Structures in magnetohydrodynamic turbulence: Detection and scaling
- Autores
- Uritsky, Vadim; Pouquet, A.; Rosenberg, Duane; Mininni, Pablo Daniel; Donovan, E.F.
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We present a systematic analysis of statistical properties of turbulent current and vorticity structures at a given time using cluster analysis. The data stem from numerical simulations of decaying three-dimensional magnetohydrodynamic turbulence in the absence of an imposed uniform magnetic field; the magnetic Prandtl number is taken equal to unity, and we use a periodic box with grids of up to 15363 points and with Taylor Reynolds numbers up to 1100. The initial conditions are either an X -point configuration embedded in three dimensions, the so-called Orszag-Tang vortex, or an Arn'old-Beltrami-Childress configuration with a fully helical velocity and magnetic field. In each case two snapshots are analyzed, separated by one turn-over time, starting just after the peak of dissipation. We show that the algorithm is able to select a large number of structures (in excess of 8000) for each snapshot and that the statistical properties of these clusters are remarkably similar for the two snapshots as well as for the two flows under study in terms of scaling laws for the cluster characteristics, with the structures in the vorticity and in the current behaving in the same way. We also study the effect of Reynolds number on cluster statistics, and we finally analyze the properties of these clusters in terms of their velocity-magnetic- field correlation. Self-organized criticality features have been identified in the dissipative range of scales. A different scaling arises in the inertial range, which cannot be identified for the moment with a known self-organized criticality class consistent with magnetohydrodynamics. We suggest that this range can be governed by turbulence dynamics as opposed to criticality and propose an interpretation of intermittency in terms of propagation of local instabilities. © 2010 The American Physical Society.
Fil: Uritsky, Vadim. University of Calgary; Canadá
Fil: Pouquet, A.. National Center for Atmospheric Research; Estados Unidos
Fil: Rosenberg, Duane. National Center for Atmospheric Research; Estados Unidos
Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Donovan, E.F.. University of Calgary; Canadá - Materia
-
Magnetohydrodynamics And Electrohydrodynamics
High-Reynolds-Number Turbulence
Mhd Waves
Plasma Waves, Turbulence, Magnetohydrodynamics And Plasmas - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/57155
Ver los metadatos del registro completo
id |
CONICETDig_c4d5666301a70e20c409c28821bc02a5 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/57155 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Structures in magnetohydrodynamic turbulence: Detection and scalingUritsky, VadimPouquet, A.Rosenberg, DuaneMininni, Pablo DanielDonovan, E.F.Magnetohydrodynamics And ElectrohydrodynamicsHigh-Reynolds-Number TurbulenceMhd WavesPlasma Waves, Turbulence, Magnetohydrodynamics And Plasmashttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We present a systematic analysis of statistical properties of turbulent current and vorticity structures at a given time using cluster analysis. The data stem from numerical simulations of decaying three-dimensional magnetohydrodynamic turbulence in the absence of an imposed uniform magnetic field; the magnetic Prandtl number is taken equal to unity, and we use a periodic box with grids of up to 15363 points and with Taylor Reynolds numbers up to 1100. The initial conditions are either an X -point configuration embedded in three dimensions, the so-called Orszag-Tang vortex, or an Arn'old-Beltrami-Childress configuration with a fully helical velocity and magnetic field. In each case two snapshots are analyzed, separated by one turn-over time, starting just after the peak of dissipation. We show that the algorithm is able to select a large number of structures (in excess of 8000) for each snapshot and that the statistical properties of these clusters are remarkably similar for the two snapshots as well as for the two flows under study in terms of scaling laws for the cluster characteristics, with the structures in the vorticity and in the current behaving in the same way. We also study the effect of Reynolds number on cluster statistics, and we finally analyze the properties of these clusters in terms of their velocity-magnetic- field correlation. Self-organized criticality features have been identified in the dissipative range of scales. A different scaling arises in the inertial range, which cannot be identified for the moment with a known self-organized criticality class consistent with magnetohydrodynamics. We suggest that this range can be governed by turbulence dynamics as opposed to criticality and propose an interpretation of intermittency in terms of propagation of local instabilities. © 2010 The American Physical Society.Fil: Uritsky, Vadim. University of Calgary; CanadáFil: Pouquet, A.. National Center for Atmospheric Research; Estados UnidosFil: Rosenberg, Duane. National Center for Atmospheric Research; Estados UnidosFil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Donovan, E.F.. University of Calgary; CanadáAmerican Physical Society2010-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/57155Uritsky, Vadim; Pouquet, A.; Rosenberg, Duane; Mininni, Pablo Daniel; Donovan, E.F.; Structures in magnetohydrodynamic turbulence: Detection and scaling; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 82; 5; 11-2010; 5632601-56326151539-3755CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.aps.org/doi/10.1103/PhysRevE.82.056326info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.82.056326info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:20Zoai:ri.conicet.gov.ar:11336/57155instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:33:21.085CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
title |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
spellingShingle |
Structures in magnetohydrodynamic turbulence: Detection and scaling Uritsky, Vadim Magnetohydrodynamics And Electrohydrodynamics High-Reynolds-Number Turbulence Mhd Waves Plasma Waves, Turbulence, Magnetohydrodynamics And Plasmas |
