Galaxy and Mass Assembly (GAMA): Selection of the Most Massive Clusters

TL;DR

This paper introduces a novel galaxy cluster detection method combining DTFE and caustic analysis, successfully identifying 113 clusters across a wide mass range in the GAMA survey, with results comparable to SZ-selected clusters.

Contribution

The paper presents a new technique for galaxy cluster detection that covers a broader mass range than previous methods, enhancing cluster identification in large surveys.

Findings

Identified 113 galaxy clusters in GAMA survey.

Cluster density comparable to SZ-selected clusters.

Analyzed the two-point correlation function of the cluster sample.

Abstract

We have developed a galaxy cluster finding technique based on the Delaunay Tessellation Field Estimator (DTFE) combined with caustic analysis. Our method allows us to recover clusters of galaxies within the mass range of 10^12 to 10^16 Msun. We have found a total of 113 galaxy clusters in the Galaxy and Mass Assembly survey (GAMA). In the corresponding mass range, the density of clusters found in this work is comparable to the density traced by clusters selected by the thermal Sunyaev Zel'dovich Effect; however, we are able to cover a wider mass range. We present the analysis of the two-point correlation function for our cluster sample.