Inadequate turbulent support in low-metallicity molecular clouds
Abstract
The dynamic properties of molecular clouds are set by the interplay of their self-gravity, turbulence, external pressure and magnetic fields. Extended surveys of Galactic molecular clouds typically find that their kinetic energy () counterbalances their self-gravitational energy (), setting their virial parameter . However, past studies either have been biased by the use of optically-thick lines or have been limited within the solar neighborhood and the inner Galaxy (Galactocentric radius kpc). Here we present sensitive mapping observations of optically thin CO lines towards molecular clouds in the low-metallicity Galactic outer disk ( kpc). By combining archival data from the inner Galaxy and four nearby metal-poor dwarf galaxies, we reveal a systematic trend of , which declines from supervirial dynamic states in metal-rich clouds to extremely subvirial dynamic states in metal-poor clouds. In these metal-poor environments, turbulence alone is insufficient to counterbalance the self-gravity of a cloud. A cloud-volumetric magnetic field may replace turbulence as the dominant cloud-supporting mechanism in low-metallicity conditions, for example, the outermost galactic disks, dwarf galaxies and galaxies in the early Universe, which would then inevitably impact the initial conditions for star formation in such environments.
Cite
@article{arxiv.2501.07636,
title = {Inadequate turbulent support in low-metallicity molecular clouds},
author = {Lingrui Lin and Zhi-Yu Zhang and Junzhi Wang and Padelis P. Papadopoulos and Yong Shi and Yan Gong and Yan Sun and Yichen Sun and Thomas G. Bisbas and Donatella Romano and Di Li and Hauyu Baobab Liu and Keping Qiu and Lijie Liu and Gan Luo and Chao-Wei Tsai and Jingwen Wu and Siyi Feng and Bo Zhang},
journal= {arXiv preprint arXiv:2501.07636},
year = {2025}
}
Comments
Published in Nature Astronomy. Comments are welcome! Supplementary data are available via Figshare (https://doi.org/10.6084/m9.figshare.27282924), including the 13CO line cubes/profiles, the H2 surface density maps, infrared/radio images and cloud distance probability density functions