2020
DOI: 10.1051/0004-6361/202038638
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Constraining the origin and models of chemical enrichment in galaxy clusters using theAthenaX-IFU

Abstract: Chemical enrichment of the Universe at all scales is related to stellar winds and explosive supernovae phenomena. Metals produced by stars and later spread throughout the intracluster medium (ICM) at the megaparsec scale become a fossil record of the chemical enrichment of the Universe and of the dynamical and feedback mechanisms determining their circulation. As demonstrated by the results of the soft X-ray spectrometer onboard Hitomi, high-resolution X-ray spectroscopy is the path to differentiating among th… Show more

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Cited by 22 publications
(18 citation statements)
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“…In the IGrM, the inferred 3D sonic Mach number of turbulence is Ma t ∼ 0.3-0.5 [254,255], i.e., σ v of a few 100 km s −1 . This can complement upcoming spectral X-ray IFU studies carried out via XRISM and Athena (see Section 4), with detailed synthetic observations already highlighting unprecedented features of metals and turbulence in hot halos [256][257][258][259]. Moreover, constraining the turbulent metal evolution in the IGrM plasma phase enables to assess the kinematics of the top-down multiphase rain, since the condensed warm (Hα+[NII]) filaments and cold (CO, HI) clouds share analogous ensemble velocity dispersion [260][261][262][263].…”
Section: Figure 11mentioning
confidence: 62%
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“…In the IGrM, the inferred 3D sonic Mach number of turbulence is Ma t ∼ 0.3-0.5 [254,255], i.e., σ v of a few 100 km s −1 . This can complement upcoming spectral X-ray IFU studies carried out via XRISM and Athena (see Section 4), with detailed synthetic observations already highlighting unprecedented features of metals and turbulence in hot halos [256][257][258][259]. Moreover, constraining the turbulent metal evolution in the IGrM plasma phase enables to assess the kinematics of the top-down multiphase rain, since the condensed warm (Hα+[NII]) filaments and cold (CO, HI) clouds share analogous ensemble velocity dispersion [260][261][262][263].…”
Section: Figure 11mentioning
confidence: 62%
“…While the WFI is expected to discover a large number of high-redshift clusters and groups, the X-IFU will be able to investigate them spectroscopically with unprecedented resolving power. The promises of the latter have been thoroughly demonstrated in the case of clusters, in terms of spatial distribution of metals (Reference [257]; also see Section 3.2.1) but also of chemical composition and underlying stellar sources [259].…”
Section: Athenamentioning
confidence: 99%
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“…Many predictions of X-ray emission from hot haloes from numerical simulations have focussed on groups and clusters (e.g., Barnes et al 2017;Truong et al 2018;Cucchetti et al 2018;Mernier et al 2020), where much of the data is currently available and high photon counts will allow detailed information to be extracted. For EAGLE, Schaye et al (2015) have studied X-ray emission from groups and clusters, and Davies et al (2019) considered broad-band soft X-ray emission over a large range of halo masses and found it to be a good diagnostic of the CGM gas mass at fixed halo mass.…”
Section: Introductionmentioning
confidence: 99%
“…In the IGrM, the inferred 3D sonic Mach number of turbulence is Ma t ∼ 0.3 − 0.5 (Hofmann et al, 2016;Ogorzalek et al, 2017), i.e., σ v of a few 100 km s −1 . This can complement upcoming spectral X-ray IFU studies carried out via XRISM and Athena (see §4), with detailed synthetic observations already highlighting unprecedented features of metals and turbulence in hot halos (Lau et al, 2017;Cucchetti et al, 2018;Roncarelli et al, 2018;Mernier et al, 2020a). Moreover, constraining the turbulent metal evolution in the IGrM plasma phase enables to assess the kinematics of the top-down multiphase rain, since the condensed warm (Hα+[NII]) filaments and cold (CO, HI) clouds share analogous ensemble velocity dispersion (Gaspari et al, 2018;Tremblay et al, 2018;Rose et al, 2019;Simionescu et al, 2019b).…”
Section: Theoretical Framework and Simulationsmentioning
confidence: 59%