Milky Way Tomography IV: Dissecting Dust
Michael Berry, \v{Z}eljko Ivezi\'c, Branimir Sesar, Mario Juri\'c,, Edward F. Schlafly, Jillian Bellovary, Douglas Finkbeiner, Dijana Vrbanec,, Timothy C. Beers, Keira J. Brooks, Donald P. Schneider, Robert R. Gibson, Amy, Kimball, Lynne Jones, Peter Yoachim, Simon Krughoff

TL;DR
This study uses SDSS and 2MASS photometry of millions of stars to map dust extinction and properties in the Milky Way, revealing overestimations in existing dust maps and supporting established dust models.
Contribution
It introduces a method to determine dust extinction and properties using combined SDSS and 2MASS data, improving dust map accuracy and enabling detailed Galactic dust studies.
Findings
SDSS alone can break degeneracies in dust and stellar color when extinction curve shape is fixed.
SFD dust map overestimates extinction by about 20% in the southern sky.
The dust extinction curve shape supports Fitzpatrick (1999) and Cardelli et al. (1989) models.
Abstract
We use SDSS photometry of 73 million stars to simultaneously obtain best-fit main-sequence stellar energy distribution (SED) and amount of dust extinction along the line of sight towards each star. Using a subsample of 23 million stars with 2MASS photometry, whose addition enables more robust results, we show that SDSS photometry alone is sufficient to break degeneracies between intrinsic stellar color and dust amount when the shape of extinction curve is fixed. When using both SDSS and 2MASS photometry, the ratio of the total to selective absorption, , can be determined with an uncertainty of about 0.1 for most stars in high-extinction regions. These fits enable detailed studies of the dust properties and its spatial distribution, and of the stellar spatial distribution at low Galactic latitudes. Our results are in good agreement with the extinction normalization given by the…
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