Mimicking the halo-galaxy connection using machine learning
Natalí S. M. de Santi,
Natália V. N. Rodrigues,
Antonio D. Montero-Dorta
et al.
Abstract:Elucidating the connection between the properties of galaxies and the properties of their hosting haloes is a key element in theories of galaxy formation. When the spatial distribution of objects is also taken under consideration, investigating the halo-galaxy connection becomes very relevant for cosmological measurements. In this paper, we use machine learning (ML) techniques to analyze these intricate relations in the IllustrisTNG300 magnetohydrodynamical simulation. We employ four different algorithms: extr… Show more
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