Kinematic Distances: A Monte Carlo Method

TL;DR

This paper introduces a Monte Carlo method for estimating kinematic distances to high mass star forming regions in the Milky Way, demonstrating improved accuracy over traditional methods and providing publicly available code for implementation.

Contribution

The paper presents a novel Monte Carlo technique for calculating kinematic distances, outperforming traditional methods in accuracy and uncertainty estimation.

Findings

Methods B and C yield distances closest to parallax measurements.

Method C provides smaller uncertainties than Methods A and B.

The code for Method C is publicly available and easy to use.

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 (1993) rotation curve (Method A), the traditional method using the Reid et al. (2014) 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 longitude=30 degrees, 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 on-line tool.