ASCL Code Record
[ascl:2303.020]
HaloGraphNet: Predict halo masses from simulations
Villanueva-Domingo, Pablo; Villaescusa-Navarro, Francisco; Anglés-Alcázar, Daniel; Genel, Shy; Marinacci, Federico; Spergel, David N.; Hernquist, Lars; Vogelsberger, Mark; Dave, Romeel; Narayanan, Desika
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.
- Code site:
- https://github.com/PabloVD/HaloGraphNet
- Described in:
- https://ui.adsabs.harvard.edu/abs/2022ApJ...935...30V
- Bibcode:
- 2023ascl.soft03020V
Preferred citation method:
Please see citation information here: https://github.com/PabloVD/HaloGraphNet#citation
Views: 1267
