2016
DOI: 10.1111/cgf.12846
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Inertial Steady 2D Vector Field Topology

Abstract: Figure 1: Visualization of inertial critical points and a glyph-based visualization of the asympotic behavior of inertial particles. The sink (blue critical point) that is reached by an inertial particle depends on its initial position x 0 and the initial velocity v 0 . The glyph location encodes x 0 and the glyph disc color-codes the sink that is reached for a certain v 0 . The glyph center represents v 0 = 0 and the selected glyph is enlarged in the bottom right corner, showing the seeds of inertial particle… Show more

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Cited by 13 publications
(31 citation statements)
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“…Starting with simple models is also an essential step in the research process, where we later try to extend and generalize. An example is the extension of inertial critical point classification [GT16a] to other equations of motion, as done in this paper, or the extraction of so‐called influence curves [GT16c] in more general inertial particle models [GT17]. Influence curves recover the origin of an inertial particle.…”
Section: Related Workmentioning
confidence: 99%
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“…Starting with simple models is also an essential step in the research process, where we later try to extend and generalize. An example is the extension of inertial critical point classification [GT16a] to other equations of motion, as done in this paper, or the extraction of so‐called influence curves [GT16c] in more general inertial particle models [GT17]. Influence curves recover the origin of an inertial particle.…”
Section: Related Workmentioning
confidence: 99%
“…Another approach is the definition of an abstract inertial flow map, which maps a seed location/velocity to the target location/velocity that is reached after integration for a certain duration. This approach was used for integration‐based concepts, such as inertial integral curves [GKKT13], the determination of stable sets [GT16a], or derived quantities such as multiplicity maps [SJJ* 17] or singular flow map gradients [GT16b]. Based on the flow map, finite‐time Lyapunov exponents (FTLE) can be defined, which measure the spatial separation of nearby‐released inertial particles [SH09,PD09].…”
Section: Related Workmentioning
confidence: 99%
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