Abstract
With the recent availability of large-scale multi-epoch photometric datasets, we were able to study EBs en masse. Large samples are useful to determine not only statistical properties but for finding strange and curious systems that no one had ever studied before, binaries with peculiarities that may reveal physical significance. We present an updated and more detailed catalog of 4680 Northern EAs in the Catalina Sky Survey (CSS). This work includes, new systems, revised period determination and ephemerides, system morphology classification based on machine learning techniques, computation of principal physical parameters with the EBAI (Eclipsing Binary via Artificial Intelligence) and detection of eclipse timing variations. We identify several groups of interesting systems including those with low mass K and M dwarfs, systems with longterm modulation of the maximum brightness, systems with longterm period modulation, potential triple systems and systems with magnetic activity.
Highlights
Sky surveys represent a fundamental data basis for Eclipsing Binaries (EBs) since they can generate large, statistical samples or can be used to discover or generate samples of rare or unusual objects, and may lead to discoveries of some previously unknown types
From this sample Papageorgiou et al (2019) by applying the Eclipsing Binaries via Artificial Intelligence (EBAI) Artificial Neural Network (ANN), exracted the physical parameters using for the first time two independent methods, based on the template fitting (Layden, 1998), and the Two-Gaussian Model (Mowlavi et al, 2017)
In order to check that the above computation of ToM can emerge systems with period variations, we run successfully two tests, the first one on a synthetic detached light curve (LC) generated using PHOEBE 2.0 engine (Prsa et al, 2016) with a third component and the second on VY Cet, a well-known EB with period variations, using the LC from the All Sky Automated Survey (ASAS; Pojmanski et al, 2005)
Summary
Sky surveys represent a fundamental data basis for Eclipsing Binaries (EBs) since they can generate large, statistical samples or can be used to discover or generate samples of rare or unusual objects, and may lead to discoveries of some previously unknown types. In particular EBs with Algol type light curve (LC) morphology (EAs) provide a good chance to determine the fundamental physical properties of stars and to investigate the interaction between the components, mass transfer, magnetic breaking and the presence of tertiary companions.
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