2021
DOI: 10.1016/j.newast.2021.101571
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BO Ari Light Curve Analysis using Ground-Based and TESS Data

Abstract: New CCD photometric observations and their investigation of the W UMa-type binary, V870 Ara, are presented. Light curves of the system taken in filters from Congarinni Observatory in Australia. The new ephemeris is calculated based on seven new determined minima times together with the TESS data and others compiled from the literature. Photometric solutions determined with the Wilson-Devinney (W-D) code combined the Monte Carlo simulation to determine the adjustable parameters' uncertainties. These solutions s… Show more

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Cited by 12 publications
(3 citation statements)
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“…Passing light through different filters depends on the star's surface temperature according to the Planck Law radiation distributions. It means that by having data from the blue and visual filters we can calculate the (B-V) index and obtain a good estimation of a star's surface temperature (Poro et al 2021).…”
Section: Light Curve Analysismentioning
confidence: 99%
“…Passing light through different filters depends on the star's surface temperature according to the Planck Law radiation distributions. It means that by having data from the blue and visual filters we can calculate the (B-V) index and obtain a good estimation of a star's surface temperature (Poro et al 2021).…”
Section: Light Curve Analysismentioning
confidence: 99%
“…To determine the new times of minima and uncertainties, we utilized Python code using a Gaussian function and the Markov Chain Monte Carlo (MCMC) approach (Poro et al 2021). The minimum times in the previous studies and in this study were used to get the potential orbital period change using mideclipse times.…”
Section: Orbital Period Variationsmentioning
confidence: 99%
“…We used a Gaussian distribution model to fit selected portions of the light curves that included the minima to extract the times of minima from the TESS data. We employed MCMC sampling methods to determine the uncertainty of those timings [9,10]. The code is implemented in Python using the PyMC3 package [11].…”
Section: Dataset and Times Of Minimamentioning
confidence: 99%