no code implementations • 22 Jan 2021 • Jeremy Chastenet, Karin Sandstrom, I-Da Chiang, Brandon S. Hensley, Bruce T. Draine, Karl D. Gordon, Eric W. Koch, Adam K. Leroy, Dyas Utomo, Thomas G. Williams
We show that renormalizing the models to match the same Milky Way high latitude cirrus spectrum and abundance constraints can reduce the dust mass differences between models and bring the total dust mass below the maximum estimate at all radii.
Astrophysics of Galaxies
1 code implementation • 20 Jun 2016 • Karl D. Gordon, Morgan Fouesneau, Heddy Arab, Kirill Tchernyshyov, Daniel R. Weisz, Julianne J. Dalcanton, Benjamin F. Williams, Eric F. Bell, Luciana Bianchi, Martha Boyer, Yumi Choi, Andrew Dolphin, Leo Girardi, David W. Hogg, Jason S. Kalirai, Maria Kapala, Alexia R. Lewis, Hans-Walter Rix, Karin Sandstrom, Evan D. Skillman
We present the Bayesian Extinction And Stellar Tool (BEAST), a probabilistic approach to modeling the dust extinguished photometric spectral energy distribution of an individual star while accounting for observational uncertainties common to large resolved star surveys.
Astrophysics of Galaxies
