Hydrostatic mass profiles in X-COP galaxy clusters
arXiv:1805.00035 · doi:10.1051/0004-6361/201833323
Abstract
We present the reconstruction of hydrostatic mass profiles in 13 X-ray luminous galaxy clusters that have been mapped in their X-ray and SZ signal out to for the XMM-Newton Cluster Outskirts Project (X-COP). Using profiles of the gas temperature, density and pressure that have been spatially resolved out to (median value) 0.9 , 1.8 , and 2.3 , respectively, we are able to recover the hydrostatic gravitating mass profile with several methods and using different mass models. The hydrostatic masses are recovered with a relative (statistical) median error of 3% at and 6% at . By using several different methods to solve the equation of the hydrostatic equilibrium, we evaluate some of the systematic uncertainties to be of the order of 5% at both and . A Navarro-Frenk-White profile provides the best-fit in nine cases out of 13, with the remaining four cases that do not show a statistically significant tension with it. The distribution of the mass concentration follows the correlations with the total mass predicted from numerical simulations with a scatter of 0.18 dex, with an intrinsic scatter on the hydrostatic masses of 0.15 dex. We compare them with the estimates of the total gravitational mass obtained through X-ray scaling relations applied to , gas fraction and , and from weak lensing and galaxy dynamics techniques, and measure a substantial agreement with the results from scaling laws, from WL at both and (with differences below 15%), from cluster velocity dispersions, but a significant tension with the caustic masses that tend to underestimate the hydrostatic masses by 40% at . We also compare these measurements with predictions from alternative models to the Cold Dark Matter, like the "Emergent Gravity" and MOND scenarios.
14 pages, 8 figures, 4 tables. Updated to match the version accepted for publication in A&A. This is one of the three companion papers (including Ghirardini et al. and Eckert et al.) on the X-COP sample. X-COP data products are available for download on https://www.astro.unige.ch/xcop
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