SZ-X-ray Surface Brightness Fluctuations in the SPT-XMM clusters

Fuente: arXiv
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Main Authors: Romero, Charles, Gaspari, Massimo, Schellenberger, Gerrit, Benson, Bradford A., Bleem, Lindsey E., Bulbul, Esra, Forman, William, Kraft, Ralph, Nulsen, Paul, Reichardt, Christian L., Sarkar, Arnab, Somboonpanyakul, Taweewat, Su, Yuanyuan
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Published: 2024
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author Romero, Charles
Gaspari, Massimo
Schellenberger, Gerrit
Benson, Bradford A.
Bleem, Lindsey E.
Bulbul, Esra
Forman, William
Kraft, Ralph
Nulsen, Paul
Reichardt, Christian L.
Sarkar, Arnab
Somboonpanyakul, Taweewat
Su, Yuanyuan
author_facet Romero, Charles
Gaspari, Massimo
Schellenberger, Gerrit
Benson, Bradford A.
Bleem, Lindsey E.
Bulbul, Esra
Forman, William
Kraft, Ralph
Nulsen, Paul
Reichardt, Christian L.
Sarkar, Arnab
Somboonpanyakul, Taweewat
Su, Yuanyuan
contents The hot plasma in galaxy clusters, the intracluster medium (ICM), is expected to be shaped by subsonic turbulent motions, which are key for heating, cooling, and transport mechanisms. The turbulent motions contribute to the non-thermal pressure which, if not accounted for, consequently imparts a hydrostatic mass bias. Accessing information about turbulent motions is thus of major astrophysical and cosmological interest. Characteristics of turbulent motions can be indirectly accessed through surface brightness fluctuations. This study expands on our pilot investigations of surface brightness fluctuations in the SZ and X-ray by examining, for the first time, a large sample of 60 clusters using \textit{both} SPT-SZ and XMM-Newton data and span the redshift range $0.2 < z < 1.5$, thus constraining the respective pressure and density fluctuations within 0.6~$R_{500}$. We deem density fluctuations to be of sufficient quality for 32 clusters, finding mild correlations between the peak of the amplitude spectra of density fluctuations and various dynamical parameters. We infer turbulent velocities from density fluctuations with an average Mach number $\mathcal{M}_{\text{3D}} = 0.52 \pm 0.14$, in agreement with numerical simulations. For clusters with inferred turbulent Mach numbers from both pressure, $\mathcal{M}_{\text{P}}$ and density fluctuations, $\mathcal{M}_ρ$, we find broad agreement between $\mathcal{M}_{\text{P}}$ and $\mathcal{M}_ρ$. Our results suggest either a bimodal or skewed unimodal Mach number distribution, with the majority of clusters being turbulence-dominated (subsonic) while the remainder are shock-dominated (supersonic).
format Preprint
id arxiv_https___arxiv_org_abs_2412_05478
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SZ-X-ray Surface Brightness Fluctuations in the SPT-XMM clusters
Romero, Charles
Gaspari, Massimo
Schellenberger, Gerrit
Benson, Bradford A.
Bleem, Lindsey E.
Bulbul, Esra
Forman, William
Kraft, Ralph
Nulsen, Paul
Reichardt, Christian L.
Sarkar, Arnab
Somboonpanyakul, Taweewat
Su, Yuanyuan
Cosmology and Nongalactic Astrophysics
The hot plasma in galaxy clusters, the intracluster medium (ICM), is expected to be shaped by subsonic turbulent motions, which are key for heating, cooling, and transport mechanisms. The turbulent motions contribute to the non-thermal pressure which, if not accounted for, consequently imparts a hydrostatic mass bias. Accessing information about turbulent motions is thus of major astrophysical and cosmological interest. Characteristics of turbulent motions can be indirectly accessed through surface brightness fluctuations. This study expands on our pilot investigations of surface brightness fluctuations in the SZ and X-ray by examining, for the first time, a large sample of 60 clusters using \textit{both} SPT-SZ and XMM-Newton data and span the redshift range $0.2 < z < 1.5$, thus constraining the respective pressure and density fluctuations within 0.6~$R_{500}$. We deem density fluctuations to be of sufficient quality for 32 clusters, finding mild correlations between the peak of the amplitude spectra of density fluctuations and various dynamical parameters. We infer turbulent velocities from density fluctuations with an average Mach number $\mathcal{M}_{\text{3D}} = 0.52 \pm 0.14$, in agreement with numerical simulations. For clusters with inferred turbulent Mach numbers from both pressure, $\mathcal{M}_{\text{P}}$ and density fluctuations, $\mathcal{M}_ρ$, we find broad agreement between $\mathcal{M}_{\text{P}}$ and $\mathcal{M}_ρ$. Our results suggest either a bimodal or skewed unimodal Mach number distribution, with the majority of clusters being turbulence-dominated (subsonic) while the remainder are shock-dominated (supersonic).
title SZ-X-ray Surface Brightness Fluctuations in the SPT-XMM clusters
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2412.05478