Gaia-TESS synergy: Improving the identification of transit candidates
Aviad Panahi, Tsevi Mazeh, Shay Zucker, David W. Latham, Karen A., Collins, Lorenzo Rimoldini, Dafydd Wyn Evans, and Laurent Eyer

TL;DR
This paper demonstrates how combining Gaia's high-resolution photometry with TESS data improves the identification and confirmation of transiting exoplanet candidates by effectively distinguishing true planets from background eclipsing binaries.
Contribution
It introduces a Gaia-TESS collaborative method that enhances candidate validation and background binary exclusion, increasing efficiency in exoplanet detection.
Findings
Confirmed 126 on-target candidates since 2021
Excluded 124 background eclipsing binaries
Identified about 5% as genuine candidates and 5% as false positives
Abstract
Context: The TESS team periodically issues a new list of transiting exoplanet candidates based on the analysis of the accumulating light curves obtained by the satellite. The list includes the estimated epochs, periods, and durations of the potential transits. As the point spread function (PSF) of TESS is relatively wide, follow-up photometric observations at higher spatial resolution are required in order to exclude apparent transits that are actually blended background eclipsing binaries (BEBs). Aims: The Gaia space mission, with its growing database of epoch photometry and high angular resolution, enables the production of distinct light curves for all sources included in the TESS PSF, up to the limiting magnitude of Gaia. This paper reports the results of an ongoing Gaia-TESS collaboration that uses the Gaia photometry to facilitate the identification of BEB candidates and even to…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
