A Three-Dimensional Analytical Model of the Interstellar Extinction within the Nearest Kiloparsec
G. A. Gontcharov, A. V. Mosenkov, S. S. Savchenko, V. B. Il'in, A. A., Marchuk, A. A. Smirnov, P. A. Usachev, D. M. Polyakov, N. Hebdon

TL;DR
This paper introduces a new 3D analytical model of interstellar extinction within the nearest kiloparsec, combining layered dust distributions with sinusoidal variations, validated by multiple data sets.
Contribution
The model uniquely integrates three overlapping dust layers with exponential and sinusoidal profiles, providing accurate extinction predictions and insights into dust distribution far from the Galactic midplane.
Findings
Model predicts extinction with 0.07-0.37 mag accuracy depending on latitude.
Average high-latitude extinction estimate of 0.12 mag aligns with previous studies.
Natural dust fluctuations dominate the extinction measurement uncertainties.
Abstract
We present a new version of our analytical model of the spatial interstellar extinction variations within the nearest kiloparsec. This model treats the 3D dust distribution as a superposition of three overlapping layers: (1) the layer along the Galactic midplane, (2) the layer in the Gould Belt, and (3) the layer passing through the Cepheus and Chamaeleon dust cloud complexes. In each layer the dust density decreases exponentially with increasing distance from the midplane of the layer. In addition, there are sinusoidal longitudinal extinction variations along the midplane of each layer. We have found the most probable values of 29 parameters of our model using four data sets: the 3D stellar reddening maps by Gontcharov (2017), Lallement et al. (2019), and Green et al. (2019) and the extinctions inferred by Anders et al. (2022) for 993291 giants from the Gaia EDR3. All of the data give…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
