Publication details
Improving light curve parameters of exoplanets based on TESS data
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Peer-reviewed scientific article |
| 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 | https://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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