https://github.com/xprithvi/cosmomap
CosmoMAP is a project that attempts to leverage machine learning to emulate magnetohydrodynamic cosmological simulations using data from their dark-matter-only counterparts.
https://github.com/xprithvi/cosmomap
astronomy convolutional-neural-networks cosmology keras machine-learning neural-network physics tensorflow
Last synced: 11 months ago
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CosmoMAP is a project that attempts to leverage machine learning to emulate magnetohydrodynamic cosmological simulations using data from their dark-matter-only counterparts.
- Host: GitHub
- URL: https://github.com/xprithvi/cosmomap
- Owner: xPrithvi
- License: mit
- Created: 2024-12-22T00:39:51.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-02T20:02:37.000Z (about 1 year ago)
- Last Synced: 2025-06-10T19:16:36.448Z (about 1 year ago)
- Topics: astronomy, convolutional-neural-networks, cosmology, keras, machine-learning, neural-network, physics, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 7.59 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# CosmoMAP
CosmoMAP is a project that attempts to leverage machine learning to emulate magnetohydrodynamic cosmological simulations using data from their dark-matter-only counterparts.