Generating a magellanic star cluster catalog with ASteCA

Autores
Perren, Gabriel Ignacio; Piatti, Andres Eduardo; Vázquez, R. A.
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An increasing number of software tools have been employed in the recent years for the automated or semi-automated processing of astronomical data. The main advantages of using these tools over a standard by-eye analysis include: speed (particularly for large databases), homogeneity, reproducibility, and precision. At the same time, they enable a statistically correct study of the uncertainties associated with the analysis, in contrast with manually set errors, or the still wide spread practice of simply not assigning errors. We present a catalog comprising 210 star clusters located in the Large and Small Magellanic Clouds, observed with Washington CT 1 photometry. Their fundamental parameters were estimated through an homogeneous,automatized and completely unassisted process, via the Automated Stellar Cluster Analysis package (ASteCA).Our results are compared with two types of studies on these clusters: one where the photometry is the same, andanother where the photometric system is different than that employed by ASteCA.
Fil: Perren, Gabriel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Piatti, Andres Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina
Fil: Vázquez, R. A.. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina
Materia
cluster
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/108675

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spelling Generating a magellanic star cluster catalog with ASteCAPerren, Gabriel IgnacioPiatti, Andres EduardoVázquez, R. A.clusterhttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1An increasing number of software tools have been employed in the recent years for the automated or semi-automated processing of astronomical data. The main advantages of using these tools over a standard by-eye analysis include: speed (particularly for large databases), homogeneity, reproducibility, and precision. At the same time, they enable a statistically correct study of the uncertainties associated with the analysis, in contrast with manually set errors, or the still wide spread practice of simply not assigning errors. We present a catalog comprising 210 star clusters located in the Large and Small Magellanic Clouds, observed with Washington CT 1 photometry. Their fundamental parameters were estimated through an homogeneous,automatized and completely unassisted process, via the Automated Stellar Cluster Analysis package (ASteCA).Our results are compared with two types of studies on these clusters: one where the photometry is the same, andanother where the photometric system is different than that employed by ASteCA.Fil: Perren, Gabriel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Piatti, Andres Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; ArgentinaFil: Vázquez, R. A.. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; ArgentinaAsociación Argentina de Astronomía2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/108675Perren, Gabriel Ignacio; Piatti, Andres Eduardo; Vázquez, R. A. ; Generating a magellanic star cluster catalog with ASteCA; Asociación Argentina de Astronomía; Boletín Asociación Argentina de Astronomía; 58; 11-2016; 15-170571-3285CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2016BAAA...58...15P/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:48Zoai:ri.conicet.gov.ar:11336/108675instacron: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 09:48:48.693CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Generating a magellanic star cluster catalog with ASteCA
title Generating a magellanic star cluster catalog with ASteCA
spellingShingle Generating a magellanic star cluster catalog with ASteCA
Perren, Gabriel Ignacio
cluster
title_short Generating a magellanic star cluster catalog with ASteCA
title_full Generating a magellanic star cluster catalog with ASteCA
title_fullStr Generating a magellanic star cluster catalog with ASteCA
title_full_unstemmed Generating a magellanic star cluster catalog with ASteCA
title_sort Generating a magellanic star cluster catalog with ASteCA
dc.creator.none.fl_str_mv Perren, Gabriel Ignacio
Piatti, Andres Eduardo
Vázquez, R. A.
author Perren, Gabriel Ignacio
author_facet Perren, Gabriel Ignacio
Piatti, Andres Eduardo
Vázquez, R. A.
author_role author
author2 Piatti, Andres Eduardo
Vázquez, R. A.
author2_role author
author
dc.subject.none.fl_str_mv cluster
topic cluster
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv An increasing number of software tools have been employed in the recent years for the automated or semi-automated processing of astronomical data. The main advantages of using these tools over a standard by-eye analysis include: speed (particularly for large databases), homogeneity, reproducibility, and precision. At the same time, they enable a statistically correct study of the uncertainties associated with the analysis, in contrast with manually set errors, or the still wide spread practice of simply not assigning errors. We present a catalog comprising 210 star clusters located in the Large and Small Magellanic Clouds, observed with Washington CT 1 photometry. Their fundamental parameters were estimated through an homogeneous,automatized and completely unassisted process, via the Automated Stellar Cluster Analysis package (ASteCA).Our results are compared with two types of studies on these clusters: one where the photometry is the same, andanother where the photometric system is different than that employed by ASteCA.
Fil: Perren, Gabriel Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Piatti, Andres Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina
Fil: Vázquez, R. A.. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina
description An increasing number of software tools have been employed in the recent years for the automated or semi-automated processing of astronomical data. The main advantages of using these tools over a standard by-eye analysis include: speed (particularly for large databases), homogeneity, reproducibility, and precision. At the same time, they enable a statistically correct study of the uncertainties associated with the analysis, in contrast with manually set errors, or the still wide spread practice of simply not assigning errors. We present a catalog comprising 210 star clusters located in the Large and Small Magellanic Clouds, observed with Washington CT 1 photometry. Their fundamental parameters were estimated through an homogeneous,automatized and completely unassisted process, via the Automated Stellar Cluster Analysis package (ASteCA).Our results are compared with two types of studies on these clusters: one where the photometry is the same, andanother where the photometric system is different than that employed by ASteCA.
publishDate 2016
dc.date.none.fl_str_mv 2016-11
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/11336/108675
Perren, Gabriel Ignacio; Piatti, Andres Eduardo; Vázquez, R. A. ; Generating a magellanic star cluster catalog with ASteCA; Asociación Argentina de Astronomía; Boletín Asociación Argentina de Astronomía; 58; 11-2016; 15-17
0571-3285
CONICET Digital
CONICET
url http://hdl.handle.net/11336/108675
identifier_str_mv Perren, Gabriel Ignacio; Piatti, Andres Eduardo; Vázquez, R. A. ; Generating a magellanic star cluster catalog with ASteCA; Asociación Argentina de Astronomía; Boletín Asociación Argentina de Astronomía; 58; 11-2016; 15-17
0571-3285
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2016BAAA...58...15P/abstract
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 Asociación Argentina de Astronomía
publisher.none.fl_str_mv Asociación Argentina de Astronomía
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
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