shift
Spatial data
Spatial distribution
Star & galaxy formation
Stars & galaxies
Statistical analysis
Uncertainty
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Summary:We present the first catalogue of galaxy cluster candidates derived from the third data release of the Kilo Degree Survey (KiDS-DR3). The sample of clusters has been produced using the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm. In this analysis AMICO takes advantage of the luminosity and spatial distribution of galaxies only, not considering colours. In this way, we prevent any selection effect related to the presence or absence of the red-sequence in the clusters. The catalogue contains 7988 candidate galaxy clusters in the redshift range 0.1
ISSN:2331-8422
DOI:10.48550/arxiv.1810.02811