Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

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, Rene and Evans, Phil and Ghachoui, Mourad and Gillon, Michael and Guerrero, Natalia M. and Hart, Rhodes and Jehin, Emmanuel 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. (2021) Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates. The Astronomical Journal, 161 (1):24. pp. 1-27. ISSN 1538-3881


Abstract

We present TRICERATOPS, a new Bayesian tool that can be used to vet and validate TESS Objects of Interest (TOIs). We test the tool on 68 TOIs that have been previously confirmed as planets or rejected as astrophysical false positives. By looking in the false-positive probability (FPP)−nearby false-positive probability (NFPP) plane, we define criteria that TOIs must meet to be classified as validated planets (FPP<0.015 and NFPP<10^(−3)), likely planets (FPP<0.5 and NFPP<10^(−3)), and likely nearby false positives (NFPP>10^(−1)). We apply this procedure on 384 unclassified TOIs and statistically validate 12, classify 125 as likely planets, and classify 52 as likely nearby false positives. Of the 12 statistically validated planets, 9 are newly validated. TRICERATOPS is currently the only TESS vetting and validation tool that models transits from nearby contaminant stars in addition to the target star. We therefore encourage use of this tool to prioritize follow-up observations that confirm bona fide planets and identify false positives originating from nearby stars.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Astrophysics (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Astrophysics (1 Aug 2018 -)
Date Deposited: 17 Feb 2021 04:14
Last Modified: 17 Aug 2021 00:10
Uncontrolled Keywords: Exoplanet astronomy, Astrostatistics, Planet hosting stars, Exoplanets
Fields of Research (2008): 02 Physical Sciences > 0201 Astronomical and Space Sciences > 020110 Stellar Astronomy and Planetary Systems
01 Mathematical Sciences > 0104 Statistics > 010499 Statistics not elsewhere classified
Fields of Research (2020): 51 PHYSICAL SCIENCES > 5101 Astronomical sciences > 510109 Stellar astronomy and planetary systems
49 MATHEMATICAL SCIENCES > 4905 Statistics > 490503 Computational statistics
Identification Number or DOI: https://doi.org/10.3847/1538-3881/abc6af
URI: http://eprints.usq.edu.au/id/eprint/41244

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