title_short |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
title_full |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
title_fullStr |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
title_full_unstemmed |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
title_sort |
Structures in magnetohydrodynamic turbulence: Detection and scaling |
dc.creator.none.fl_str_mv |
Uritsky, Vadim Pouquet, A. Rosenberg, Duane Mininni, Pablo Daniel Donovan, E.F. |
author |
Uritsky, Vadim |
author_facet |
Uritsky, Vadim Pouquet, A. Rosenberg, Duane Mininni, Pablo Daniel Donovan, E.F. |
author_role |
author |
author2 |
Pouquet, A. Rosenberg, Duane Mininni, Pablo Daniel Donovan, E.F. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Magnetohydrodynamics And Electrohydrodynamics High-Reynolds-Number Turbulence Mhd Waves Plasma Waves, Turbulence, Magnetohydrodynamics And Plasmas |
topic |
Magnetohydrodynamics And Electrohydrodynamics High-Reynolds-Number Turbulence Mhd Waves Plasma Waves, Turbulence, Magnetohydrodynamics And Plasmas |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
We present a systematic analysis of statistical properties of turbulent current and vorticity structures at a given time using cluster analysis. The data stem from numerical simulations of decaying three-dimensional magnetohydrodynamic turbulence in the absence of an imposed uniform magnetic field; the magnetic Prandtl number is taken equal to unity, and we use a periodic box with grids of up to 15363 points and with Taylor Reynolds numbers up to 1100. The initial conditions are either an X -point configuration embedded in three dimensions, the so-called Orszag-Tang vortex, or an Arn'old-Beltrami-Childress configuration with a fully helical velocity and magnetic field. In each case two snapshots are analyzed, separated by one turn-over time, starting just after the peak of dissipation. We show that the algorithm is able to select a large number of structures (in excess of 8000) for each snapshot and that the statistical properties of these clusters are remarkably similar for the two snapshots as well as for the two flows under study in terms of scaling laws for the cluster characteristics, with the structures in the vorticity and in the current behaving in the same way. We also study the effect of Reynolds number on cluster statistics, and we finally analyze the properties of these clusters in terms of their velocity-magnetic- field correlation. Self-organized criticality features have been identified in the dissipative range of scales. A different scaling arises in the inertial range, which cannot be identified for the moment with a known self-organized criticality class consistent with magnetohydrodynamics. We suggest that this range can be governed by turbulence dynamics as opposed to criticality and propose an interpretation of intermittency in terms of propagation of local instabilities. © 2010 The American Physical Society. Fil: Uritsky, Vadim. University of Calgary; Canadá Fil: Pouquet, A.. National Center for Atmospheric Research; Estados Unidos Fil: Rosenberg, Duane. National Center for Atmospheric Research; Estados Unidos Fil: Mininni, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina Fil: Donovan, E.F.. University of Calgary; Canadá |
description |
We present a systematic analysis of statistical properties of turbulent current and vorticity structures at a given time using cluster analysis. The data stem from numerical simulations of decaying three-dimensional magnetohydrodynamic turbulence in the absence of an imposed uniform magnetic field; the magnetic Prandtl number is taken equal to unity, and we use a periodic box with grids of up to 15363 points and with Taylor Reynolds numbers up to 1100. The initial conditions are either an X -point configuration embedded in three dimensions, the so-called Orszag-Tang vortex, or an Arn'old-Beltrami-Childress configuration with a fully helical velocity and magnetic field. In each case two snapshots are analyzed, separated by one turn-over time, starting just after the peak of dissipation. We show that the algorithm is able to select a large number of structures (in excess of 8000) for each snapshot and that the statistical properties of these clusters are remarkably similar for the two snapshots as well as for the two flows under study in terms of scaling laws for the cluster characteristics, with the structures in the vorticity and in the current behaving in the same way. We also study the effect of Reynolds number on cluster statistics, and we finally analyze the properties of these clusters in terms of their velocity-magnetic- field correlation. Self-organized criticality features have been identified in the dissipative range of scales. A different scaling arises in the inertial range, which cannot be identified for the moment with a known self-organized criticality class consistent with magnetohydrodynamics. We suggest that this range can be governed by turbulence dynamics as opposed to criticality and propose an interpretation of intermittency in terms of propagation of local instabilities. © 2010 The American Physical Society. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/57155 Uritsky, Vadim; Pouquet, A.; Rosenberg, Duane; Mininni, Pablo Daniel; Donovan, E.F.; Structures in magnetohydrodynamic turbulence: Detection and scaling; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 82; 5; 11-2010; 5632601-5632615 1539-3755 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/57155 |
identifier_str_mv |
Uritsky, Vadim; Pouquet, A.; Rosenberg, Duane; Mininni, Pablo Daniel; Donovan, E.F.; Structures in magnetohydrodynamic turbulence: Detection and scaling; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 82; 5; 11-2010; 5632601-5632615 1539-3755 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://link.aps.org/doi/10.1103/PhysRevE.82.056326 info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.82.056326 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Physical Society |
publisher.none.fl_str_mv |
American Physical Society |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613024084656128 |
score |
13.070432 |