The Observed Growth of Massive Galaxy Clusters I: Statistical Methods and Cosmological Constraints
Adam Mantz (1), Steven W. Allen (1), David Rapetti (1), Harald Ebeling, (2) ((1) KIPAC, Stanford/SLAC, (2) IfA, Hawaii)

TL;DR
This paper introduces a new statistical framework for analyzing galaxy cluster data to simultaneously constrain cosmological parameters and X-ray scaling relations, demonstrating competitive results with other cosmological probes.
Contribution
The paper presents a novel statistical method for joint analysis of galaxy cluster observations and cosmology, improving constraints on dark energy models.
Findings
Cluster data constrain Omega_m, sigma_8, and w with competitive precision.
Combined data sets tighten cosmological parameter constraints.
The framework is applicable to multi-wavelength cluster studies.
Abstract
(Abridged) This is the first of a series of papers in which we derive simultaneous constraints on cosmological parameters and X-ray scaling relations using observations of the growth of massive, X-ray flux-selected galaxy clusters. Our data set consists of 238 clusters drawn from the ROSAT All-Sky Survey, and incorporates extensive follow-up observations using the Chandra X-ray Observatory. Here we describe and implement a new statistical framework required to self-consistently produce simultaneous constraints on cosmology and scaling relations from such data, and present results on models of dark energy. In spatially flat models with a constant dark energy equation of state, w, the cluster data yield Omega_m=0.23 +- 0.04, sigma_8=0.82 +- 0.05, and w=-1.01 +- 0.20, marginalizing over conservative allowances for systematic uncertainties. These constraints agree well and are competitive…
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