
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 Zhang et al. 2023, with variable extinction curves, to determine stellar parameters and extinction curves simultaneously. For full details of our method, see our corresponding paper*. 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. See the README.md for more information. * Link of the paper will be posted here once available. Update on 05.04.2024: Uploaded the reference table xi_Rv_ext_curve.h5, which was missing. Updated the script plot_ext_curve.py for a larger range of R(V) . Update on 17.05.2024: Uploaded preliminary maps in Rv_map_new.h5; Uploaded the script example_query.py for examples of querying the map, as well as code for generating sky-view and birds'-eye view pictures.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
