This code accompanies the paper Modeling the Impact of Baryons on Subhalo Populations with Machine Learning (arxiv.org/abs/1712.04467). It implements a random forest trained on hydrodynamic simulations to classify disrupted and surviving subhalos in dark-matter-only zoom-in simulations of Milky Way-mass host halos.
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A machine learning model for subhalo disruption due to baryonic physics in MW-mass systems.
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