Radial temperature profiles for a large sample of galaxy clusters observed with XMM-Newton
A. Leccardi, S. Molendi

TL;DR
This study measures radial temperature profiles of about 50 galaxy clusters using XMM-Newton data, employing advanced background modeling and systematic error assessment to improve accuracy and compare with simulations.
Contribution
It introduces a novel approach using background modeling and detailed systematic analysis to reliably measure cluster temperature profiles at large radii.
Findings
Temperature declines beyond 0.2 R_{180}
Systematic uncertainties are quantified and controlled
Profiles are consistent with hydrodynamic simulations
Abstract
Aims. We measure, as far out as possible, radial temperature profiles for a sample of ~50 hot, intermediate redshift galaxy clusters, selected from the XMM-Newton archive, keeping systematic errors under control. Methods. Our work is characterized by two major improvements. Firstly, we use the background modeling, rather than the background subtraction, and the Cash statistic rather than the chi square; this method requires a careful characterization of all background components. Secondly, we assess in details systematic effects. We perform two groups of test: prior to the analysis, we make use of extensive simulations to quantify the impact of different spectral components on simulated spectra; after the analysis, we investigate how the measured temperature profile changes, when choosing different key parameters. Results. The mean temperature profile declines beyond 0.2 R_{180};…
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