Improving light curve parameters of exoplanets based on TESS data

Bibcode
2021CoSka..51...68G
DOI
10.31577/caosp.2021.51.1.68
Gajdoš, P.; Maliuk, A.; Vítková, M.; Parviainen, H.
Bibliographical reference

Contributions of the Astronomical Observatory Skalnate Pleso

Advertised on:
1
2021
Number of authors
4
IAC number of authors
1
Citations
1
Refereed citations
1
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
Projects' name image
Exoplanets and Astrobiology
The search for life in the universe has been driven by recent discoveries of planets around other stars (known as exoplanets), becoming one of the most active fields in modern astrophysics. The growing number of new exoplanets discovered in recent years and the recent advance on the study of their atmospheres are not only providing new valuable
Enric
Pallé Bago
In progress
Type
Refereed
Exoplanetary Systems & Solar System (SEYSS)
Methods
Techniques

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