Published June 2022 | Version Published + Accepted Version
Journal Article Open

The TESS Triple-9 Catalog: 999 uniformly vetted exoplanet candidates

  • 1. ROR icon European Southern Observatory
  • 2. ROR icon Ludwig-Maximilians-Universität München
  • 3. ROR icon University of Naples Federico II
  • 4. ROR icon Goddard Space Flight Center
  • 5. ROR icon Search for Extraterrestrial Intelligence
  • 6. ROR icon University of Kansas
  • 7. ROR icon Space Telescope Science Institute
  • 8. ROR icon University of Florida
  • 9. ROR icon Infrared Processing and Analysis Center
  • 10. ROR icon Rutherford Appleton Laboratory
  • 11. ROR icon University of Aveiro
  • 12. ROR icon Meisei University
  • 13. ROR icon Institute for High Energy Physics
  • 14. ROR icon Instituto de Astronomía Teórica y Experimental
  • 15. ROR icon Brown University

Abstract

The Transiting Exoplanet Survey Satellite (TESS) has detected thousands of exoplanet candidates since 2018, most of which have yet to be confirmed. A key step in the confirmation process of these candidates is ruling out false positives through vetting. Vetting also eases the burden on follow-up observations, provides input for demographics studies, and facilitates training machine learning algorithms. Here, we present the TESS Triple-9 (TT9) catalog – a uniformly vetted catalog containing dispositions for 999 exoplanet candidates listed on ExoFOP-TESS, known as TESS Objects of Interest (TOIs). The TT9 was produced using the Discovery And Vetting of Exoplanets pipeline, dave, and utilizing the power of citizen science as a part of the Planet Patrol project. More than 70 per cent of the TOIs listed in the TT9 pass our diagnostic tests, and are thus marked as true planet candidates. We flagged 144 candidates as false positives, and identified 146 as potential false positives. At the time of writing, the TT9 catalog contains ~ 20 per cent of the entire ExoFOP-TESS TOIs list, demonstrates the synergy between automated tools and citizen science, and represents the first stage of our efforts to vet all TOIs. Our final dispositions and comments are collected in a supplementary table and the dave-generated files are publicly available on ExoFOP TESS.

Additional Information

© 2022 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2022 March 7. Received 2022 March 7; in original form 2022 January 21. This research has made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. We acknowledge the use of public TESS Alert data from the pipelines at the TESS Science Office and at the TESS Science Processing Operations Center (SPOC) and from the Massachusetts Institute of Technology Quick Look Pipeline (QLP). This research has made use of the Exoplanet Follow-up Observation Program website, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. This publication uses data generated via the Zooniverse.org platform, development of which is funded by generous support, including a Global Impact Award from Google, and by a grant from the Alfred P. Sloan Foundation. We thank the referee for the insightful comments which helped improve the manuscript. Software: DAVE(Kostov et al. 2019a), ELEANOR(Feinstein et al. 2019), QLP(Huang et al. 2020). DATA AVAILABILITY. The data underlying this article will be shared on reasonable request to the corresponding author.

Attached Files

Published - stac652.pdf

Accepted Version - 2203.15826.pdf

Files

2203.15826.pdf

Files (16.5 MB)

Name Size Download all
md5:0581db50be6818025faaba04f57244f5
13.6 MB Preview Download
md5:143ea916f4160d9609eb6a68673d6f29
2.9 MB Preview Download

Additional details

Identifiers

Eprint ID
114927
Resolver ID
CaltechAUTHORS:20220525-92084000

Related works

Funding

NASA
Google
Alfred P. Sloan Foundation

Dates

Created
2022-05-31
Created from EPrint's datestamp field
Updated
2022-05-31
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Infrared Processing and Analysis Center (IPAC)