59 citations · 95 across the 7 of their papers we have counts for
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astro-ph.GA2023★ 5 cited
Total and dark mass from observations of galaxy centers with Machine Learning
Sirui Wu, Nicola R. Napolitano, Crescenzo Tortora +4
The galaxy total mass inside the effective radius encode important information on the dark matter and galaxy evolution model. Total "central" masses can be inferred via galaxy dyna…
astro-ph.GA2021★ 22 cited
Inferring galaxy dark halo properties from visible matter with Machine Learning
Rodrigo von Marttens, Luciano Casarini, Nicola R. Napolitano +6
Next-generation surveys will provide photometric and spectroscopic data of millions to billions of galaxies with unprecedented precision. This offers a unique chance to improve our…