Quantifying substructures in {\it Hubble Frontier Field} clusters: comparison with $\Lambda CDM$ simulations
Irshad Mohammed, Prasenjit Saha, Liliya L. R. Williams, Jori, Liesenborgs, Kevin Sebesta

TL;DR
This study compares the substructure power spectrum of Hubble Frontier Field galaxy clusters, derived from lensing data, with that of simulated clusters, revealing differences likely due to observational limitations or simulation overestimations.
Contribution
It introduces a method to measure cluster substructure using the 2D power spectrum from lensing data without light-traces-mass assumptions and compares it with simulations.
Findings
Lensing-derived power spectra show lower small-scale power than simulations.
LTM assumptions inflate small-scale power in reconstructions.
Lower redshift clusters and deeper data yield higher small-scale power.
Abstract
The Hubble Frontier Fields (HFF) are six clusters of galaxies, all showing indications of recent mergers, which have recently been observed for lensed images. As such they are the natural laboratories to study the merging history of galaxy clusters. In this work, we explore the 2D power spectrum of the mass distribution as a measure of substructure. We compare of these clusters (obtained using strong gravitational lensing) to that of CDM simulated clusters of similar mass. To compute lensing , we produced free-form lensing mass reconstructions of HFF clusters, without any light traces mass (LTM) assumption. The inferred power at small scales tends to be larger if (i)~the cluster is at lower redshift, and/or (ii)~there are deeper observations and hence more lensed images. In contrast, lens reconstructions assuming LTM show higher power…
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