dustmaps: A Python interface for maps of interstellar dust

By Gregory M. Green. Journal of Open Source Software, 2018

315 citations recorded by the source corpus.

The dustmaps package provides a uniform Python interface for several commonly used maps of interstellar dust, including two-dimensional maps such as Schlegel, Finkbeiner, and Davis (1998), Planck Collaboration et al. (2014) and Lenz, Hensley, and Doré (2017), and three-dimensional maps such as Marshall et al. (2006) and Green et al. (2015). dustmaps makes use of Astropy’s coordinate-system package (astropy.coordinates.SkyCoord, Astropy Collaboration 2013), making it easy to query dust maps in a wide variety of coordinate systems (Equatorial, Galactic, Ecliptic, etc.). Additionally, dustmaps handles the downloading of the supported dust maps for users, and allows users to query some dust maps from a remote server, avoiding the need to download large data files.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/c13e66a5f0e78657c8e5fef3cd39ff5c6fa564e8

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In Astronomy and Astrophysics

Citations in the corpus

A compendium of distances to molecular clouds in the Star Formation Handbook (2020, methodology): “This work has made use of the following software: astropy (Astropy Collaboration 2018), dustmaps (Green 2018), bokeh (Bokeh Development Team 2018), plotly (Plotly Technologies Inc. 2015), healpy (Górski et al. 2005), dynesty (Speagle 2019), and glue (Robitaille et al. 2017).”
A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition (2019, unknown): “Software: Astropy (Astropy Collaboration et al. 2018), Dustmaps (Green 2018), Bokeh (Bokeh Development Team 2018), Healpy (Górski et al. 2005), dynesty (Speagle 2018), glue (Robitaille et al. 2017).”