3 papers
astro-ph.SR2025
Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
Rachel C. Zhang, Kaze W. K. Wong, Gonzalo Holgado +1
High-resolution spectroscopic measurements of OB stars are important for understanding processes like stellar evolution, but require labor-intensive observations. In contrast, phot…
astro-ph.EP2024
Peering into the black box: forward-modeling the uncertainty budget of high-resolution spectroscopy of exoplanet atmospheres
Arjun B. Savel, Megan Bedell, Eliza M. -R. Kempton +6
Ground-based high-resolution cross-correlation spectroscopy (HRCCS; R >~ 15,000) is a powerful complement to space-based studies of exoplanet atmospheres. By resolving individual s…
astro-ph.SR2023
AspGap: Augmented Stellar Parameters and Abundances for 23 million RGB stars from Gaia XP low-resolution spectra
Jiadong Li, Kaze W. K. Wong, David W. Hogg +2
We present AspGap, a new approach to infer stellar labels from low-resolution Gaia XP spectra, including precise [/M] estimates for the first time. AspGap is a neural-network ba…