135 citations · 636 across the 16 of their papers we have counts for
4 papers
Inferring physical properties of galaxies from their emission line spectra
Graziano Ucci, Andrea Ferrara, Simona Gallerani +1
We present a new approach based on Supervised Machine Learning (SML) algorithms to infer key physical properties of galaxies (density, metallicity, column density and ionization pa…
Zooming on the internal structure of galaxies
A. Pallottini, A. Ferrara, S. Gallerani +3
We present zoom-in, AMR, high-resolution ( pc) simulations of high-redshift () galaxies with the aim of characterizing their internal properties and interste…
The circumgalactic medium of high redshift galaxies
Andrea Pallottini, Simona Gallerani, Andrea Ferrara
We study the properties of the circumgalactic medium (CGM) of high- galaxies in the metal enrichment simulations presented in Pallottini et al. 2014. At , we find that the…
Simulating cosmic metal enrichment by the first galaxies
A. Pallottini, A. Ferrara, S. Gallerani +2
We study cosmic metal enrichment via AMR hydrodynamical simulations in a (10 Mpc/h) volume following the Pop III-Pop II transition and for different Pop III IMFs. We have analy…