2011
DOI: 10.1051/0004-6361/201016015
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Massive and refined

Abstract: We study the properties of chaotic motions in the intra cluster medium using a set of 20 galaxy clusters simulated with large dynamical range, using the adaptive mesh refinement code ENZO. The adopted setup allows us to study the spectral and spatial properties of turbulent motions in galaxy clusters with unprecedented detail, achieving an maximum available Reynolds number of the order of R e ∼ 500−1000 for the largest eddies. We investigated the correlations between the energy of these motions in the intra cl… Show more

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Cited by 197 publications
(334 citation statements)
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“…The character of the ICM gas flows and the presence of turbulence in our simulated cluster is consistent with other highresolution simulation studies in the literature (e.g., Dolag et al 2005;Vazza et al 2011a;Miniati 2014;Schmidt et al 2014), with quantitative differences related to the specific analysis techniques. In the limited context of high-resolution grid-based simulations of non-radiative clusters, the pressure support from turbulence in the cluster core has, for example, been estimated in the range ∼ 5 − 15% of the gas pressure using the total, global gas velocity dispersion (e.g., Lau et al 2009;Nelson et al 2014), or, say ∼ 5 − 20% from large-scale, incoherent, but fixed scale velocity distributions, Vazza et al (2011a).…”
Section: Comparison To Previous Worksupporting
confidence: 76%
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“…The character of the ICM gas flows and the presence of turbulence in our simulated cluster is consistent with other highresolution simulation studies in the literature (e.g., Dolag et al 2005;Vazza et al 2011a;Miniati 2014;Schmidt et al 2014), with quantitative differences related to the specific analysis techniques. In the limited context of high-resolution grid-based simulations of non-radiative clusters, the pressure support from turbulence in the cluster core has, for example, been estimated in the range ∼ 5 − 15% of the gas pressure using the total, global gas velocity dispersion (e.g., Lau et al 2009;Nelson et al 2014), or, say ∼ 5 − 20% from large-scale, incoherent, but fixed scale velocity distributions, Vazza et al (2011a).…”
Section: Comparison To Previous Worksupporting
confidence: 76%
“…Our results here, as well as previous cluster simulations are roughly consistent with the behaviour of solenoidal turbulence fol-lowing the classic, Kolmogorov picture in which |δ v| ∝ L 1/3 n ((e.g., Ryu et al 2008;Xu et al 2011;Vazza et al 2011a;Miniati 2014). Consequently, while the r.m.s turbulent velocity or the total turbulent pressure depend on Ln, the solenoidal kinetic energy cascade flux, defined as:…”
Section: Filtering Of Turbulent Motionssupporting
confidence: 76%
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