Compress opacity for radiative transfer in exoplanet cross-correlation studies
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cortecs-0.2.0b0.tar.gz
(19.8 kB
view hashes)
Built Distribution
Close
Hashes for cortecs-0.2.0b0-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 26ca457238da86242df0bbd0f5ccfd3978cee3883e9ec354ba5eafe9e7307c24 |
|
| MD5 | 9888f92d17960e0ff21f6b95a375884b |
|
| BLAKE2b-256 | 9ae0d91b85712924993293df4493e9e9e608c0af0cb0467544b1c539bb359e40 |
