Turbulent Driving Scales in Molecular Clouds
C. M. Brunt, M. H. Heyer, M.-M. Mac Low

TL;DR
This study uses principal component analysis on simulated and real molecular cloud data to determine that turbulence is primarily driven at large scales, likely by processes like supernovae or spiral shocks, rather than small-scale internal sources.
Contribution
It provides the first quantitative constraint showing turbulence in molecular clouds is driven at large scales, based on comparison of MHD simulations and observations.
Findings
Large-scale driving models match observations
Small-scale internal sources cannot reproduce observed turbulence
Large-scale astrophysical processes are likely responsible for turbulence
Abstract
Supersonic turbulence in molecular clouds is a dominant agent that strongly affects the clouds' evolution and star formation activity. Turbulence may be initiated and maintained by a number of processes, acting at a wide range of physical scales. By examining the dynamical state of molecular clouds, it is possible to assess the primary candidates for how the turbulent energy is injected. The aim of this paper is to constrain the scales at which turbulence is driven in the molecular interstellar medium, by comparing simulated molecular spectral line observations of numerical magnetohydrodynamic (MHD) models and molecular spectral line observations of real molecular clouds. We use principal component analysis, applied to both models and observational data, to extract a quantitative measure of the driving scale of turbulence. We find that only models driven at large scales (comparable to,…
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