2022
DOI: 10.3847/1538-3881/ac959a
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Evidence of Long-term Period Variations in the Exoplanet Transit Database (ETD)

Abstract: We analyze a large number of citizen science data and identify eight hot Jupiter systems that show evidence for deviations from a constant orbital period: HAT-P-19 b, HAT-P-32 b, TrES-1 b, TrES-2 b, TrES-5 b, WASP-4 b, WASP-10 b, and WASP-12 b. The latter system is already well known to exhibit strong evidence for tidal orbital decay and serves as an important control for this study. Several other systems we identify have disputed period drifts in the literature, allowing the results here to serve as an indepe… Show more

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Cited by 12 publications
(16 citation statements)
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“…A recent analysis of TESS data confirmed this decay rate, reducing the error bars below 1 ms yr −1 (Wong et al 2022). Possible tidal decay has also been reported for several other systems, including XO-3 b (Ivshina & Winn 2022;Yang & Wei 2022), WASP-19 b (Patra et al 2020;Ivshina & Winn 2022), TrES-1 b, TrES-2 b, HAT-P-19 b (Hagey et al 2022), Kepler-1658b (Vissapragada et al 2022, and KELT-9 b (Harre et al 2023). However, definitive confirmation will likely require additional years of observations, and knowing which planets to prioritize requires understanding how decay is detected and what parameters best suit a system to exhibit detectable decay.…”
Section: Introductionsupporting
confidence: 68%
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“…A recent analysis of TESS data confirmed this decay rate, reducing the error bars below 1 ms yr −1 (Wong et al 2022). Possible tidal decay has also been reported for several other systems, including XO-3 b (Ivshina & Winn 2022;Yang & Wei 2022), WASP-19 b (Patra et al 2020;Ivshina & Winn 2022), TrES-1 b, TrES-2 b, HAT-P-19 b (Hagey et al 2022), Kepler-1658b (Vissapragada et al 2022, and KELT-9 b (Harre et al 2023). However, definitive confirmation will likely require additional years of observations, and knowing which planets to prioritize requires understanding how decay is detected and what parameters best suit a system to exhibit detectable decay.…”
Section: Introductionsupporting
confidence: 68%
“…Naturally, this approach comes with important caveats and limitations. For instance, we have assumed a linear regression approach, but real transit data may have complex and asymmetric uncertainties (Hagey et al 2022) for which such an approach is only an approximation. Our approach also assumes that the BIC provides an accurate means for comparing models with tidal decay and those without.…”
Section: Discussionmentioning
confidence: 99%
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