PabloVD/HaloGraphNet
Predict halo masses from simulations via graph neural networks
This project helps astrophysicists and cosmologists predict the total mass of dark matter halos within cosmological simulations. By taking information about the 3D position, stellar mass, and other properties of galaxies within a dark matter halo, it outputs a predicted host halo mass. It's designed for researchers working with hydrodynamic simulation data like CAMELS.
No commits in the last 6 months.
Use this if you need to accurately estimate dark matter halo masses from galaxy properties in cosmological simulations, or for real halos like the Milky Way and Andromeda.
Not ideal if your primary goal is general-purpose graph neural network development outside of astrophysical contexts or if you are not working with simulation data.
Stars
29
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 10, 2021
Commits (30d)
0
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