2017
DOI: 10.1093/mnras/stx737
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On the effective turbulence driving mode of molecular clouds formed in disc galaxies

Abstract: We determine the physical properties and turbulence driving mode of molecular clouds formed in numerical simulations of a Milky Way-type disc galaxy with parsec-scale resolution. The clouds form through gravitational fragmentation of the gas, leading to average values for mass, radii and velocity dispersion in good agreement with observations of Milky Way clouds. The driving parameter (b) for the turbulence within each cloud is characterised by the ratio of the density contrast (σ ρ/ρ0 ) to the average Mach nu… Show more

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Cited by 40 publications
(21 citation statements)
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“…This is consistent with the emerging picture from global simulations of molecular cloud formation in spiral structures (e.g. Jin et al 2017), where molecular cloud turbulence parameters assume a spectrum of values depending on the details of their shock ingress/egress. Figure 7 shows the velocity dispersion in all three coordinates for MHD runs without self-gravity.…”
Section: Pure Hydrodynamic Runssupporting
confidence: 89%
“…This is consistent with the emerging picture from global simulations of molecular cloud formation in spiral structures (e.g. Jin et al 2017), where molecular cloud turbulence parameters assume a spectrum of values depending on the details of their shock ingress/egress. Figure 7 shows the velocity dispersion in all three coordinates for MHD runs without self-gravity.…”
Section: Pure Hydrodynamic Runssupporting
confidence: 89%
“…The value of b is important, as the flow dynamics, density structure and the subsequent star formation rate depend on it (Federrath et al 2008;Federrath et al 2010a;Price et al 2011;Konstandin et al 2012;Padoan et al 2014;Federrath & Banerjee 2015;Nolan et al 2015); with compressive driving resulting in broader density probability distribution functions (PDFs) and star formation rates approximately an order of magnitude larger than for solenoidal driving Federrath et al 2016;Federrath 2018). The values of b have been studied systematically for different driving sources of turbulence in numerical simulations (Pan et al 2016;Körtgen et al 2017;Jin et al 2017), and observations also find a significant variation in b across different clouds in the Milky Way (Padoan et al 1997;Brunt 2010;Ginsburg et al 2013;Kainulainen, J. et al 2013;Federrath et al 2016;.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, numerical simulations of molecular cloud formation in disc galaxies and idealised colliding flow setups predict a range of b values emerging in different cloud environments and at different times (Jin et al 2017;Körtgen et al 2017). These studies suggest that a single constant b value cannot be used to describe the turbulence driving of all clouds, but instead that b can vary significantly from cloud to cloud, covering the full range from solenoidal to compressive driving.…”
Section: Introductionmentioning
confidence: 99%