triceratops 0.2.2

Statistical Validation of TESS Objects of Interest

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