2 papers
astro-ph.IM2026
SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries
Omar Anwar, Aaron S. G. Robotham, Luca Cortese +1
We present SM-Net, a machine-learning model that learns a continuous spectral manifold from multiple high-resolution stellar libraries. SM-Net generates stellar spectra directly fr…
astro-ph.IM2025
GalProTE: Galactic Properties Mapping using Transformer Encoder
Omar Anwar, Brent Groves, Luca Cortese +1
This work presents GalProTE, a proof-of-concept Machine Learning model utilizing a Transformer Encoder to determine stellar age, metallicity, and dust attenuation from optical spec…