A 3D Dust Map Based on Gaia, Pan-STARRS 1, and 2MASS
By Gregory M. Green, Edward F. Schlafly, C. Zucker, Joshua S. Speagle, Douglas P. Finkbeiner. Astrophysical Journal, 2019
777 citations recorded by the source corpus.
We present a new three-dimensional map of dust reddening, based on Gaia parallaxes and stellar photometry from Pan-STARRS 1 and 2MASS. This map covers the sky north of a decl. of −30°, out to a distance of a few kiloparsecs. This new map contains three major improvements over our previous work. First, the inclusion of Gaia parallaxes dramatically improves distance estimates to nearby stars. Second, we incorporate a spatial prior that correlates the dust density across nearby sightlines. This produces a smoother map, with more isotropic clouds and smaller distance uncertainties, particularly to clouds within the nearest kiloparsec. Third, we infer the dust density with a distance resolution that is four times finer than in our previous work, to accommodate the improvements in signal-to-noise enabled by the other improvements. As part of this work, we infer the distances, reddenings, and types of 799 million stars. (Our 3D dust map can be accessed at doi:10.7910/DVN/2EJ9TX or through the Python package dustmaps, while our catalog of stellar parameters can be accessed at doi:10.7910/DVN/AV9GXO. More information about the map, as well as an interactive viewer, can be found at argonaut.skymaps.info.) We obtain typical reddening uncertainties that are ∼30% smaller than those reported in the Gaia DR2 catalog, reflecting the greater number of photometric passbands that enter into our analysis.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/326fd575d82b76a1efe86dd0b4280c59a3171314
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In Astronomy and Astrophysics
- D. Huber
- J. V. van Saders
- Edward F. Schlafly
- A. Goodman
- Joshua S. Speagle
- E. Gaidos
- T. Berger
- A. Kraus
In Instrumentation
Citations in the corpus
- A compendium of distances to molecular clouds in the Star Formation Handbook (2020, methodology): “As expected, our dust distances are broadly consistent with the Green et al. (2019) 3D dust map, with any small discrepancies arising from the fact that our technique is optimized for molecular cloud distance determination, while the Green et al. (2019) technique characterizes all the dust along…”
- The Gaia–Kepler Stellar Properties Catalog. I. Homogeneous Fundamental Properties for 186,301 Kepler Stars (2020, methodology): “We employed isoclassify (Huber et al. 2017) and the Green et al. (2019) reddening map to derive stellar parameters from our input observables: (1) SDSS g and 2MASS Ks photometry, (2) Gaia DR2 parallaxes (Gaia Collaboration et al. 2016, 2018; Lindegren et al. 2018; Arenou et al. 2018), (3) red giant…”