A parsec-scale Galactic 3D dust map out to 1.25 kpc from the Sun
Max Planck Institute for Astrophysics · Center for Astrophysics Harvard & Smithsonian · +4 more institutions
Abstract
Context. High-resolution 3D maps of interstellar dust are critical for probing the underlying physics shaping the structure of the interstellar medium, and for foreground correction of astrophysical observations affected by dust. Aims. We aim to construct a new 3D map of the spatial distribution of interstellar dust extinction out to a distance of 1.25 kpc from the Sun. Methods. We leveraged distance and extinction estimates to 54 million nearby stars derived from the Gaia BP/RP spectra. Using the stellar distance and extinction information, we inferred the spatial distribution of dust extinction. We modeled the logarithmic dust extinction with a Gaussian process in a spherical coordinate system via iterative…
Citation impact
- FWCI
- 43.55
- Percentile
- 100%
- References
- 70
Authors
7- GEGordian EdenhoferCorresponding
Max Planck Institute for Astrophysics, Center for Astrophysics Harvard & Smithsonian, Ludwig-Maximilians-Universität München
- CZCatherine Zucker
Space Telescope Science Institute, Center for Astrophysics Harvard & Smithsonian
- PFPhilipp Frank
Max Planck Institute for Astrophysics
- AKAndrew K. Saydjari
Center for Astrophysics Harvard & Smithsonian
- JSJoshua S. Speagle
University of Toronto, Canadian Institute for Theoretical Astrophysics
Topics & keywords
- Physics
- Parsec
- Astrophysics
- Astronomy
- Scale (ratio)
- Active galactic nucleus
- Galaxy
Funding
- NSNational Science FoundationAwards: PHY-2019786, 2019786, 1745303, DGE-1745303
- NANational Aeronautics and Space AdministrationAwards: NAS5-26555, 80NSSC21K0634
- HUHarvard University
- STSpace Telescope Science InstituteAwards: NAS5-26555, 26555
- ESEuropean Space Agency
- BFBundesministerium für Bildung und ForschungAward: 05D23EO1
- NSNuclear Safety and Security Commission
- SDStudienstiftung des Deutschen Volkes
- FDFAS Division of Science, Harvard University