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    <id>3691</id>
    <completedYear>2010</completedYear>
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    <publisherName>Visualization at 28th Annual Gallery of Fluid Motion exhibit, held at the 63th Annual Meeting of the American Physical Society, Division of Fluid Dynamics (Long Beach, CA, USA, November 21-23, 2010).</publisherName>
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    <title language="eng">Flow over a Cavity – Evolution of the Vortex Skeleton</title>
    <enrichment key="PeerReviewed">no</enrichment>
    <author>Jens Kasten</author>
    <author>Jan Reininghaus</author>
    <author>Kilian Oberleithner</author>
    <author>Ingrid Hotz</author>
    <author>Bernd Noack</author>
    <author>Hans-Christian Hege</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="institutes" number="compvis">Vergleichende Visualisierung</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="FLOW-ANALYSISII">FLOW-ANALYSISII</collection>
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  <doc>
    <id>5831</id>
    <completedYear>2016</completedYear>
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    <language>eng</language>
    <pageFirst>55</pageFirst>
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    <issue>1</issue>
    <volume>68</volume>
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    <completedDate>2016-02-25</completedDate>
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    <title language="eng">Acceleration feature points of unsteady shear flows</title>
    <abstract language="eng">A framework is proposed for extracting features in 2D transient flows, based on the acceleration field to ensure Galilean invariance. The minima of the acceleration magnitude, i.e. a superset of the acceleration zeros, are extracted and discriminated into vortices and saddle points --- based on the spectral properties of the velocity Jacobian. The extraction of topological features is performed with purely combinatorial algorithms from discrete computational topology. The feature points are prioritized with persistence, as a physically meaningful importance measure. These features are tracked in time with a robust algorithm for tracking features. Thus a space-time hierarchy of the minima is built and vortex merging events are detected. The acceleration feature extraction strategy is applied to three two-dimensional shear flows:&#13;
(1) an incompressible periodic cylinder wake,&#13;
(2) an incompressible planar mixing layer and&#13;
(3) a weakly compressible planar jet.&#13;
The vortex-like acceleration feature points are shown to be well aligned with acceleration zeros, maxima of the vorticity magnitude, minima of pressure field and minima of λ2.</abstract>
    <parentTitle language="eng">Archives of Mechanics</parentTitle>
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    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-58397</enrichment>
    <author>Jens Kasten</author>
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    <author>Jan Reininghaus</author>
    <author>Ingrid Hotz</author>
    <author>Hans-Christian Hege</author>
    <author>Bernd Noack</author>
    <author>Guillaume Daviller</author>
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  <doc>
    <id>5839</id>
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    <publishedYear>2015</publishedYear>
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    <language>eng</language>
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    <publishedDate>2015-12-20</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Acceleration feature points of unsteady shear flows</title>
    <abstract language="eng">A framework is proposed for extracting features in 2D transient flows, based on the acceleration field to ensure Galilean invariance. The minima of the acceleration magnitude, i.e. a superset of the acceleration zeros, are extracted and discriminated into vortices and saddle points --- based on the spectral properties of the velocity Jacobian. The extraction of topological features is performed with purely combinatorial algorithms from discrete computational topology. The feature points are prioritized with persistence, as a physically meaningful importance measure. These features are tracked in time with a robust algorithm for tracking features. Thus a space-time hierarchy of the minima is built and vortex merging events are detected. The acceleration feature extraction strategy is applied to three two-dimensional shear flows: (1) an incompressible periodic cylinder wake, (2) an incompressible planar mixing layer and (3) a weakly compressible planar jet. The vortex-like acceleration feature points are shown to be well aligned with acceleration zeros, maxima of the vorticity magnitude, minima of pressure field and minima of λ2.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-58397</identifier>
    <enrichment key="SourceTitle">Appeared in: Archives of Mechanics 68 (2016) 55-80</enrichment>
    <author>Jens Kasten</author>
    <submitter>Regine Kossick</submitter>
    <author>Jan Reininghaus</author>
    <author>Ingrid Hotz</author>
    <author>Hans-Christian Hege</author>
    <author>Bernd Noack</author>
    <author>Guillaume Daviller</author>
    <author>Marek Morzyński</author>
    <series>
      <title>ZIB-Report</title>
      <number>15-65</number>
    </series>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="visalgo">Visual Data Analysis in Science and Engineering</collection>
    <collection role="persons" number="hege">Hege, Hans-Christian</collection>
    <collection role="projects" number="FLOW-ANALYSISII">FLOW-ANALYSISII</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/5839/ZIB-Report-15-65.pdf</file>
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