2 papers
astro-ph.IM2026
Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
Pablo Mercader-Perez, Carolina Cuesta-Lazaro, Daniel Muthukrishna +5
Data collected from the physical world is always a combination of multiple sources: an underlying signal from the physical process of interest and a signal from measurement-depende…
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…