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| Paper: |
Vetting TESS Exoplanet Candidates with TRICERATOPS and LEO-Vetter |
| Volume: |
540, Compendium of Undergraduate Research in Astronomy and Space Science |
| Page: |
33 |
| Authors: |
Makaila Jennings; Douglas A. Caldwell |
| DOI: |
DOI:10.26624/HJEL9884 |
| Abstract: |
The TESS Science Processing Operation Center searches for transiting
planets in 160,000 targets selected from the full frame images (FFI) each observing
sector. The pipeline detects several thousand potential transit signals, or threshold-
crossing events (TCEs) from these targets. The TCEs must be vetted to see if they
are false positives or planet candidates. We vetted the TCEs from the FFI multi-sector
search of sectors 56-69. We first selected TCEs that had ExoMiner machine-learning
classification scores of greater than 0.5 (likely planet candidate) and then vetted them
using the TRICERATOPS and LEO-Vetter vetting tools. We identified 9 objects of
interest with radii between 1.26 and 8.19 earth radii and orbital periods between 1.22 and 36.91
days. We performed light curve modeling using the Allesfitter package to get the best-fit
transit parameters for these nine targets. |
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