How well does CO emission measure the H${}_2$ mass of MCs?

Abstract

We present numerical simulations of molecular clouds (MCs) with self-consistent CO gas-phase and isotope chemistry in various environments. The simulations are post-processed with a line radiative transfer code to obtain ${}^{12}$CO and ${}^{13}$CO emission maps for the $J=1\to 0$ rotational transition. The emission maps are analysed with commonly used observational methods, i.e. the ${}^{13}$CO column density measurement, the virial mass estimate and the so-called $X_{\text{CO}}$ (also CO-to-H${}_2$) conversion factor, and then the inferred quantities (i.e. mass and column density) are compared to the physical values. We generally find that most methods examined here recover the CO-emitting H${}_2$ gas mass of MCs within a factor of two uncertainty if the metallicity is not too low. The exception is the ${}^{13}$CO column density method. It is affected by chemical and optical depth issues, and it measures both the true H${}_2$ column density distribution and the molecular mass poorly. The virial mass estimate seems to work the best in the considered metallicity and radiation field strength range, even when the overall virial parameter of the cloud is above the equilibrium value. This is explained by a systematically lower virial parameter (i.e. closer to equilibrium) in the CO-emitting regions; in CO emission, clouds might seem (sub-)virial, even when, in fact, they are expanding or being dispersed. A single CO-to-H${}_2$ conversion factor appears to be a robust choice over relatively wide ranges of cloud conditions, unless the metallicity is low. The methods which try to take the metallicity dependence of the conversion factor into account tend to systematically overestimate the true cloud masses.

24 pages, 11 figures. This is a pre-copyedited, author-produced PDF of an article accepted for publication in MNRAS following peer review

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