PabloVD/CosmoGraphNet
Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
This project helps cosmologists analyze vast amounts of galaxy data to understand the universe. By taking 3D galaxy positions and intrinsic properties from simulation catalogs, it can predict fundamental cosmological parameters or the galaxy power spectrum. It's designed for researchers working with large-scale structure data from simulations like CAMELS.
No commits in the last 6 months.
Use this if you are a cosmologist or astrophysicist looking to efficiently extract cosmological parameters or the galaxy power spectrum from galaxy catalog simulations.
Not ideal if you need to analyze observational galaxy data directly, as this tool is specifically designed for simulation catalogs.
Stars
19
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jan 23, 2023
Commits (30d)
0
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