237 citations · 285 across the 3 of their papers we have counts for
3 papers
Machine Learning for Galactic Archaeology: A chemistry-based neural network method for identification of accreted disc stars
Thorold Tronrud, Patricia B. Tissera, Facundo A. Gómez +4
We develop a method ('Galactic Archaeology Neural Network', GANN) based on neural network models (NNMs) to identify accreted stars in galactic discs by only their chemical fingerpr…
Dwarf galaxies in CDM and SIDM with baryons: observational probes of the nature of dark matter
Mark Vogelsberger, Jesus Zavala, Christine Simpson +1
We present the first cosmological simulations of dwarf galaxies, which include dark matter self-interactions and baryons. We study two dwarf galaxies within cold dark matter, and f…
Diffuse gas properties and stellar metallicities in cosmological simulations of disc galaxy formation
Federico Marinacci, Ruediger Pakmor, Volker Springel +1
We analyse the properties of the circum-galactic medium and the metal content of the stars comprising the central galaxy in eight hydrodynamical `zoom-in' simulations of disc galax…