2 papers
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…
astro-ph.GA2024
The spatially resolved relation between dust, gas, and metal abundance with the TYPHOON survey
Hye-Jin Park, Andrew J. Battisti, Emily Wisnioski +12
We present the spatially resolved relationship between the dust-to-gas mass ratio (DGR) and gas-phase metallicity (Zgas or 12+log(O/H)) (i.e., DGR-Zgas relation) of 11 nearby galax…