Chaos identification through the autocorrelation function indicator $$({\textit{ACFI}})$$
Abstract
Chaotic motion affecting small bodies in the Solar system can be caused by close encounters or collisions or by resonance overlapping. Chaotic motion can be detected using approaches that measure the separation rate of trajectories that starts infinitesimally close or changes in the frequency power spectrum of time series, among others. In this work, we introduce an approach based on the autocorrelation function of time series, the null null...
Paper Details
Title
Chaos identification through the autocorrelation function indicator $$({\textit{ACFI}})$$
Published Date
Aug 1, 2021
Volume
133
Issue
8
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