Mapping the structure of dense gas in the Milky Way is a huge undertaking… which is why we have huge surveys!
Disentangling Milky Way Evolution with Disentangled Representation Learning, a New Tool for Chemical Tagging
Chemical tagging without chemical abundances? Today’s authors devise a neural network that ‘disentangles’ chemical abundances from stellar spectra to avoid the uncertainties that often beset chemical taggers.
Ever wondered how astronomers study the structure of our own Galaxy from within? Read on to find out how the Gaia mission helps us in this regard!
In our latest of our undergrad research series, discover how the Milky Way’s gas flow can be measured and how this can determine the Milky Way’s future.
Did local Ultra-Faint Dwarf Galaxies get quenched by the Milky Way or by Reionisation? Today’s authors use cosmological simulations to find out!
Today’s undergraduate research post features a student who uses computer simulations to the evolution of dwarf galaxies.