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dc.contributor.author
Charó, Gisela Daniela
dc.contributor.author
Artana, Guillermo Osvaldo
dc.contributor.author
Sciamarella, Denisse
dc.date.available
2022-12-15T18:33:04Z
dc.date.issued
2020-04
dc.identifier.citation
Charó, Gisela Daniela; Artana, Guillermo Osvaldo; Sciamarella, Denisse; Topology of dynamical reconstructions from Lagrangian data; Elsevier Science; Physica D - Nonlinear Phenomena; 405; 4-2020
dc.identifier.issn
0167-2789
dc.identifier.uri
http://hdl.handle.net/11336/181418
dc.description.abstract
Branched Manifold Analysis through Homologies (BraMAH) is a technique that computes the state-space topology of a dynamical reconstruction from scalar data. This work introduces the application of this technique to Lagrangian time series. The approach unveils the topological structure underlying the behavior of a fluid particle. When applied to a set of sparse particles, the results of the analysis can be used to classify them according to the dynamics they deploy during a given time window. Topological grids can be constructed to portray the spatial organization of the topological classes. The connection between the topological grids and the transport properties of the flow is examined using streaklines. Even if demonstrated here in the context of kinematic flow models, the generality of the method allows for its potential application to experimental or observational Lagrangian data satisfying the technical requirements for the analysis.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DELAY-COORDINATE EMBEDDING
dc.subject
HOMOLOGY
dc.subject
NONLINEAR TIME-SERIES ANALYSIS
dc.subject
TOPOLOGY
dc.subject.classification
Matemática Aplicada
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Topology of dynamical reconstructions from Lagrangian data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-12T14:35:34Z
dc.journal.volume
405
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Charó, Gisela Daniela. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Ingeniería Mecánica. Laboratorio de Fluidodinámica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Artana, Guillermo Osvaldo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Ingeniería Mecánica. Laboratorio de Fluidodinámica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Sciamarella, Denisse. Centre National de la Recherche Scientifique; Francia. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
dc.journal.title
Physica D - Nonlinear Phenomena
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.physd.2020.132371
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167278919305056
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