The T16 Planet Hunt: 10,000 New Planet Candidates from TESS Cycle 1 and the Confirmation of a Hot Jupiter around TIC 183374187*

Abstract The T16 project has produced a uniformly detrended and systematics-corrected set of 83,717,159 TESS Cycle 1 full-frame image (FFI) light curves for stars observed by TESS in its primary mission down to T = 16 mag, enabling sensitive transit searches beyond the official TESS pipelines. While most existing TESS planet searches focus on relatively bright targets, planet occurrence rates suggest that a substantial number of planets should exist around fainter stars. We therefore use the T16 light curves to conduct a semiautomated search for transiting exoplanets across the full Cycle 1 FFI sample, resulting in 11,554 planet candidates orbiting stars down to the 16th magnitude in the TESS band, with orbital periods between 0.5 and 27 days. Of these, 10,091 are new planet candidates, and 411 are single-transit events, for which we do not attempt to determine orbital parameters. The remaining 1052 candidates are previously known TESS candidates. We validate our pipeline through Magellan/Planet Finder Spectrograph radial-velocity follow-up measurements on one of our candidate hosts, TIC 183374187, a metal-poor thick-disk star, confirming the signal as a newly identified hot Jupiter, which we call TIC 183374187 b. This detection demonstrates our pipeline’s ability to identify real, previously undiscovered, transiting planets. Overall, this work shows that large-scale, machine learning–assisted transit searches of TESS FFIs can significantly expand the census of transiting planet candidates, in particular around faint stars, providing a rich target set for future validation and follow-up efforts. Our findings more than double the number of known TESS exoplanet candidates.

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Publication Details

Journal
The Astrophysical Journal Supplement Series
Published
2026-04-28
DOI
https://doi.org/10.3847/1538-4365/ae5b6c
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00

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article

The T16 Planet Hunt: 10,000 New Planet Candidates from TESS Cycle 1 and the Confirmation of a Hot Jupiter around TIC 183374187*

Shreyas Vissapragada, Luke G. Bouma, Yadira Gaibor, Joshua T. Roth et al.
The Astrophysical Journal Supplement Series
Stellar, planetary, and galactic studies
article

The T16 Planet Hunt: 10,000 New Planet Candidates from TESS Cycle 1 and the Confirmation of a Hot Jupiter around TIC 183374187*

Shreyas Vissapragada, Luke G. Bouma, Yadira Gaibor, Joshua T. Roth, Steve Shectman, Jhon Yana Galarza, Yuri Beletsky, David Osip, Shubham Kanodia, Jeffrey D. Crane, Gáspár Á. Bakos, Joel D. Hartman, Samuel W. Yee, R. P. Butler, Johanna K. Teske
article en

Abstract

Abstract The T16 project has produced a uniformly detrended and systematics-corrected set of 83,717,159 TESS Cycle 1 full-frame image (FFI) light curves for stars observed by TESS in its primary mission down to T = 16 mag, enabling sensitive transit searches beyond the official TESS pipelines. While most existing TESS planet searches focus on relatively bright targets, planet occurrence rates suggest that a substantial number of planets should exist around fainter stars. We therefore use the T16 light curves to conduct a semiautomated search for transiting exoplanets across the full Cycle 1 FFI sample, resulting in 11,554 planet candidates orbiting stars down to the 16th magnitude in the TESS band, with orbital periods between 0.5 and 27 days. Of these, 10,091 are new planet candidates, and 411 are single-transit events, for which we do not attempt to determine orbital parameters. The remaining 1052 candidates are previously known TESS candidates. We validate our pipeline through Magellan/Planet Finder Spectrograph radial-velocity follow-up measurements on one of our candidate hosts, TIC 183374187, a metal-poor thick-disk star, confirming the signal as a newly identified hot Jupiter, which we call TIC 183374187 b. This detection demonstrates our pipeline’s ability to identify real, previously undiscovered, transiting planets. Overall, this work shows that large-scale, machine learning–assisted transit searches of TESS FFIs can significantly expand the census of transiting planet candidates, in particular around faint stars, providing a rich target set for future validation and follow-up efforts. Our findings more than double the number of known TESS exoplanet candidates.

The Astrophysical Journal Supplement SeriesVol. 284(1)
University of California, Los Angeles (US), University of Concepción (CL), Carnegie Institution for Science (US), Princeton University (US), Carnegie Observatories (US), Las Campanas Observatory (CL), Massachusetts Institute of Technology (US)
National Aeronautics and Space Administration, Space Telescope Science Institute, Astrophysics Division
Openalex Percentile: Top 14%
Stellar, planetary, and galactic studies
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