A&A 618, A168 (2018) Astronomy https://doi.org/10.1051/0004-6361/201833284 & c ESO 2018 Astrophysics Detection of the Milky Way spiral arms in dust from 3D mapping Sara Rezaei Kh.1, Coryn A. L. Bailer-Jones1, David W. Hogg1,2,3,4 , and Mathias Schultheis5 1 Max Plank Institute for Astronomy (MPIA), Königstuhl 17, 69117 Heidelberg, Germany e-mail:
[email protected] 2 Center for Computational Astrophysics, Flatiron Institute, 162 Fifth Ave., New York, NY 10010, USA 3 Center for Cosmology and Particle Physics, Department of Physics, New York University, 726 Broadway, New York, NY 10003, USA 4 Center for Data Science, New York University, 60 Fifth Ave., New York, NY 10011, USA 5 Laboratoire Lagrange, Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Bld. de l’Observatoire, 06304 Nice, France Received 23 April 2018 / Accepted 30 July 2018 ABSTRACT Large stellar surveys are sensitive to interstellar dust through the effects of reddening. Using extinctions measured from photometry and spectroscopy, together with three-dimensional (3D) positions of individual stars, it is possible to construct a three-dimensional dust map. We present the first continuous map of the dust distribution in the Galactic disk out to 7 kpc within 100 pc of the Galactic midplane, using red clump and giant stars from SDSS APOGEE DR14. We use a non-parametric method based on Gaussian Processes to map the dust density, which is the local property of the ISM rather than an integrated quantity. This method models the dust correlation between points in 3D space and can capture arbitrary variations, unconstrained by a pre-specified functional form.