SIMBAD references

2013ApJ...776....1K - Astrophys. J., 776, 1 (2013/October-2)

Three-dimensional hydrodynamic simulations of multiphase galactic disks with star formation feedback. I. Regulation of star formation rates.

KIM C.-G., OSTRIKER E.C. and KIM W.-T.

Abstract (from CDS):

The energy and momentum feedback from young stars has a profound impact on the interstellar medium (ISM), including heating and driving turbulence in the neutral gas that fuels future star formation. Recent theory has argued that this leads to a quasi-equilibrium self-regulated state, and for outer atomic-dominated disks results in the surface density of star formation ΣSFR varying approximately linearly with the weight of the ISM (or midplane turbulent + thermal pressure). We use three-dimensional numerical hydrodynamic simulations to test the theoretical predictions for thermal, turbulent, and vertical dynamical equilibrium, and the implied functional dependence of ΣSFR on local disk properties. Our models demonstrate that all equilibria are established rapidly, and that the expected proportionalities between mean thermal and turbulent pressures and ΣSFRapply. For outer disk regions, this results in ΣSFR ∝ Σsqrt(ρsd), where Σ is the total gas surface density and ρsd is the midplane density of the stellar disk (plus dark matter). This scaling law arises because ρsd sets the vertical dynamical time in our models (and outer disk regions generally). The coefficient in the star formation law varies inversely with the specific energy and momentum yield from massive stars. We find proportions of warm and cold atomic gas, turbulent-to-thermal pressure, and mean velocity dispersions that are consistent with solar-neighborhood and other outer disk observations. This study confirms the conclusions of a previous set of simulations, which incorporated the same physics treatment but was restricted to radial-vertical slices through the ISM.

Abstract Copyright:

Journal keyword(s): galaxies: ISM - galaxies: kinematics and dynamics - galaxies: star formation - methods: numerical - turbulence

Simbad objects: 2

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