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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
New C, N, O, S, K, Cu abundances for 714 solar-neighbourhood stars show that ratios relative to oxygen discriminate thin- and thick-disk populations more clearly than traditional [X/Fe] trends.
citing papers explorer
-
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.
-
Exploring the Milky Way stellar disk. Carbon, nitrogen, oxygen, sulphur, potassium, and copper abundances for 714 F and G dwarf stars in the solar neighbourhood
New C, N, O, S, K, Cu abundances for 714 solar-neighbourhood stars show that ratios relative to oxygen discriminate thin- and thick-disk populations more clearly than traditional [X/Fe] trends.