Observation reduction and planning tools for exoplanet science


License
MIT
Install
pip install exoctk==1.1.0

Documentation

ExoCTK Logo

|build-status| |docs|

Introduction

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
  • Atmospheric Retrievals
  • 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.

Installation

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.

Download Anaconda or Miniconda

You must first have a working installation of anaconda or miniconda for Python 3. If you do not yet have this on your system, you can visit the following links for download and installation instructions:

Obtain the exoctk Package

To obtain the exoctk package with the necessary environment files, clone the repository directly from GitHub:

git clone https://github.com/ExoCTK/exoctk.git
cd exoctk

Environment Installation

You can install the ExoCTK conda environment via the env/environment-<PYTHON_VERSION>.yml files (relative to the parent directory of where the repository was installed). Note that there are separate environment files for each version of python that exoctk supports. First, one should ensure that their version of conda is up to date:

conda update conda

Next, one should activate the base environment:

conda activate base

Next, one can create the exoctk conda environment via the appropriate environment-<PYTHON_VERSION>.yml file. One can find these files under the env directory and should run the following command in that directory:

conda env create -f environment-<PYTHON_VERSION>.yml

where <PYTHON_VERSION> is the version of python you are using (e.g. environment-3.6.yml)

Lastly, one can activate the newly-created environment with:

conda activate exoctk-<PYTHON_VERSION>

where again, <PYTHON_VERSION> is the version of python you are using (e.g. exoctk-3.6)

Package Installation

In order to install the exoctk package within the newly-created conda environment, run the exoctk setup script:

python setup.py [install|develop]

Obtain the exoctk Data

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.

Missing Dependencies?

If you find that the exoctk conda is missing a required dependency, please feel free to submit a GitHub Issue detailing the problem.

Want to stay up-to-date with our releases and updates?

Subscribe to our newsletter by sending an email with a blank body and subject to exoctk-news-subscribe-request@maillist.stsci.edu from the email you want to enroll. You should then receive a confirmation email with instructions on how to confirm your subscription, please be sure to do so within 48 hours.