Supernova driving. II. Compressive ratio in molecular-clou turbulence

Publication date

2020-01-27T16:12:41Z

2020-01-27T16:12:41Z

2016-06-27

2020-01-27T16:12:41Z

Abstract

The compressibility of molecular cloud (MC) turbulence plays a crucial role in star formation models, because it controls the amplitude and distribution of density fluctuations. The relation between the compressive ratio (the ratio of powers in compressive and solenoidal motions) and the statistics of turbulence has been previously studied systematically only in idealized simulations with random external forces. In this work, we analyze a simulation of large-scale turbulence (250 pc) driven by supernova (SN) explosions that has been shown to yield realistic MC properties. We demonstrate that SN driving results in MC turbulence with a broad lognormal distribution of the compressive ratio, with a mean value approximate to 0.3, lower than the equilibrium value of approximate to 0.5 found in the inertial range of isothermal simulations with random solenoidal driving. We also find that the compressibility of the turbulence is not noticeably affected by gravity, nor are the mean cloud radial (expansion or contraction) and solid-body rotation velocities. Furthermore, the clouds follow a general relation between the rms density and the rms Mach number similar to that of supersonic isothermal turbulence, though with a large scatter, and their average gas density probability density function is described well by a lognormal distribution, with the addition of a high-density power-law tail when self-gravity is included.

Document Type

Article


Published version

Language

English

Publisher

Institute of Physics (IOP)

Related items

Reproducció del document publicat a: https://doi.org/10.3847/0004-637X/825/1/30

Astrophysical Journal, 2016, vol. 825, num. 1, p. 30

https://doi.org/10.3847/0004-637X/825/1/30

Recommended citation

This citation was generated automatically.

Rights

(c) American Astronomical Society, 2016

This item appears in the following Collection(s)