Improving light curve parameters of exoplanets based on TESS data
Authors | |
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Year of publication | 2021 |
Type | Article in Periodical |
Magazine / Source | Contributions of the Astronomical Observatory Skalnaté Pleso |
MU Faculty or unit | |
Citation | |
Web | https://doi.org/10.31577/caosp.2021.51.1.68 |
Doi | http://dx.doi.org/10.31577/caosp.2021.51.1.68 |
Keywords | Methods: data analysis; Techniques: photometric; Stars: planetary systems; Stars: individual: HAT-P-5; HATS-33; HATS-24 |
Description | We revise parameters of four transiting hot Jupiter planets discovered by ground-based surveys. We use follow-up observations carried by TESS mission together with PyTransit software. Space telescopes like TESS provide better coverage and photometry precision than ground-based telescopes. PyTransit is fast and user-friendly exoplanet transit light curve modelling package, implementing optimised versions of the Gimenéz and the Mandel & Agol transit models. After applying PyTransit to TESS data, our results show an improvement in the exoplanets parameters estimation. |
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