The LPSZ-CLASH galaxy cluster sample: combining lensing and hydrostatic mass estimates

TL;DR

This paper combines lensing and hydrostatic mass estimates for a sample of galaxy clusters to analyze mass biases, substructures, and dynamical states, enhancing understanding of cluster mass measurements.

Contribution

It introduces a combined analysis of lensing and hydrostatic mass estimates using multi-wavelength data for six galaxy clusters, providing new insights into mass bias and cluster dynamics.

Findings

Quantified hydrostatic mass to lensing mass bias across different cluster morphologies.

Identified substructures and dynamical states through 2D map analysis.

Provided systematic comparison of mass estimates from different methods.

Abstract

Starting from the clusters included in the NIKA sample and in the NIKA2 Sunyaev-Zel'dovich Large Program (LPSZ) we have selected a sample of six common objects with the Cluster Lensing And Supernova survey with Hubble (CLASH) lensing data. For the LPSZ clusters we have at our disposal both high-angular resolution observations of the thermal SZ with NIKA and NIKA2 and X-ray observations with XMM-Newton from which hydrostatic mass estimates can be derived. In addition, the CLASH dataset includes lensing convergence maps that can be converted into lensing estimates of the total mass of the cluster. One-dimensional mass profiles are used to derive integrated mass estimates accounting for systematic effects (data processing, modeling, etc.). Two-dimensional analysis of the maps can reveal substructures in the cluster and, therefore, inform us about the dynamical state of each system. Moreover, we are able to study the hydrostatic mass to lensing mass bias, across different morphology and a range of redshift clusters to give more insight on the hydrostatic mass bias. The analysis presented in this proceeding follows the study discussed in Ferragamo et al. 2021.