Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters

Autores
Orellana, Rosa Beatriz; Perichinsky, Gregorio; Plastino, Ángel Luis
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A new method is presented here to identify the members of an open cluster, based on computational taxonomy: “the spectral method”. The characters used for the analysis are position and proper motion of all the stars belonging to the cluster’s region. Taxonomy allows to groups the stars together (OTU’s) in clusters, based on its genotypic characteristic, which shows the similarity, between two or more Stars (OTU’s). The method has been applied to open cluster NGC2516. The outcome list of members agrees very well with the one obtained by applying other methods.
Facultad de Ciencias Astronómicas y Geofísicas
Instituto de Astrofísica de La Plata
Facultad de Ciencias Exactas
Materia
Ciencias Exactas
Ciencias Astronómicas
open cluster
computational taxonomy
NGC2516
proper motion
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/94045
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/94045
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Computational Taxonomy for Identification of "Moving Groups" : Applied to Open ClustersOrellana, Rosa BeatrizPerichinsky, GregorioPlastino, Ángel LuisCiencias ExactasCiencias Astronómicasopen clustercomputational taxonomyNGC2516proper motionA new method is presented here to identify the members of an open cluster, based on computational taxonomy: “the spectral method”. The characters used for the analysis are position and proper motion of all the stars belonging to the cluster’s region. Taxonomy allows to groups the stars together (OTU’s) in clusters, based on its genotypic characteristic, which shows the similarity, between two or more Stars (OTU’s). The method has been applied to open cluster NGC2516. The outcome list of members agrees very well with the one obtained by applying other methods.Facultad de Ciencias Astronómicas y GeofísicasInstituto de Astrofísica de La PlataFacultad de Ciencias Exactas2010-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf173-180http://sedici.unlp.edu.ar/handle/10915/94045enginfo:eu-repo/semantics/altIdentifier/url/http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-1-29.pdfinfo:eu-repo/semantics/altIdentifier/issn/1584-2665info:eu-repo/semantics/altIdentifier/hdl/11336/9730info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:19:26Zoai:sedici.unlp.edu.ar:10915/94045Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:19:27.016SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
title Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
spellingShingle Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
Orellana, Rosa Beatriz
Ciencias Exactas
Ciencias Astronómicas
open cluster
computational taxonomy
NGC2516
proper motion
title_short Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
title_full Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
title_fullStr Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
title_full_unstemmed Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
title_sort Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
dc.creator.none.fl_str_mv Orellana, Rosa Beatriz
Perichinsky, Gregorio
Plastino, Ángel Luis
author Orellana, Rosa Beatriz
author_facet Orellana, Rosa Beatriz
Perichinsky, Gregorio
Plastino, Ángel Luis
author_role author
author2 Perichinsky, Gregorio
Plastino, Ángel Luis
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Exactas
Ciencias Astronómicas
open cluster
computational taxonomy
NGC2516
proper motion
topic Ciencias Exactas
Ciencias Astronómicas
open cluster
computational taxonomy
NGC2516
proper motion
dc.description.none.fl_txt_mv A new method is presented here to identify the members of an open cluster, based on computational taxonomy: “the spectral method”. The characters used for the analysis are position and proper motion of all the stars belonging to the cluster’s region. Taxonomy allows to groups the stars together (OTU’s) in clusters, based on its genotypic characteristic, which shows the similarity, between two or more Stars (OTU’s). The method has been applied to open cluster NGC2516. The outcome list of members agrees very well with the one obtained by applying other methods.
Facultad de Ciencias Astronómicas y Geofísicas
Instituto de Astrofísica de La Plata
Facultad de Ciencias Exactas
description A new method is presented here to identify the members of an open cluster, based on computational taxonomy: “the spectral method”. The characters used for the analysis are position and proper motion of all the stars belonging to the cluster’s region. Taxonomy allows to groups the stars together (OTU’s) in clusters, based on its genotypic characteristic, which shows the similarity, between two or more Stars (OTU’s). The method has been applied to open cluster NGC2516. The outcome list of members agrees very well with the one obtained by applying other methods.
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
Articulo
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://sedici.unlp.edu.ar/handle/10915/94045
url http://sedici.unlp.edu.ar/handle/10915/94045
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-1-29.pdf
info:eu-repo/semantics/altIdentifier/issn/1584-2665
info:eu-repo/semantics/altIdentifier/hdl/11336/9730
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
173-180
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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