Improving light curve parameters of exoplanets based on TESS data
Parviainen, H.; Maliuk, A.; Vítková, M.; Gajdoš, P.
Slovakia, Czech Republic, Spain
Abstract
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.