Recurrence Network Analysis of Exoplanetary Observables
arXiv:1908.02158 · doi:10.1063/1.5109564
Abstract
Recent advancements of complex network representation among several disciplines motivated the investigation of exoplanetary dynamics by means of recurrence networks. We are able to recover different dynamical regimes by means of various network measures obtained from synthetic time series of a model planetary system. The framework of complex networks is also applied to real astronomical observations acquired by recent state-of-the-art surveys. The outcome of the analysis is consistent with earlier studies opening new directions to investigate planetary dynamics.
8 pages, 9 figures, published in CHAOS
References in corpus (6)
- Seven temperate terrestrial planets around the nearby ultracool dwarf star TRAPPIST-1
- Complex network approaches to nonlinear time series analysis
- Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods
- Dynamical Evolution of Multi-Resonant Systems: the Case of GJ876
- Surrogate Test to Distinguish between Chaotic and Pseudoperiodic Time Series
- The Reversibility Error Method (REM): a new, dynamical fast indicator for planetary dynamics