On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data

Autores
Carraro, Giovanni; Baume, Gustavo Luis; Seleznev, Anton F.; Costa, Edgardo
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Our knowledge of stellar evolution and of the structure and chemical evolution of the Galactic disk largely builds on the study of open star clusters. Because of their crucial role in these relevant topics, large homogeneous catalogues of open cluster parameters are highly desirable. Although efforts have been made to develop automatic tools to analyse large numbers of clusters, the results obtained so far vary from study to study, and sometimes are very contradictory when compared to dedicated studies of individual clusters. In this work we highlight the common causes of these discrepancies for some open clusters, and show that at present dedicated studies yield a much better assessment of the nature of star clusters, even in the absence of ideal data-sets. We make use of deep, wide-field, multi-colour photometry to discuss the nature of six strategically selected open star clusters: Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10 and Pismis 14. We have precisely derived their basic parameters by means of a combination of star counts and photometric diagrams. Trumpler 22 and Lynga 6 are included in our study because they are widely known, and thus provided a check of our data and methodology. The remaining four clusters are very poorly known, and their available parameters have been obtained using automatic tools only. Our results are in some cases in severe disagreement with those from automatic surveys.
Fil: Carraro, Giovanni. Università di Padova; Italia
Fil: Baume, Gustavo Luis. 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: Seleznev, Anton F.. Ural Federal University; Rusia
Fil: Costa, Edgardo. Universidad de Chile; Chile
Materia
Open Clusters: General
Open Clusters: Individual (Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10, Pismis 14)
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:11336/39892
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On the assessment of the nature of open star clusters and the determination of their basic parameters with limited dataCarraro, GiovanniBaume, Gustavo LuisSeleznev, Anton F.Costa, EdgardoOpen Clusters: GeneralOpen Clusters: Individual (Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10, Pismis 14)https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Our knowledge of stellar evolution and of the structure and chemical evolution of the Galactic disk largely builds on the study of open star clusters. Because of their crucial role in these relevant topics, large homogeneous catalogues of open cluster parameters are highly desirable. Although efforts have been made to develop automatic tools to analyse large numbers of clusters, the results obtained so far vary from study to study, and sometimes are very contradictory when compared to dedicated studies of individual clusters. In this work we highlight the common causes of these discrepancies for some open clusters, and show that at present dedicated studies yield a much better assessment of the nature of star clusters, even in the absence of ideal data-sets. We make use of deep, wide-field, multi-colour photometry to discuss the nature of six strategically selected open star clusters: Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10 and Pismis 14. We have precisely derived their basic parameters by means of a combination of star counts and photometric diagrams. Trumpler 22 and Lynga 6 are included in our study because they are widely known, and thus provided a check of our data and methodology. The remaining four clusters are very poorly known, and their available parameters have been obtained using automatic tools only. Our results are in some cases in severe disagreement with those from automatic surveys.Fil: Carraro, Giovanni. Università di Padova; ItaliaFil: Baume, Gustavo Luis. 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: Seleznev, Anton F.. Ural Federal University; RusiaFil: Costa, Edgardo. Universidad de Chile; ChileSpringer2017-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/39892Carraro, Giovanni; Baume, Gustavo Luis; Seleznev, Anton F.; Costa, Edgardo; On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data; Springer; Astrophysics And Space Science; 362; 7; 7-20170004-640XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s10509-017-3110-3info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs10509-017-3110-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:30Zoai:ri.conicet.gov.ar:11336/39892instacron: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 09:36:31.087CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
title On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
spellingShingle On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
Carraro, Giovanni
Open Clusters: General
Open Clusters: Individual (Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10, Pismis 14)
title_short On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
title_full On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
title_fullStr On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
title_full_unstemmed On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
title_sort On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data
dc.creator.none.fl_str_mv Carraro, Giovanni
Baume, Gustavo Luis
Seleznev, Anton F.
Costa, Edgardo
author Carraro, Giovanni
author_facet Carraro, Giovanni
Baume, Gustavo Luis
Seleznev, Anton F.
Costa, Edgardo
author_role author
author2 Baume, Gustavo Luis
Seleznev, Anton F.
Costa, Edgardo
author2_role author
author
author
dc.subject.none.fl_str_mv Open Clusters: General
Open Clusters: Individual (Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10, Pismis 14)
topic Open Clusters: General
Open Clusters: Individual (Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10, Pismis 14)
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Our knowledge of stellar evolution and of the structure and chemical evolution of the Galactic disk largely builds on the study of open star clusters. Because of their crucial role in these relevant topics, large homogeneous catalogues of open cluster parameters are highly desirable. Although efforts have been made to develop automatic tools to analyse large numbers of clusters, the results obtained so far vary from study to study, and sometimes are very contradictory when compared to dedicated studies of individual clusters. In this work we highlight the common causes of these discrepancies for some open clusters, and show that at present dedicated studies yield a much better assessment of the nature of star clusters, even in the absence of ideal data-sets. We make use of deep, wide-field, multi-colour photometry to discuss the nature of six strategically selected open star clusters: Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10 and Pismis 14. We have precisely derived their basic parameters by means of a combination of star counts and photometric diagrams. Trumpler 22 and Lynga 6 are included in our study because they are widely known, and thus provided a check of our data and methodology. The remaining four clusters are very poorly known, and their available parameters have been obtained using automatic tools only. Our results are in some cases in severe disagreement with those from automatic surveys.
Fil: Carraro, Giovanni. Università di Padova; Italia
Fil: Baume, Gustavo Luis. 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: Seleznev, Anton F.. Ural Federal University; Rusia
Fil: Costa, Edgardo. Universidad de Chile; Chile
description Our knowledge of stellar evolution and of the structure and chemical evolution of the Galactic disk largely builds on the study of open star clusters. Because of their crucial role in these relevant topics, large homogeneous catalogues of open cluster parameters are highly desirable. Although efforts have been made to develop automatic tools to analyse large numbers of clusters, the results obtained so far vary from study to study, and sometimes are very contradictory when compared to dedicated studies of individual clusters. In this work we highlight the common causes of these discrepancies for some open clusters, and show that at present dedicated studies yield a much better assessment of the nature of star clusters, even in the absence of ideal data-sets. We make use of deep, wide-field, multi-colour photometry to discuss the nature of six strategically selected open star clusters: Trumpler 22, Lynga 6, Hogg 19, Hogg 21, Pismis 10 and Pismis 14. We have precisely derived their basic parameters by means of a combination of star counts and photometric diagrams. Trumpler 22 and Lynga 6 are included in our study because they are widely known, and thus provided a check of our data and methodology. The remaining four clusters are very poorly known, and their available parameters have been obtained using automatic tools only. Our results are in some cases in severe disagreement with those from automatic surveys.
publishDate 2017
dc.date.none.fl_str_mv 2017-07
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/11336/39892
Carraro, Giovanni; Baume, Gustavo Luis; Seleznev, Anton F.; Costa, Edgardo; On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data; Springer; Astrophysics And Space Science; 362; 7; 7-2017
0004-640X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/39892
identifier_str_mv Carraro, Giovanni; Baume, Gustavo Luis; Seleznev, Anton F.; Costa, Edgardo; On the assessment of the nature of open star clusters and the determination of their basic parameters with limited data; Springer; Astrophysics And Space Science; 362; 7; 7-2017
0004-640X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s10509-017-3110-3
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs10509-017-3110-3
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 Springer
publisher.none.fl_str_mv Springer
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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score 13.070432

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