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The Galaxy Cluster Concentration-Mass Scaling Relation
Journal article   Open access

The Galaxy Cluster Concentration-Mass Scaling Relation

Austen M Groener, David M Goldberg and Mauro Sereno
Monthly notices of the Royal Astronomical Society, v 455(1), pp 892-919
07 Oct 2015
url
https://doi.org/10.1093/mnras/stv2341View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Physics - Cosmology and Nongalactic Astrophysics
MNRAS (January 01, 2016) Volume 455, Issue 1: 892-919 Scaling relations of clusters have made them particularly important cosmological probes of structure formation. In this work, we present a comprehensive study of the relation between two profile observables, concentration ($\mathrm{c_{vir}}$) and mass ($\mathrm{M_{vir}}$). We have collected the largest known sample of measurements from the literature which make use of one or more of the following reconstruction techniques: Weak gravitational lensing (WL), strong gravitational lensing (SL), Weak+Strong Lensing (WL+SL), the Caustic Method (CM), Line-of-sight Velocity Dispersion (LOSVD), and X-ray. We find that the concentration-mass (c-M) relation is highly variable depending upon the reconstruction technique used. We also find concentrations derived from dark matter only simulations (at approximately $\mathrm{M_{vir} \sim 10^{14} M_{\odot}}$) to be inconsistent with the WL and WL+SL relations at the $\mathrm{1\sigma}$ level, even after the projection of triaxial halos is taken into account. However, to fully determine consistency between simulations and observations, a volume-limited sample of clusters is required, as selection effects become increasingly more important in answering this. Interestingly, we also find evidence for a steeper WL+SL relation as compared to WL alone, a result which could perhaps be caused by the varying shape of cluster isodensities, though most likely reflects differences in selection effects caused by these two techniques. Lastly, we compare concentration and mass measurements of individual clusters made using more than one technique, highlighting the magnitude of the potential bias which could exist in such observational samples.

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