Cosmology with One Galaxy: Autoencoding the Galaxy Properties Manifold
Cosmological simulations like CAMELS and IllustrisTNG characterize hundreds of thousands of galaxies using various internal properties. Previous studies have demonstrated that machine learning can be used to infer the cosmological parameter Ω m from the internal properties of even a single randomly selected simulated galaxy. This ability was
Lue, Amanda et al.
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2025