Improving light curve parameters of exoplanets based on TESS data

Investor logo

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

GAJDOŠ P. MALIUK A. VÍTKOVÁ Michaela PARVIAINEN H.

Year of publication 2021
Type Article in Periodical
Magazine / Source Contributions of the Astronomical Observatory Skalnaté Pleso
MU Faculty or unit

Faculty of Science

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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.