.. image:: https://img.shields.io/badge/GitHub-stevengiacalone%2Ftriceratops-blue.svg?style=flat :target: https://github.com/stevengiacalone/triceratops .. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat :target: https://github.com/stevengiacalone/triceratops/blob/master/LICENSE .. image:: http://img.shields.io/badge/arXiv-2002.00691-orange.svg?style=flat :target: https://arxiv.org/abs/2002.00691
A tool for vetting and validating TESS Objects of Interest.
See Giacalone et al. (2021) <https://ui.adsabs.harvard.edu/abs/2021AJ....161...24G/abstract>
_ for more information about this tool.
You can install the most recently released version of this tool via PyPI::
$ pip install triceratops
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 or check out the documentation <https://triceratops.readthedocs.io/en/latest/>
_.
If you use triceratops
, please cite both the paper and the code.
Paper citation::
@ARTICLE{2021AJ....161...24G,
author = {{Giacalone}, Steven and {Dressing}, Courtney D. and {Jensen}, Eric L.~N. and {Collins}, Karen A. and {Ricker}, George R. and {Vanderspek}, Roland and {Seager}, S. and {Winn}, Joshua N. and {Jenkins}, Jon M. and {Barclay}, Thomas and {Barkaoui}, Khalid and {Cadieux}, Charles and {Charbonneau}, David and {Collins}, Kevin I. and {Conti}, Dennis M. and {Doyon}, Ren{\'e} and {Evans}, Phil and {Ghachoui}, Mourad and {Gillon}, Micha{\"e}l and {Guerrero}, Natalia M. and {Hart}, Rhodes and {Jehin}, Emmanu{\"e}l and {Kielkopf}, John F. and {McLean}, Brian and {Murgas}, Felipe and {Palle}, Enric and {Parviainen}, Hannu and {Pozuelos}, Francisco J. and {Relles}, Howard M. and {Shporer}, Avi and {Socia}, Quentin and {Stockdale}, Chris and {Tan}, Thiam-Guan and {Torres}, Guillermo and {Twicken}, Joseph D. and {Waalkes}, William C. and {Waite}, Ian A.},
title = "{Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates}",
journal = {\aj},
keywords = {Exoplanet astronomy, Astrostatistics, Planet hosting stars, Exoplanets, 486, 1882, 1242, 498, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics},
year = 2021,
month = jan,
volume = {161},
number = {1},
eid = {24},
pages = {24},
doi = {10.3847/1538-3881/abc6af},
archivePrefix = {arXiv},
eprint = {2002.00691},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2021AJ....161...24G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Code citation::
@MISC{2020ascl.soft02004G,
author = {{Giacalone}, Steven and {Dressing}, Courtney D.},
title = "{triceratops: Candidate exoplanet rating tool}",
keywords = {Software, NASA, TESS},
year = 2020,
month = feb,
eid = {ascl:2002.004},
pages = {ascl:2002.004},
archivePrefix = {ascl},
eprint = {2002.004},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020ascl.soft02004G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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 <https://www.anaconda.com/distribution/>
_. After doing so, run the following in terminal::
$ conda create -n myenv python=3.8
$ conda activate myenv
(myenv) $ pip install triceratops jupyterlab
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