Massive Acquisition of Ultraviolet Color Excess Information from GALEX and UVOT Bands
Dongliang Yang, Mingxu Sun, Biwei Jiang, Wenyuan Cui, Ruoyi Zhang,, Luyao Shi, and Jiachen Wei

TL;DR
This paper develops an extensive ultraviolet color excess map using GALEX, UVOT, and Gaia data, revealing complex extinction behaviors and highlighting the limitations of single-parameter extinction laws across different wavelengths.
Contribution
It introduces a novel empirical method combining stellar parameters and machine learning to derive ultraviolet color excesses for millions of stars, significantly expanding existing extinction maps.
Findings
Ultraviolet color excess data increased tenfold for GALEX/near-UV.
Constructed ultraviolet extinction maps covering two-thirds of the sky.
Discovered differences in v\'s spatial distribution across ultraviolet and infrared data.
Abstract
This study employs stellar parameters from spectroscopic surveys and Zhang et al. based on Gaia XP spectra, along with photometric data from GALEX, UVOT, and Gaia, to obtain extensive ultraviolet color excess information for the relevant bands of GALEX and UVOT. By considering the impact of stellar parameters (\teff, \feh, and \logg) on intrinsic color indices, and utilizing the blue-edge method combined with a random forest algorithm, an empirical relationship between stellar parameters and intrinsic ultraviolet color indices is established. By combining observed color indices, the study derives color excesses for 11,624,802 and 65,531 stars in the GALEX/near-UV and far-UV bands, and 336,633, 137,739, and 253,271 stars in the UVOT/\uvwa, \uvmb, and \uvwb\ bands, constructing corresponding ultraviolet extinction maps. Notably, the color excess data for the GALEX/near-UV band shows a…
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Taxonomy
TopicsCalibration and Measurement Techniques · Atmospheric Ozone and Climate · Infrared Target Detection Methodologies
