The TESS Faint-star Search: 1617 TOIs from the TESS Primary Mission
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Kunimoto_2022_ApJS_259_33.pdf
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Published version
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Author(s)
Kunimoto, Michelle
Daylan, Tansu
Guerrero, Natalia
Fong, William
Bryson, Steve
Ricker, George R
Fausnaugh, Michael
Huang, Chelsea X
Sha, Lizhou
Shporer, Avi
Date Issued
April 1, 2022
Journal
The Astrophysical Journal Supplement Series
Publisher
American Astronomical Society
Citation
Kunimoto, Michelle, Daylan, Tansu, Guerrero, Natalia, Fong, William, Bryson, Steve et al. 2022. "The TESS Faint-star Search: 1617 TOIs from the TESS Primary Mission." The Astrophysical Journal Supplement Series, 259 (2).
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Final published version
Abstract
Abstract
We present the detection of 1617 new transiting-planet candidates, identified in the Transiting Exoplanet Survey Satellite (TESS) full-frame images observed during the Primary Mission (Sectors 1–26). These candidates were initially detected by the Quick-Look Pipeline (QLP), which extracts full-frame image lightcurves for, and searches all stars brighter than, TESS magnitude T = 13.5 mag in each sector. However, QLP heavily relies on manual inspection for the identification of planet candidates, limiting vetting efforts to planet-hosting stars brighter than T = 10.5 mag and leaving millions of potential transit signals unvetted. We describe an independent vetting pipeline applied to QLP transit search results, incorporating both automated vetting tests and manual inspection to identify promising planet candidates around these fainter stars. The new candidates discovered by this ongoing project will allow TESS to significantly improve the statistical power of demographic studies of giant, close-in exoplanets.
We present the detection of 1617 new transiting-planet candidates, identified in the Transiting Exoplanet Survey Satellite (TESS) full-frame images observed during the Primary Mission (Sectors 1–26). These candidates were initially detected by the Quick-Look Pipeline (QLP), which extracts full-frame image lightcurves for, and searches all stars brighter than, TESS magnitude T = 13.5 mag in each sector. However, QLP heavily relies on manual inspection for the identification of planet candidates, limiting vetting efforts to planet-hosting stars brighter than T = 10.5 mag and leaving millions of potential transit signals unvetted. We describe an independent vetting pipeline applied to QLP transit search results, incorporating both automated vetting tests and manual inspection to identify promising planet candidates around these fainter stars. The new candidates discovered by this ongoing project will allow TESS to significantly improve the statistical power of demographic studies of giant, close-in exoplanets.
MIT Department
Massachusetts Institute of Technology. Department of Physics
MIT Kavli Institute for Astrophysics and Space Research
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Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.3847/1538-4365/ac5688
