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species

spectral characterization and inference for exoplanet science

https://img.shields.io/pypi/v/species https://img.shields.io/pypi/pyversions/species https://img.shields.io/travis/tomasstolker/species https://img.shields.io/readthedocs/species https://img.shields.io/coveralls/github/tomasstolker/species https://img.shields.io/codefactor/grade/github/tomasstolker/species https://img.shields.io/github/license/tomasstolker/species

species is a toolkit for atmospheric characterization of directly imaged exoplanets. It provides a coherent framework for spectral and photometric analysis which builds on publicly-available data and models from various resources. There are tools available for both grid retrievals and free retrievals with Bayesian inference, color-magnitude and color-color diagrams, empirical spectral analysis, spectral and photometric calibration, analysis of emission lines, and synthetic photometry. The package has been released on PyPI and is actively developed and maintained on Github.

Documentation

Documentation can be found at http://species.readthedocs.io.

Tutorials

There are several Jupyter notebooks with tutorials that showcase the workflow and available tools. They can also be executed on Binder by navigating to the docs/tutorials folder.

Attribution

Please cite Stolker et al. (2020) whenever results from species are used in a publication. Please also make sure to give credit to the relevant papers regarding the use of the publicly available data that species benefits from. The species logo is available for use in presentations.

Contributing

Contributions are welcome so please consider forking the repository and creating a pull request. Bug reports can be provided by creating an issue on the Github page.

License

Copyright 2018-2021 Tomas Stolker

species is distributed under the MIT License. See the LICENSE file for the terms and conditions.

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Toolkit for atmospheric characterization of directly imaged exoplanets

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