Searching for galaxy clusters in the Kilo-Degree Survey

Abstract

In this paper, we present the tools used to search for galaxy clusters in the Kilo Degree Survey (KiDS), and our first results. The cluster detection is based on an implementation of the optimal filtering technique that enables us to identify clusters as over-densities in the distribution of galaxies using their positions on the sky, magnitudes, and photometric redshifts. The contamination and completeness of the cluster catalog are derived using mock catalogs based on the data themselves. The optimal signal to noise threshold for the cluster detection is obtained by randomizing the galaxy positions and selecting the value that produces a contamination of less than 20%. Starting from a subset of clusters detected with high significance at low redshifts, we shift them to higher redshifts to estimate the completeness as a function of redshift: the average completeness is ~ 85%. An estimate of the mass of the clusters is derived using the richness as a proxy. We obtained 1858 candidate clusters with redshift 0 < z_c < 0.7 and mass 13.5 < log(M500/Msun) < 15 in an area of 114 sq. degrees (KiDS ESO-DR2). A comparison with publicly available Sloan Digital Sky Survey (SDSS)-based cluster catalogs shows that we match more than 50% of the clusters (77% in the case of the redMaPPer catalog). We also cross-matched our cluster catalog with the Abell clusters, and clusters found by XMM and in the Planck-SZ survey; however, only a small number of them lie inside the KiDS area currently available.

13 pages, 15 figures. Accepted for publication on Astronomy & Astrophysics

References in corpus (11)

• The Galaxy Content of SDSS Clusters and Groups
• Calibration of the optical mass proxy for clusters of galaxies and an update of the WHL12 cluster catalog
• An Optical Catalog of Galaxy Clusters Obtained from an Adaptive Matched Filter Finder Applied to SDSS DR6
• Simultaneous Falsification of LCDM and Quintessence with Massive, Distant Clusters
• Cross-correlation Weak Lensing of SDSS Galaxy Clusters III: Mass-to-light Ratios
• RASS-SDSS Galaxy Cluster Survey. V. The X-ray-Underluminous Abell Clusters
• Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data
• A Spectro-photometric Search for Galaxy Clusters in SDSS
• A Systematic Search for High Surface Brightness Giant Arcs in a Sloan Digital Sky Survey Cluster Sample
• Variability-selected Active Galactic Nuclei in the VST-SUDARE/VOICE Survey of the COSMOS Field
• Optical Cluster-Finding with An Adaptive Matched-Filter Technique: Algorithm and Comparison with Simulations

Cited by in corpus (12)

• KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics - II: Inference from Shear Peaks using N-body Simulations
• KiDS-450: Cosmological Constraints from Weak Lensing Peak Statistics-I: Inference from Analytical Prediction of High Signal-to-Noise Ratio Convergence Peaks
• A catalogue of clusters of galaxies identified from all sky surveys of 2MASS, WISE, and SuperCOSMOS
• AMICO galaxy clusters in KiDS-DR3: Measurement of the halo bias and power spectrum normalization from a stacked weak lensing analysis
• AMICO galaxy clusters in KiDS-DR3: galaxy population properties and their redshift dependence
• AMICO galaxy clusters in KiDS-DR3: Evolution of the luminosity function between z=0.1 and z=0.8
• CoMaLit -- VI. Intrinsic scatter in stacked relations. The weak lensing AMICO galaxy clusters in KiDS-DR3
• Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection
• AMICO galaxy clusters in KiDS-DR3: constraints on $\Lambda$CDM from extreme value statistics
• The uncommon intracluster medium features of the first massive clusters selected independently of their baryon content
• VST ATLAS Galaxy Cluster Catalogue I: cluster detection and mass calibration
• AMICO galaxy clusters in KiDS-DR3: the impact of estimator statistics on the luminosity-mass scaling relation