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20102026
most citedProbing turbulent superstructures in Rayleigh-Bénard convection by Lagrangian trajectory clusters

44 citations · 183 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.DS2020★ 1 cited

Predicting bifurcations of almost-invariant patterns: a set-oriented approach

Moussa Ndour, Kathrin Padberg-Gehle

The understanding and prediction of sudden changes in flow patterns is of paramount importance in the analysis of geophysical flows as these rare events relate to critical phenomen…

math.DS2019★ 12 cited

Network Measures of Mixing

Ralf Banisch, Péter Koltai, Kathrin Padberg-Gehle

Transport and mixing processes in fluid flows can be studied directly from Lagrangian trajectory data, such as obtained from particle tracking experiments. Recent work in this cont…

math.DS2017★ 4 cited

Set-oriented numerical computation of rotation sets

Katja Polotzek, Kathrin Padberg-Gehle, Tobias Jäger

We establish a set-oriented algorithm for the numerical approximation of the rotation set of homeomorphisms of the two-torus homotopic to the identity. A theoretical background is…

math.DS2015

A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data

Gary Froyland, Kathrin Padberg-Gehle

We present a numerical method to identify regions of phase space that are approximately retained in a mobile compact neighbourhood over a finite time duration. Our approach is base…

math.DS2013★ 11 cited

Nonautonomous control of stable and unstable manifolds in two-dimensional flows

Sanjeeva Balasuriya, Kathrin Padberg-Gehle

We outline a method for controlling the location of stable and unstable manifolds in the following sense. From a known location of the stable and unstable manifolds in a steady two…