TY - JOUR
T1 - Shock-multicloud interactions in galactic outflows - I. Cloud layers with lognormal density distributions
AU - Banda-Barragán, W. E.
AU - Brüggen, M.
AU - Federrath, C.
AU - Wagner, A. Y.
AU - Scannapieco, E.
AU - Cottle, J.
N1 - Funding Information:
We thank the anonymous referees for their detailed and constructive report. WBB is supported by the Deutsche Forschungsgemeinschaft (DFG) via grant BR2026125. WBB also thanks for support from the National Secretariat of Higher Education, Science, Technology, and Innovation of Ecuador, SENESCYT. CF acknowledges funding provided by the Australian Research Council (Discovery Project DP170100603 and Future Fellowship FT180100495), and the Australia-Germany Joint Research Cooperation Scheme (UA-DAAD). AYW is partially supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI grant 19K03862. ES was supported by NSF grant AST-1715876. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www. gauss-centre.eu) for funding this project (PN34QU) by providing computing time on the GCS Supercomputer SuperMUC-NG at the Leibniz Supercomputing Centre (www.lrz.de) and on the GCS Supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects 16072 and 19590. We further acknowledge computing resources provided by these centres for grants PR32LO, PR48PI, and GCS Large-scale project 10391, and by the Australian National Computational Infrastructure for grant EK9 in the framework of the National Computational Merit Allocation Scheme and the ANU Merit Allocation Scheme. This work has made use of the VISIT visualization software (Childs et al. 2012), the GDL language (Coulais 2019), and the gnuplot program (http://www.gnuplot.info).
Publisher Copyright:
© 2020 The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - We report three-dimensional hydrodynamical simulations of shocks (Mshock ≥ 4) interacting with fractal multicloud layers. The evolution of shock-multicloud systems consists of four stages: a shock-splitting phase in which reflected and refracted shocks are generated, a compression phase in which the forward shock compresses cloud material, an expansion phase triggered by internal heating and shock re-acceleration, and a mixing phase in which shear instabilities generate turbulence. We compare multicloud layers with narrow (σρ = 1.9 ρ¯) and wide (σρ = 5.9 ρ¯) lognormal density distributions characteristic of Mach ≈ 5 supersonic turbulence driven by solenoidal and compressive modes. Our simulations show that outflowing cloud material contains imprints of the density structure of their native environments. The dynamics and disruption of multicloud systems depend on the porosity and the number of cloudlets in the layers. 'Solenoidal' layersmix less, generate less turbulence, accelerate faster, and form amore coherent mixed-gas shell than the more porous 'compressive' layers. Similarly, multicloud systems with more cloudlets quench mixing via a shielding effect and enhance momentum transfer. Mass loading of diffuse mixed gas is efficient in all models, but direct dense gas entrainment is highly inefficient. Dense gas only survives in compressive clouds, but has low speeds. If normalized with respect to the shock-passage time, the evolution shows invariance for shock Mach numbers ≥10 and different cloud-generating seeds, and slightly weaker scaling for lower Mach numbers and thinner cloud layers. Multicloud systems also have better convergence properties than single-cloud systems, with a resolution of eight cells per cloud radius being sufficient to capture their overall dynamics.
AB - We report three-dimensional hydrodynamical simulations of shocks (Mshock ≥ 4) interacting with fractal multicloud layers. The evolution of shock-multicloud systems consists of four stages: a shock-splitting phase in which reflected and refracted shocks are generated, a compression phase in which the forward shock compresses cloud material, an expansion phase triggered by internal heating and shock re-acceleration, and a mixing phase in which shear instabilities generate turbulence. We compare multicloud layers with narrow (σρ = 1.9 ρ¯) and wide (σρ = 5.9 ρ¯) lognormal density distributions characteristic of Mach ≈ 5 supersonic turbulence driven by solenoidal and compressive modes. Our simulations show that outflowing cloud material contains imprints of the density structure of their native environments. The dynamics and disruption of multicloud systems depend on the porosity and the number of cloudlets in the layers. 'Solenoidal' layersmix less, generate less turbulence, accelerate faster, and form amore coherent mixed-gas shell than the more porous 'compressive' layers. Similarly, multicloud systems with more cloudlets quench mixing via a shielding effect and enhance momentum transfer. Mass loading of diffuse mixed gas is efficient in all models, but direct dense gas entrainment is highly inefficient. Dense gas only survives in compressive clouds, but has low speeds. If normalized with respect to the shock-passage time, the evolution shows invariance for shock Mach numbers ≥10 and different cloud-generating seeds, and slightly weaker scaling for lower Mach numbers and thinner cloud layers. Multicloud systems also have better convergence properties than single-cloud systems, with a resolution of eight cells per cloud radius being sufficient to capture their overall dynamics.
KW - ISM: clouds
KW - galaxies: ISM
KW - galaxies: starburst
KW - hydrodynamics
KW - methods: numerical
KW - turbulence
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U2 - 10.1093/mnras/staa2904
DO - 10.1093/mnras/staa2904
M3 - Article
AN - SCOPUS:85096819629
SN - 0035-8711
VL - 499
SP - 2173
EP - 2195
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -