Hybrid deep learning models recover large frequency separation, frequency of maximum power, and dipole period spacing from low-resolution Gaia XP spectra with accuracy comparable to moderate-resolution spectroscopy.
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A new 3D dust reddening map with finer distance resolution, a spatial correlation prior, and Gaia-based distances covering the sky north of -30 degrees declination out to several kiloparsecs.
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Potential of Gaia XP Spectra in Red Giant Star Asteroseismology: A Deep-Learning Approach
Hybrid deep learning models recover large frequency separation, frequency of maximum power, and dipole period spacing from low-resolution Gaia XP spectra with accuracy comparable to moderate-resolution spectroscopy.
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A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS
A new 3D dust reddening map with finer distance resolution, a spatial correlation prior, and Gaia-based distances covering the sky north of -30 degrees declination out to several kiloparsecs.