On the minimum number of radiation field parameters to specify gas cooling and heating functions
Fast and accurate approximations of gas cooling and heating functions are needed for hydrodynamic galaxy simulations. We use machine learning to analyze atomic gas cooling and heating functions in the presence of a generalized incident local radiation field computed by Cloudy. We characterize the r...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Maynooth Academic Publishing
2025-06-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.141235 |
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