Kinematic distances: a Monte Carlo method
Files
First author draft
Date
2018-03
Authors
Wenger, Trey V.
Balser, Dana S.
Anderson, L.D.
Bania, Thomas M.
Version
First author draft
OA Version
Citation
T.V. Wenger, D.S. Balser, L.D. Anderson, T.M. Bania. 2018. "Kinematic Distances: A Monte Carlo Method" The Astrophysical Journal: an international review of astronomy and astronomical physics, Volume 856, Issue 1, pp.52-52. https://doi.org/10.3847/1538-4357/aaaec8
Abstract
Distances to high-mass star-forming regions (HMSFRs) in the Milky Way are a crucial constraint on the structure of the Galaxy. Only kinematic distances are available for a majority of the HMSFRs in the Milky Way. Here, we compare the kinematic and parallax distances of 75 Galactic HMSFRs to assess the accuracy of kinematic distances. We derive the kinematic distances using three different methods: the traditional method using the Brand & Blitz rotation curve (Method A), the traditional method using the Reid et al. rotation curve and updated solar motion parameters (Method B), and a Monte Carlo technique (Method C). Methods B and C produce kinematic distances closest to the parallax distances, with median differences of 13% (0.43 kpc) and 17% (0.42 kpc), respectively. Except in the vicinity of the tangent point, the kinematic distance uncertainties derived by Method C are smaller than those of Methods A and B. In a large region of the Galaxy, the Method C kinematic distances constrain both the distances and the Galactocentric positions of HMSFRs more accurately than parallax distances. Beyond the tangent point along ℓ = 30°, for example, the Method C kinematic distance uncertainties reach a minimum of 10% of the parallax distance uncertainty at a distance of 14 kpc. We develop a prescription for deriving and applying the Method C kinematic distances and distance uncertainties. The code to generate the Method C kinematic distances is publicly available and may be utilized through an online tool.