136 citations · 163 across the 3 of their papers we have counts for
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The interstellar medium of dwarf galaxies: new insights from Machine Learning analysis of emission line spectra
Graziano Ucci, Andrea Ferrara, Simona Gallerani +6
Dwarf galaxies are ideal laboratories to study the physics of the interstellar medium (ISM). Emission lines have been widely used to this aim. Retrieving the full information encod…
Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization
Nicolas Gillet, Andrei Mesinger, Bradley Greig +2
The 21-cm power spectrum (PS) has been shown to be a powerful discriminant of reionization and cosmic dawn astrophysical parameters. However, the 21-cm tomographic signal is highly…
GAME: GAlaxy Machine learning for Emission lines
Graziano Ucci, Andrea Ferrara, Andrea Pallottini +1
We present an updated, optimized version of GAME (GAlaxy Machine learning for Emission lines), a code designed to infer key interstellar medium physical properties from emission li…