ExoCTK is an open-source, modular data analysis package focused primarily on atmospheric characterization of exoplanets. The subpackages included are:
- Contamination and Visibility Calculator
- Integrations and Groups Calculator
- Transit Light-Curve Fitter
- Limb Darkening Calculator
- Phase Constraint Calculator
- Atmospheric Forward Modeling
For more information on each package visit our documentation at readthedocs.
Most packages are also available through interactive tools at our web portal.
The following are instructions on how to install the exoctk package for both users and contributors. The exoctk repository provides a conda environment containing all of the dependencies needed to install and execute the exoctk software.
You must first have a working installation of conda (or mamba) for Python 3. If you do not yet have this on your system, you can visit the following links for download and installation instructions:
To obtain the exoctk package with the necessary environment file, clone the repository directly from GitHub:
git clone https://github.com/ExoCTK/exoctk.git
cd exoctkYou can create the ExoCTK conda environment via the exoctk-env.yml file with the following conda (or mamba) command:
conda env create -f exoctk-env.ymlTip
To specify a specific Python version (or any additional Conda packages), add them to the end of the conda env create command:
conda env create -f exoctk-env.yml python==3.10One can activate the newly-created environment with:
conda activate exoctk-envAfter activating the environment, install exoctk from the cloned source.
To install the latest development version of exoctk use pip to install directly from the cloned source:
pip install -e .The exoctk data package will be available through the MAST portal soon!
Until then...
The suggested way to obtain the data is to execute the exoctk.utils.download_exoctk_data() function. This function will download a series of compressed files from Box, extract the files, and organize them into a exoctk_data/ directory. Note that this can only be done once the exoctk package has been fully installed (see instructions above).
Lastly, export an environment variable for EXOCTK_DATA.
- For Mac OS/Linux, add the line
export EXOCTK_DATA='/path/to/your/unzipped/directory/exoctk_data/'to your .bashrc or .bash_profile.
- For Windows, add an environment variable using System Utility.
Users may also download individual components of the exoctk data package directly through the Box website. Please note that materials must ultimately be placed within a exoctk_data/ directory, and the EXOCTK_DATA environment variable be set in order for the exoctk package to work properly.
If you find that the exoctk environment is missing a required dependency, please feel free to submit a GitHub Issue detailing the problem.
If you use ExoCTK for work/research presented in a publication (whether directly, or as a dependency to another package), we recommend and encourage the following acknowledgment:
This research made use of the open source Python package exoctk, the Exoplanet Characterization Toolkit (Bourque et al, 2021).
where (Bourque et al, 2021) is a citation of the Zenodo record, e.g.:
@software{matthew_bourque_2021_4556063,
author = {Matthew Bourque and
Néstor Espinoza and
Joseph Filippazzo and
Mees Fix and
Teagan King and
Catherine Martlin and
Jennifer Medina and
Natasha Batalha and
Michael Fox and
Jules Fowler and
Jonathan Fraine and
Matthew Hill and
Nikole Lewis and
Kevin Stevenson and
Jeff Valenti and
Hannah Wakeford},
title = {The Exoplanet Characterization Toolkit (ExoCTK)},
month = feb,
year = 2021,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.4556063},
url = {https://doi.org/10.5281/zenodo.4556063}
}
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