2021
DOI: 10.31577/caosp.2021.51.1.58
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Consequences of parameterization choice on eclipsing binary light curve solutions

Abstract: Eclipsing Binaries (EBs) are known to be the source of most accurate stellar parameters, which are important for testing theories of stellar evolution. With improved quality and quantity of observations using space telescopes like TESS, there is an urgent need for accuracy in modeling to obtain precise parameters. We use the soon to be released PHOEBE 2.3 EB modeling package to test the robustness and accuracy of parameters and their dependency on choice of parameters for optimization.

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Cited by 3 publications
(3 citation statements)
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“…Overall, the students, tutors and lecturers did a great job. The results of the students projects are summarized in (Gajdoš et al, 2021;Maryeva et al, 2021;Korth et al, 2021;Merc et al, 2021, this proceedings).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Overall, the students, tutors and lecturers did a great job. The results of the students projects are summarized in (Gajdoš et al, 2021;Maryeva et al, 2021;Korth et al, 2021;Merc et al, 2021, this proceedings).…”
Section: Discussionmentioning
confidence: 99%
“…Briefly, the exoplanet group revised the parameters of four transiting hot Jupiter planets by using PyTransit software (Parviainen, 2015) on the TESS data (Gajdoš et al, 2021). The binary group tested the robustness and accuracy of parameters using the soon to be released PHOEBE 2.3 EB modeling package (Conroy et al, 2020) on the TESS data of AI Phe (Korth et al, 2021). Project on stellar flares was focused on search for flare stars in 136 open clusters by using TESS light curves and utilizing GAIA data (Maryeva et al, 2021).…”
Section: The Projectsmentioning
confidence: 99%
“…Accuracy of less than 1% can be attained by coupling high-precision photometry and high-resolution spectroscopy (Torres et al 2010). The accuracy is robust and independent of different models and methods, even varying slightly due to different numerical implementations (Maxted et al 2020;Korth et al 2021).…”
Section: Introductionmentioning
confidence: 99%