34 citations · 85 across the 10 of their papers we have counts for
9 papers
Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
Anisha R. V. Kashyap, D. Pawar, R. Misra +2
In this work, we propose a novel method to classify close binary stars, derived from the dynamical structure inherent in their light curves. We apply the technique to light curves…
Evidence for dynamical changes in Betelgeuse using multi-wavelength data
Sneha Kachhara, Sandip V. George, Ranjeev Misra +1
The reasons behind the Great Dimming and subsequent rising in the brightness of Betelgeuse between October 2019 and March 2020 still continue to baffle astronomers. It has been sho…
Early warning signals for critical transitions in complex systems
Sandip V. George, Sneha Kachhara, G. Ambika
In this topical review, we present a brief overview of the different methods and measures to detect the occurrence of critical transitions in complex systems. We start by introduci…
Early Warning Signals Indicate a Critical Transition in Betelgeuse
Sandip V. George, Sneha Kachhara, Ranjeev Misra +1
Critical transitions occur in complex dynamical systems, when the system dynamics undergoes a regime shift. These can often occur with little change in the mean amplitude of system…
Classification of Close Binary Stars Using Recurrence Networks
Sandip V. George, R. Misra, G. Ambika
Close binary stars are binary stars where the component stars are close enough such that they can exchange mass and/or energy. They are subdivided into semi-detached, overcontact o…
Fractal Measures and Nonlinear Dynamics of Overcontact Binaries
Sandip V. George, R. Misra, G. Ambika
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 s…
Nonlinearity in Data with Gaps: Application to Ecological and Meteorological Datasets
Sandip V. George, G. Ambika
Datagaps are ubiquitous in real world observational data. Quantifying nonlinearity in data having gaps can be challenging. Reported research points out that interpolation can affec…
Detecting Dynamical States from Noisy Time Series using Bicoherence
Sandip V. George, G. Ambika, R. Misra
Deriving meaningful information from observational data is often restricted by many limiting factors, the most important of which is the presence of noise. In this work, we present…
Effect of data gaps on correlation dimension computed from light curves of variable stars
Sandip V. George, G. Ambika, R. Misra
Observational data, especially astrophysical data, is often limited by gaps in data that arises due to lack of observations for a variety of reasons. Such inadvertent gaps are usua…