triceratops 1.0.20

Statistical Validation of Transiting Planet Candidates

A tool for vetting and validating TESS Objects of Interest.

See Giacalone et al. (2021) for more information about this tool.

For a modified version of the code that can simultaneously analyze transits observed in different photometric passbands (i.e., both TESS data and ground-based data), see this repo.

Installation

You can install the most recently released version of this tool via PyPI:

$ pip install triceratops

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 or check out the documentation.

Attribution

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}
}

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=3.8
$ 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