Open Access
Erratum
This article is an erratum for:
[https://doi.org/10.1051/0004-6361/201935093]


Table 1

Comparison of the different dust inference methods with the one performed in this paper.

This paper Sale & Magorrian (2018) Rezaei Kh et al. (2018) Lallement et al. (2018) Green et al. (2018)
Parallax uncertainty Smoothing and data selection Marginalization by sampling Data selection Data selection Proper uncertainty handling
Max distance 5 kpc 6 kpc 3 kpc
Max voxel resolution 2.3 pc Not applicable 200 pc radial 5 pc 16.4 pc/0.063 pc
Number of datapoints 3.7 million 6 349 21 000 71 357 806 million
Power spectrum inference Yes No No No No
Correlations 3D 3D 3D 3D 1D correlations only
Positiveness Yes Only of reddening No Yes Yes
Statistical method Variational Bayes Expectation propagation Analytic Maximum posterior Hamiltonian Monte Carlo
Data sets Gaia DR2 Synthetic Gaia data APOGEE Gaia DR1 + APOGEE + 2MASS Pan-STARRS + 2MASS

Notes. The first row indicates how the photo- or astrometric parallax uncertainty of the stars was treated. Hereby smoothing refers to weighting a voxel in the line of sight by the survival function of the star radial distance. The distance of the furthest point in the reconstruction is given in the second row. The dimensions of the smallest voxel are given in the third row. For the reconstruction of Sale & Magorrian (2018) the concept of voxel resolution is not readily applicable; Sale & Magorrian (2018) use 140 inducing points spanning a region for which one could evaluate the posterior mean at any point. The resolution for Green et al. (2018) and Rezaei Kh et al. (2018) is different in radial/angular direction, we report only radial resolution for Rezaei Kh et al. (2018) and both for Green et al. (2018). The fourth row provides the number of used data points. The fifth row indicates whether the power spectrum is inferred. The sixth row states which kind of correlations are assumed for the reconstruction. Whether positivity of dust density is enforced can be read in the seventh row. The second to last row states the method, with which the posterior summary statistics was calculated from the unnormalized log posterior. In the last row the data sets used for the reconstruction are listed.

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.