SIMBAD references

2016MNRAS.461.3027L - Mon. Not. R. Astron. Soc., 461, 3027-3035 (2016/September-3)

Constructing multiscale gravitational energy spectra from molecular cloud surface density PDF - interplay between turbulence and gravity.


Abstract (from CDS):

Gravity is believed to be important on multiple physical scales in molecular clouds. However, quantitative constraints on gravity are still lacking. We derive an analytical formula which provides estimates on multiscale gravitational energy distribution using the observed surface density probability distribution function (PDF). Our analytical formalism also enables one to convert the observed column density PDF into an estimated volume density PDF, and to obtain average radial density profile ρ(r). For a region with N_col ∼N^{-γ_N}, the gravitational energy spectra is E_p(k)∼k^{-4(1 - 1/γ_N)}. We apply the formula to observations of molecular clouds, and find that a scaling index of -2 of the surface density PDF implies that ρ ∼ r–2 and Ep(k) ∼ k–2. The results are valid from the cloud scale (a few parsec) to around ∼ 0.1 pc. Because of the resemblance the scaling index of the gravitational energy spectrum and the that of the kinetic energy power spectrum of the Burgers turbulence (where E ∼ k–2), our result indicates that gravity can act effectively against turbulence over a multitude of physical scales. This is the critical scaling index which divides molecular clouds into two categories: clouds like Orion and Ophiuchus have shallower power laws, and the amount of gravitational energy is too large for turbulence to be effective inside the cloud. Because gravity dominates, we call this type of cloud g-type clouds. On the other hand, clouds like the California molecular cloud and the Pipe nebula have steeper power laws, and turbulence can overcome gravity if it can cascade effectively from the large scale. We call this type of cloud t-type clouds. The analytical formula can be used to determine if gravity is dominating cloud evolution when the column density PDF can be reliably determined.

Abstract Copyright: © 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: data analysis - stars: formation - ISM: structure - ISM: structure

Simbad objects: 13

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