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Unveiling the Milky Way dust extinction curve in 3D

<p>We measure the extinction curves of 220 million stars with Gaia XP spectra and near-infrared photometry from 2MASS and WISE. We use a data-driven model that is developed from <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.1855Z/abstract">Zhang et al. 2023</a>, with variable extinction curves, to determine stellar parameters and extinction curves simultaneously. For full details of our method, see our corresponding paper*.</p> <p>Here, we provide the resulting catalog of stellar parameters, our trained stellar model, and a few Python scripts that demonstrate how to interact with the catalog and model.</p> <p>See the <code>README.md</code> for more information.</p> <p>* Link of the paper will be posted here once available.</p> <p>Update on 05.04.2024: Uploaded the reference table <code>xi_Rv_ext_curve.h5</code>,&nbsp; which was missing. Updated the script <code>plot_ext_curve.py</code> for a larger range of R(V) .</p> <p>Update on 17.05.2024: Uploaded preliminary maps in <code>Rv_map_new.h5</code>; Uploaded the script <code>example_query.py</code> for examples of querying the map, as well as code for generating sky-view and birds'-eye view pictures.&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0