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

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...

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Detalles Bibliográficos
Autores principales:	Orellana, Rosa Beatriz, Perichinsky, Gregorio, Plastino, Ángel Luis
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2010
Materias:	Ciencias Exactas Ciencias Astronómicas open cluster computational taxonomy NGC2516 proper motion
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/94045 http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-1-29.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-94045
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Exactas Ciencias Astronómicas open cluster computational taxonomy NGC2516 proper motion
spellingShingle	Ciencias Exactas Ciencias Astronómicas open cluster computational taxonomy NGC2516 proper motion Orellana, Rosa Beatriz Perichinsky, Gregorio Plastino, Ángel Luis Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
topic_facet	Ciencias Exactas Ciencias Astronómicas open cluster computational taxonomy NGC2516 proper motion
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.
format	Articulo Articulo
author	Orellana, Rosa Beatriz Perichinsky, Gregorio Plastino, Ángel Luis
author_facet	Orellana, Rosa Beatriz Perichinsky, Gregorio Plastino, Ángel Luis
author_sort	Orellana, Rosa Beatriz
title	Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters
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
publishDate	2010
url	http://sedici.unlp.edu.ar/handle/10915/94045 http://annals.fih.upt.ro/pdf-full/2010/ANNALS-2010-1-29.pdf
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bdutipo_str	Repositorios
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Computational Taxonomy for Identification of "Moving Groups" : Applied to Open Clusters

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