Abstract
Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc−2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work.
| Original language | English |
|---|---|
| Article number | A51 |
| Number of pages | 16 |
| Journal | Astronomy & Astrophysics |
| Volume | 633 |
| DOIs | |
| Publication status | Published - 10 Jan 2020 |
Austrian Fields of Science 2012
- 103003 Astronomy
- 103004 Astrophysics
Keywords
- local insterstellar matter
- solar neighborhood
- catalogs
- SDSS
- STELLAR
- MILKY-WAY TOMOGRAPHY
- Local insterstellar matter
- Solar neighborhood
- Catalogs
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