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Toolkit for atmospheric characterization of directly imaged exoplanets

Project description

spectral characterization and inference for exoplanet science

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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 grid and free retrievals using Bayesian inference, synthetic photometry, interpolating a variety atmospheric and evolutionary model grids (including the possibility to add a custom grid), color-magnitude and color-color diagrams, empirical spectral analysis, spectral and photometric calibration, and analysis of emission lines. 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 for various types of analyses and functionalities.

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.

Contributing

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

License

Copyright 2018-2023 Tomas Stolker

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

Project details


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