articleThe Astrophysical JournalDec 10, 2019BRONZE OA

A 3D Dust Map Based on Gaia, Pan-STARRS 1, and 2MASS

GMGregory M. GreenESEdward SchlaflyCZCatherine ZuckerJSJoshua S. SpeagleDFDouglas Finkbeiner

Kavli Institute for Particle Astrophysics and Cosmology · Max Planck Institute for Astronomy · +2 more institutions

Indexed inarxivcrossrefdoaj

Abstract

Abstract 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…

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Authors

5
  • GM
    Gregory M. GreenCorresponding

    Kavli Institute for Particle Astrophysics and Cosmology, Max Planck Institute for Astronomy

  • ES
    Edward Schlafly

    Lawrence Berkeley National Laboratory

  • CZ
    Catherine Zucker

    Center for Astrophysics Harvard & Smithsonian

  • JS
    Joshua S. Speagle

    Center for Astrophysics Harvard & Smithsonian

  • DF
    Douglas Finkbeiner

    Center for Astrophysics Harvard & Smithsonian

Topics & keywords

Topics
Keywords
  • Sky
  • Stellar density
  • Photometry (optics)
  • Dust lane
  • Python (programming language)
  • Cosmic dust
  • Young stellar object
  • Isotropy
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