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
Metadata
Release files for triceratops 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| triceratops-1.1.0.tar.gz | 105.5 kB | Without provenance | Details for triceratops-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| triceratops-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for triceratops-1.1.0-py3-none-any.whl |
Total release size: 187.4 kB
Release files / triceratops-1.1.0.tar.gz
| Download URL | triceratops-1.1.0.tar.gz |
|---|---|
| Size | 105.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1bdb05548cba1d4556eb67e901eede6f31579ac67a09e50c5f628c73148b0f65
|
|
BLAKE2b-256 checksum How to use checksums |
576bdae82c6973539df04e06bc3e998d964cfc99f183a1a8ca3a62e580605e39
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.8
|
Release files / triceratops-1.1.0-py3-none-any.whl
| Download URL | triceratops-1.1.0-py3-none-any.whl |
|---|---|
| Size | 81.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
94c090b149fdc9b82d4f93f3f3c497ae4a77ebf638128d7458f2bdd170015b39
|
|
BLAKE2b-256 checksum How to use checksums |
40ae4c90047abeff03305a96e63a93bb50c7fc258078bbe7ebfc7d6eae60faf9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.8
|
Security for triceratops 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.