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Title: | Fractal measures and nonlinear dynamics of overcontact binaries |
Authors: | GEORGE, SANDIP V. Misra, R. AMBIKA, G. Dept. of Physics |
Keywords: | Overcontact binary Bicoherence Correlation dimension Multifractal spectrum TOC-OCT-2019 2020 |
Issue Date: | Jan-2020 |
Publisher: | Elsevier B.V. |
Citation: | Communications in Nonlinear Science and Numerical Simulation, 80, 104988. |
Abstract: | Overcontact binary stars are systems of two stars where the component stars are in contact with each other. This implies that they share a common envelope of gas. In this work we seek signatures of nonlinearity and chaos in these stars by using time series analysis techniques. We use three main techniques, namely the correlation dimension, f(?) spectrum and the bicoherence. The former two are calculated from the reconstructed dynamics, while the latter is calculated from the Fourier transforms of the time series of intensity variations(light curves) of these stars. Our dataset consists of data from 463 overcontact binary stars in the Kepler field of view [1]. Our analysis indicates nonlinearity and signatures of chaos in almost all the light curves. We also explore whether the underlying nonlinear properties of the stars are related to their physical properties like fill-out-factor which is a measure of the extend of contact between the components of an overcontact binary system. We observe that significant correlations exist between the fill out factor and the nonlinear quantifiers. This correlation is more pronounced in specific subcategories constructed based on the mass ratios and effective temperatures of the binaries. The correlations observed can be indicative of variations in the nonlinear properties of the star as it ages. We believe that this study relating nonlinear and astrophysical properties of binary stars is the first of its kind and is an important starting point for such studies in other astrophysical objects displaying nonlinear dynamical behavior. |
URI: | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/4172 https://doi.org/10.1016/j.cnsns.2019.104988 |
ISSN: | 1007-5704 1878-7274 |
Appears in Collections: | JOURNAL ARTICLES |
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