Volume 639, July 2020
|Number of page(s)||13|
|Section||Interstellar and circumstellar matter|
|Published online||23 July 2020|
Resolving nearby dust clouds★
Max Planck Institute for Astrophysics,
2 Ludwig-Maximilians-Universität, Geschwister-Scholl Platz 1, 80539 Munich, Germany
3 Physik-Department, Technische Universität München, James-Franck-Str. 1, 85748 Garching, Germany
Accepted: 26 May 2020
Aims. Mapping the interstellar medium in 3D provides a wealth of insights into its inner working. The Milky Way is the only galaxy for which detailed 3D mapping can be achieved in principle. In this paper, we reconstruct the dust density in and around the local super-bubble.
Methods. The combined data from surveys such as Gaia, 2MASS, PANSTARRS, and ALLWISE provide the necessary information to make detailed maps of the interstellar medium in our surrounding. To this end, we used variational inference and Gaussian processes to model the dust extinction density, exploiting its intrinsic correlations.
Results. We reconstructed a highly resolved dust map, showing the nearest dust clouds at a distance of up to 400 pc with a resolution of 1 pc.
Conclusions. Our reconstruction provides insights into the structure of the interstellar medium. We compute summary statistics of the spectral index and the 1-point function of the logarithmic dust extinction density, which may constrain simulations of the interstellar medium that achieve a similar resolution.
Key words: methods: data analysis / dust, extinction / ISM: structure / local insterstellar matter
3D Galactic extinction catalogue is only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (220.127.116.11) or via http://cdsarc.u-strasbg.fr/viz-bin/cat/J/A+A/639/A138
© R. H. Leike et al. 2020
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Open Access funding provided by Max Planck Society.
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