Understanding biases in measurements of molecular cloud kinematics using line emission
Yuxuan Yuan, Mark R.Krumholz, Blakesley Burkhart

TL;DR
This study investigates biases in molecular cloud kinematic measurements from line emission, revealing how tracer properties and observational limitations affect linewidth estimates and proposing optimal tracers for accurate velocity dispersion assessment.
Contribution
The paper systematically analyzes the impact of excitation, opacity, and resolution biases on linewidth measurements using synthetic data from magnetohydrodynamic simulations, identifying tracers that best reflect true cloud kinematics.
Findings
Differences in linewidths are driven by density-dependent excitation, opacity broadening, and resolution effects.
Certain tracers like CO J=4-3, C18O J=1-0, and NH3 (1,1) provide more accurate velocity dispersions.
Velocity dispersion estimates are accurate within about 10% using these tracers regardless of cloud conditions.
Abstract
Molecular line observations using a variety of tracers are often used to investigate the kinematic structure of molecular clouds. However, measurements of cloud velocity dispersions with different lines, even in the same region, often yield inconsistent results. The reasons for this disagreement are not entirely clear since molecular line observations are subject to a number of biases. In this paper, we untangle and investigate various factors that drive linewidth measurement biases by constructing synthetic position-position-velocity cubes for a variety of tracers from a suite of self-gravitating magnetohydrodynamic simulations of molecular clouds. We compare linewidths derived from synthetic observations of these data cubes to the true values in the simulations. We find that differences in linewidth as measured by different tracers are driven by a combination of density-dependent…
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