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The detection of Lagrangian Coherent Structure (LCS) is an important challenge in fluid dynamics, particularly in
oceanography applications. For instance, knowledge of how regions of fluid are isolated from each other allows predictions
of where damaging contaminants in the ocean or atmosphere will end up. Traditional trajectory analysis focuses on full
trajectory histories that yield convoluted ?spaghetti plots?, that are hard to interpret. Fluid dynamics has given rise to the
concept of LCS, which provides a new way of understanding transport in complex fluid flow. Existing method detect LCS,
by examining the stretching field as given by finite-time Lyaponov exponents. These methods are very effective under the
action of the velocity field, but many applications have a small number of particles of flow trajectories are known, for example
when dealing with oceanic float data. We present a topological method for detecting invariant regions based on a small set of
trajectories. In the method we regard the two-dimensional trajectory data as a braid in three dimensions, with time being the
third coordinate. Invariant regions then correspond to trajectories that travel together and do not entangle other trajectories.
We detect these regions by examining the growth of hypothetical loops surrounding sets of trajectories, and searching for loops
that show negligible growth.
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