Convergence and shear statistics in galaxy clusters as a result of Monte Carlo simulations

TL;DR

This study uses Monte Carlo simulations to analyze how galaxy cluster environments influence gravitational lensing effects, specifically shear and convergence, considering various cluster properties and redshifts.

Contribution

It introduces a comprehensive simulation framework for assessing external shear and convergence in galaxy clusters with variable parameters within the b1CDM model.

Findings

Robust statistical estimates of shear and convergence across different cluster configurations.

Quantitative relations between cluster properties and lensing effects.

Modeling of magnification effects for a specific galaxy lens IRC-0218.

Abstract

In this paper the influence of galaxy cluster halo environment on the deflection properties of its galaxies is investigated. For this purpose circular and elliptical projected cluster haloes obeying Einasto density profiles are multiply simulated in the $\Lambda$CDM cosmological model. Using Monte-Carlo technique external shear and convergence are calculated for random positions of a test galaxy within its cluster. Throughout the simulations the total virial mass, profile concentration and slope parameters are varied both for cluster and its constituent galaxies. The cluster is composed of smooth matter distribution (intergalactic gas and dark matter) and randomly positioned galaxies. As a result of multiple runs robust statistical estimations of external shear and convergence in relation to variable cluster characteristics and and its redshift are derived. In addition, for the galaxy lens seen through the cluster IRC-0218 magnification caused by external cluster mass distribution is modelled.