Metadata-Version: 2.1
Name: cortecs
Version: 0.0.1b0
Summary: Compress opacity for radiative transfer in exoplanet cross-correlation studies
Home-page: https://github.com/arjunsavel/cortecs
Author: Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton
Author-email: asavel@gmail.com
Maintainer: Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton
Maintainer-email: asavel@gmail.com
License: MIT
Description: # cortecs
        [![Tests](https://github.com/arjunsavel/cortecs/actions/workflows/python-package.yml/badge.svg)](https://github.com/arjunsavel/cortecs/actions/workflows/python-package.yml)
        [![codecov](https://codecov.io/gh/arjunsavel/cortecs/graph/badge.svg?token=90S3STBO5X)](https://codecov.io/gh/arjunsavel/cortecs)
        [![Maintainability](https://api.codeclimate.com/v1/badges/4eb53795313af153f4cd/maintainability)](https://codeclimate.com/github/arjunsavel/cortecs/maintainability)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)
        [![CodeQL](https://github.com/arjunsavel/cortecs/actions/workflows/codeql.yml/badge.svg)](https://github.com/arjunsavel/cortecs/actions/workflows/codeql.yml)
        [![Documentation Status](https://readthedocs.org/projects/cortecs/badge/?version=latest)](https://cortecs.readthedocs.io/en/latest/?badge=latest)
        [![Paper compilation](https://github.com/arjunsavel/cortecs/actions/workflows/draft-pdf.yml/badge.svg)](https://github.com/arjunsavel/cortecs/actions/workflows/draft-pdf.yml)
        
        
        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.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires-Python: >3.8.0
Description-Content-Type: text/markdown
