HaloGraphNet: Predict halo masses from simulations
Abstract
HaloGraphNet predicts halo masses from simulations using Graph Neural Networks. Given a dark matter halo and its galaxies, this software creates a graph with information about the 3D position, stellar mass and other properties. It then trains a Graph Neural Network to predict the mass of the host halo. Data are taken from the CAMELS hydrodynamic simulations.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- March 2023
- Bibcode:
- 2023ascl.soft03020V
- Keywords:
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- Software