Probing dark energy via galaxy cluster outskirts
Andrea Morandi, Ming Sun

TL;DR
This paper introduces a Bayesian method combining Planck and Chandra data to analyze galaxy cluster outskirts, providing new constraints on dark energy models and the equation of state of dark energy.
Contribution
It presents a novel cosmological test using galaxy cluster outskirts and demonstrates its robustness and potential for advancing dark energy research.
Findings
Constraints favor a cosmological constant with w=-1
No evidence found for dynamic dark energy
Method is robust against various systematics
Abstract
We present a Bayesian approach to combine data and the X-ray physical properties of the intracluster medium in the virialization region of a sample of 320 galaxy clusters (, keV) observed with . We exploited the high-level of similarity of the emission measure in the cluster outskirts as cosmology proxy. The cosmological parameters are thus constrained assuming that the emission measure profiles at different redshift are weakly self-similar, that is their shape is universal, explicitly allowing for temperature and redshift dependence of the gas fraction. This cosmological test, in combination with +SNIa data, allows us to put a tight constraint on the dark energy models. For a constant- model, we have and , while for a time-evolving equation of state of dark energy we have…
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