On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm
Recent analyses of cosmological hydrodynamic simulations from CAMELS have shown that machine learning models can predict the parameter describing the total matter content of the universe, Ω _m , from the features of a single galaxy. We investigate the statistical properties of two of these simulatio...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4357/addd08 |
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