Three-dimensional dust density structure of the Orion, Cygnus X,Taurus, and Perseus star-forming regions

TL;DR

This paper introduces a novel 3D dust density reconstruction algorithm for the Milky Way that overcomes previous artefacts and computational limitations, revealing detailed structures in star-forming regions and refining dust mass estimates.

Contribution

The paper presents a new Gaussian Process-based algorithm that accurately infers non-negative 3D dust densities in the Milky Way using Gaia data, improving spatial resolution and reducing artefacts.

Findings

Deblended filamentary structures in 3D maps

Identified the Cygnus X region at 1300-1500pc

Estimated dust masses slightly higher than previous studies

Abstract

Interstellar dust affects astronomical observations through absorption and reddening, yet this extinction is also a powerful tool for studying interstellar matter in galaxies. 3D reconstructions of dust extinction and density in the Milky Way have suffered from artefacts such as the fingers-of-god effect and negative densities, and have been limited by large computational costs. Here we aim to overcome these issues with a novel algorithm that derives the 3D extinction density of dust in the Milky Way using a latent variable Gaussian Process and variational inference. Our model maintains non-negative density and hence monotonically non-decreasing extinction along all lines-of-sight, and performs inference within a reasonable computational time. Using extinctions for hundreds of thousands of stars computed from optical and near-IR photometry, together with distances based on Gaia parallaxes, we use our algorithm to infer the structure of the Orion, Taurus, Perseus, and Cygnus X star-forming regions. A number of features superimposed in 2D extinction maps are clearly deblended in 3D dust extinction density maps. We find a large filament on the edge of Orion, identify filament that in the Taurus and Perseus regions, and show that Cygnus X is located at 1300-1500pc. We compute dust masses of the regions and find these to be slightly higher than previous estimates, likely a consequence of our input data recovering the highest column densities more effectively. Comparing our predicted extinctions to Planck data, we find that known relationships between density and dust processing, where high extinction lines of sight have the most processed grains, hold up in resolved observations when density is included, and that they exist at smaller scales than previously suggested. This can be used to study the changes in size or composition of dust as they are processed in molecular clouds. (Abridged)