Supernova Driving. III. Synthetic Molecular Cloud Observations
Paolo Padoan, Mika Juvela, Liubin Pan, Troels Haugb{\o}lle, {\AA}ke, Nordlund

TL;DR
This study compares synthetic molecular cloud observations from supernova-driven turbulence simulations with real clouds, finding good agreement in distributions and relations, supporting supernovae as key drivers of cloud dynamics.
Contribution
It introduces a method to generate synthetic CO spectra from simulations and compares them with observations, validating supernova-driven turbulence as a primary mechanism for molecular cloud formation.
Findings
Mass and size distributions match observations.
Velocity-size relation is slightly steeper than observed.
Larson relation normalizations depend on spatial resolution.
Abstract
We present a comparison of molecular clouds (MCs) from a simulation of supernova-driven interstellar medium (ISM) turbulence with real MCs from the Outer Galaxy Survey. The radiative transfer calculations to compute synthetic CO spectra are carried out assuming the CO relative abundance depends only on gas density, according to four different models. Synthetic MCs are selected above a threshold brightness temperature value, K, of the CO line, generating 16 synthetic catalogs (four different spatial resolutions and four CO abundance models), each containing up to several thousands MCs. The comparison with the observations focuses on the mass and size distributions and on the velocity-size and mass-size Larson relations. The mass and size distributions are found to be consistent with the observations, with no significant variations with spatial…
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