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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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.