Volume 598, February 2017
|Number of page(s)||15|
|Section||Interstellar and circumstellar matter|
|Published online||13 February 2017|
Inferring the three-dimensional distribution of dust in the Galaxy with a non-parametric method
Preparing for Gaia
Max Plank Institute for Astronomy (MPIA), Königstuhl 17, 69117 Heidelberg, Germany
Received: 9 May 2016
Accepted: 28 September 2016
We present a non-parametric model for inferring the three-dimensional (3D) distribution of dust density in the Milky Way. Our approach uses the extinction measured towards stars at different locations in the Galaxy at approximately known distances. Each extinction measurement is proportional to the integrated dust density along its line of sight (LoS). Making simple assumptions about the spatial correlation of the dust density, we can infer the most probable 3D distribution of dust across the entire observed region, including along sight lines which were not observed. This is possible because our model employs a Gaussian process to connect all LoS. We demonstrate the capability of our model to capture detailed dust density variations using mock data and simulated data from the Gaia Universe Model Snapshot. We then apply our method to a sample of giant stars observed by APOGEE and Kepler to construct a 3D dust map over a small region of the Galaxy. Owing to our smoothness constraint and its isotropy, we provide one of the first maps which does not show the “fingers of God” effect.
Key words: stars: distances / dust, extinction / Galaxy: structure / reference systems
© ESO, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.