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Random Dynamics from Time Series of Rotating Fluid

Abstract

A random dynamics is extracted from time series of laminar-turbulent transition in rotating fluid\ud in an open cylinder. We focus on the dynamics of the surface height in the central region and\ud measure switching dynamics between different quasi-stationary states and intensity of underlying\ud turbulence. Density of return map is constructed from an one dimensional map with an stochastic\ud term from the experimental data. It is shown that the random dynamics whose noise amplitude\ud depends on the slow variable describes the observed macroscopic features of rotating fluid in terms\ud of noise-induced phenomena

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