136 citations · 228 across the 5 of their papers we have counts for
Showing 2018 · astro-ph.GAShow all
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astro-ph.GA2018
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…
astro-ph.GA2018
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…