Modal Extraction in Spatially Extended Systems
Kapilanjan Krishan, Andreas Handel, Roman O. Grigoriev, Michael F., Schatz

TL;DR
This paper presents a practical method for extracting spatial structures and growth rates of slow eigenmodes in extended systems, demonstrated on Rayleigh-Bénard convection, with potential applications to complex dynamical states.
Contribution
It introduces a novel experimental procedure for characterizing eigenmodes and their spectra in spatially extended systems, enabling analysis of complex dynamical behaviors.
Findings
Successfully constructed the spectrum of linear modes near the secondary instability boundary.
Demonstrated the technique on Rayleigh-Bénard convection.
Suggested approach for characterizing complex dynamical states.
Abstract
We describe a practical procedure for extracting the spatial structure and the growth rates of slow eigenmodes of a spatially extended system, using a unique experimental capability both to impose and to perturb desired initial states. The procedure is used to construct experimentally the spectrum of linear modes near the secondary instability boundary in Rayleigh-B\'{e}nard convection. This technique suggests an approach to experimental characterization of more complex dynamical states such as periodic orbits or spatiotemporal chaos.
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Taxonomy
TopicsModel Reduction and Neural Networks · Probabilistic and Robust Engineering Design · Neural Networks and Applications
