Galaxy Cluster Mass Estimation Through The Splashback Radius
Lucas Gabriel-Silva, Laerte Sodr\'e Jr

TL;DR
This paper analyzes the splashback radius of galaxy clusters using SDSS data and simulations, revealing discrepancies with dark matter models and proposing new scaling relations for cluster mass estimation.
Contribution
It introduces a method to measure the splashback radius and mass from galaxy profiles, highlighting observed deviations from simulation predictions and proposing a new scaling relation.
Findings
Observed splashback radii are smaller than dark matter simulation predictions.
Splashback mass correlates strongly with radius, with ~0.15 dex dispersion.
The $M_{sp}$–$R_{sp}$ relation shows redshift evolution.
Abstract
We present an analysis of the splashback radius () and the associated splashback mass () for a sample of galaxy clusters using SDSS spectroscopic data and mock simulations. marks a physical boundary between the virialized core and the outer infall regions of clusters, providing a robust measure of cluster mass accretion history without being affected by pseudo-evolution. We model the cumulative galaxy number profile of clusters, testing different halo density models and considering the impact of cluster properties, such as center definitions, magnitude limits, galaxy colors, and field contamination, on the estimation of splashback features. Our results show that observed splashback radii, measured in projection (2D), are consistently smaller than predicted by dark matter simulations, with , supporting previous…
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