Cloud Properties and Correlations with Star Formation in Self-consistent Simulations of the Multiphase ISM

We apply gravity- and density-based methods to identify clouds in self-consistent numerical simulations of the star-forming, multiphase interstellar medium (ISM) and compare their properties and global correlation with the star formation rate (SFR) over time. The gravity-based method identifies boun...

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Bibliographic Details
Published in:The Astrophysical journal 2020-07, Vol.898 (1), p.52
Main Authors: Mao, S. Alwin, Ostriker, Eve C., Kim, Chang-Goo
Format: Article
Language:English
Subjects:
Astrophysics
Cloud properties
Clouds
Computer simulation
Correlation analysis
Density
Giant molecular clouds
Gravitation
Identification methods
Interstellar matter
Interstellar medium
Multiphase
Numerical simulations
Parameters
Star & galaxy formation
Star formation
Star formation rate
Star forming regions
Stars & galaxies
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Summary:We apply gravity- and density-based methods to identify clouds in self-consistent numerical simulations of the star-forming, multiphase interstellar medium (ISM) and compare their properties and global correlation with the star formation rate (SFR) over time. The gravity-based method identifies bound objects, which have masses at densities , and virial parameters v ∼ 0.5-5. For clouds defined by a density threshold , the average virial parameter decreases, and the fraction of material that is genuinely bound increases, with increasing . Surprisingly, clouds defined by density thresholds can be unbound even when v < 2, and high-mass clouds ( ) are generally unbound. This suggests that the traditional v is at best an approximate measure of boundedness in the ISM. All clouds have internal turbulent motions increasing with size as , similar to observed relations. Bound structures comprise a small fraction of the total simulation mass and have a star formation efficiency per freefall time ∼ 0.4. For , ∼ 0.03-0.3, increasing with density threshold. A temporal correlation analysis between and aggregate mass at varying shows that time delays to star formation are . The correlation between and systematically tightens at higher . Considering moderate-density gas, selecting against high virial parameter clouds improves correlation with the SFR, consistent with previous work. Even at high , the temporal dispersion in is ∼50%, due to the large-amplitude variations and inherent stochasticity of the system.
ISSN:0004-637X
1538-4357
DOI:10.3847/1538-4357/ab989c