Astrophysics > Cosmology and Nongalactic Astrophysics
[Submitted on 30 Apr 2018
(this version)
, latest version 31 Oct 2018 (v3)
]
Title: Hydrostatic mass profiles in X-COP galaxy clusters
Title: X-COP星系团的静压质量分布
Abstract: We present the reconstruction of the hydrostatic mass profiles in 13 X-ray luminous galaxy clusters that have been mapped in their X-ray and SZ signal out to $R_{200}$ for the XMM Cluster Outskirt Project (X-COP). Using profiles of the gas temperature, density and pressure that have been spatially resolved out to $0.9 R_{500}$, $1.8 R_{500}$, and $2.3 R_{500}$, 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) error of 3% at $R_{500}$ and 6% at $R_{200}$. We evaluate some of the systematic uncertainties to be in the order of 5% at both $R_{500}$ and $R_{200}$. A Navarro-Frenk-White profile provides the best-fit in 9 cases, 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. We compare them with the estimates of the total gravitational mass obtained through X-ray scaling relations, and from weak lensing and galaxy dynamics techniques, and measure a substantial agreement with the results from scaling laws, from WL at both $R_{500}$ and $R_{200}$, from cluster velocity dispersions, but a significant tension with the caustic masses that tend to underestimate the hydrostatic masses by 40% at $R_{200}$. We also compare these measurements with predictions from alternative models to CDM, like the Emergent Gravity and MOND scenarios, confirming that the latter underestimates the hydrostatic masses by 40% at $R_{1000}$, with a decreasing tension as the radius increases, and reaches $\sim$15% at $R_{200}$, whereas the former reproduces $M_{500}$ within 10%, but overestimates $M_{200}$ by about 20%.
Submission history
From: Stefano Ettori [view email][v1] Mon, 30 Apr 2018 18:00:47 UTC (776 KB)
[v2] Thu, 4 Oct 2018 08:41:03 UTC (783 KB)
[v3] Wed, 31 Oct 2018 12:03:23 UTC (785 KB)
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