Statistical Validation of TESS Objects of Interest
Project description
A tool for validating TESS Objects of Interest.
The paper corresponding to this tool is currently under review. See Giacalone & Dressing (2020) for more information.
Installation
You can install the most recently released version of this tool via PyPI:
$ pip install triceratops
Or you can clone the repository:
$ git clone https://github.com/stevengiacalone/triceratops.git $ cd triceratops $ python setup.py install
Usage
triceratops can be easily used with jupyter notebook (with Python 3.6 or higher). See the notebook in the examples/ directory for a brief tutorial.
Help
If you are having trouble getting triceratops working on your machine, I recommend installing it in a fresh conda environment. You can download the latest distribution of anaconda here. After doing so, run the following in terminal:
$ conda create -n myenv python=3.6 $ conda activate myenv (myenv) $ pip install triceratops notebook
You can replace myenv with an environment name of your choice. To exit this environment, run:
(myenv) $ conda deactivate
To delete this environment, run:
$ conda remove --name myenv --all
Project details
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