Abstract

Distance measurements to molecular clouds are important, but are often made separately for each cloud of interest, employing very different different data and techniques. We present a large, homogeneous catalog of distances to molecular clouds, most of which are of unprecedented accuracy. We determine distances using optical photometry of stars along lines of sight toward these clouds, obtained from PanSTARRS-1. We simultaneously infer the reddenings and distances to these stars, tracking the full probability distribution function using a technique presented in Green et al. (2014). We fit these star-by-star measurements using a simple dust screen model to find the distance to each cloud. We thus estimate the distances to almost all of the clouds in the Magnani et al. (1985) catalog, as well as many other well-studied clouds, including Orion, Perseus, Taurus, Cepheus, Polaris, California, and Monoceros R2, avoiding only the inner Galaxy. Typical statistical uncertainties in the distances are 5%, though the systematic uncertainty stemming from the quality of our stellar models is about 10%. The resulting catalog is the largest catalog of accurate, directly-measured distances to molecular clouds. Our distance estimates are generally consistent with available distance estimates from the literature, though in some cases the literature estimates are off by a factor of more than two.

Highlights

  • Molecular clouds are the site of star formation, where all stars are born (Blitz & Williams 2000)

  • We exclude sight lines where we find fewer than 10 nearby stars with Planckestimated E(B − V ) more than 0.15 magnitudes, as at this level imperfections in our stellar models and the Pan-STARRS1 Surveys (PS1) photometry can masquerade as reddening signatures

  • We present a catalog of distances to molecular clouds

Read more

Summary

Introduction

Molecular clouds are the site of star formation, where all stars are born (Blitz & Williams 2000). A common method is to estimate cloud distances kinematically In this technique a cloud’s recessional velocity is measured by the Doppler shift of its spectral lines and is converted to a distance by assuming that the cloud follows the Galactic rotation curve. This technique is widely applicable and has been used to estimate the distances to large numbers of molecular clouds (e.g., Roman-Duval et al 2009); but it is problematic in the presence of peculiar velocities and non-circular motions. A second method is to find the distance to objects associated with a cloud and to place the cloud at the same distance; for instance, many clouds have formed young OB associations of stars for which distances can be estimated

Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.