Finding Universal Relations in Subhalo Properties with Artificial Intelligence

  title={Finding Universal Relations in Subhalo Properties with Artificial Intelligence},
  author={Helen Shao and Francisco Villaescusa-Navarro and Shy Genel and David N. Spergel and Daniel Angl{\'e}s-Alc{\'a}zar and Lars E. Hernquist and Romeel Dav{\'e} and Desika Narayanan and Gabriella Contardo and Mark Vogelsberger},
  journal={The Astrophysical Journal},
We use a generic formalism designed to search for relations in high-dimensional spaces to determine if the total mass of a subhalo can be predicted from other internal properties such as velocity dispersion, radius, or star formation rate. We train neural networks using data from the Cosmology and Astrophysics with MachinE Learning Simulations project and show that the model can predict the total mass of a subhalo with high accuracy: more than 99% of the subhalos have a predicted mass within 0… 

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