Compress opacity for radiative transfer
Project description
cortecs
A Python package for decreasing the memory footprint of opacity functions. The primary functionality is compressing opacity functions with varying flexibility. Current methods include
- polynomial fitting
- PCA-based fitting
- neural network fitting
All fits are currently made in along the temperature and pressure axes.
Additionally, cortecs can chunk up opacity functions. The radiative transfer problem can often be cast as embarassingly parallel, so each chunk can be sent to a different CPU.
Installation instructions
cortecs can be installed via pip:
pip install cortecs
or conda:
conda install -c conda-forge cortecs
or from source:
git clone
cd cortecs
pip install -e .
To install from source with optional neural network support:
pip install -e .[neural_networks]
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