DS+: A method for the identification of cluster substructures

Autores
Benavides Blanco, Jose Antonio; Biviano, Andrea; Abadi, Mario Gabriel
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Context. The study of cluster substructures is important for the determination of the cluster dynamical status, assembly history, and the evolution of cluster galaxies, and it allows us to set constraints on the nature of dark matter and cosmological parameters. Aims. We present and test DS+, a new method for the identification and characterization of group-sized substructures in clusters. Methods. Our new method is based on the projected positions and line-of-sight (l.o.s. hereafter) velocities of cluster galaxies, and it is an improvement and extension of the traditional method of Dressler & Shectman (1988, AJ, 95, 985). We tested it on cluster-size cosmological halos extracted from the IllustrisTNG simulations, with virial masses 14 ≲ log(M200/M· ) ≲ 14.6 that contain ∼190 galaxies on average. We also present an application of our method on a real data set, the Bullet cluster. Results. DS+ is able to identify ∼80% of real group galaxies as members of substructures, and at least 60% of the galaxies assigned to substructures belong to real groups. The physical properties of the real groups are significantly correlated with those of the corresponding detected substructures, but with significant scatter, and they are overestimated on average. Application of the DS+ method to the Bullet cluster confirms the presence and main properties of the high-speed collision and identifies other substructures along the main cluster axis. Conclusions. DS+ proves to be a reliable method for the identification of substructures in clusters. The method is made freely available to the community as a Python code.
Fil: Benavides Blanco, Jose Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Biviano, Andrea. Università degli Studi di Trieste; Italia
Fil: Abadi, Mario Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Materia
GALAXIES: CLUSTERS: GENERAL
GALAXIES: GROUPS: GENERAL
GALAXIES: KINEMATICS AND DYNAMICS
GALAXY: ABUNDANCES
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:11336/225987
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling DS+: A method for the identification of cluster substructuresBenavides Blanco, Jose AntonioBiviano, AndreaAbadi, Mario GabrielGALAXIES: CLUSTERS: GENERALGALAXIES: GROUPS: GENERALGALAXIES: KINEMATICS AND DYNAMICSGALAXY: ABUNDANCEShttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1Context. The study of cluster substructures is important for the determination of the cluster dynamical status, assembly history, and the evolution of cluster galaxies, and it allows us to set constraints on the nature of dark matter and cosmological parameters. Aims. We present and test DS+, a new method for the identification and characterization of group-sized substructures in clusters. Methods. Our new method is based on the projected positions and line-of-sight (l.o.s. hereafter) velocities of cluster galaxies, and it is an improvement and extension of the traditional method of Dressler & Shectman (1988, AJ, 95, 985). We tested it on cluster-size cosmological halos extracted from the IllustrisTNG simulations, with virial masses 14 ≲ log(M200/M· ) ≲ 14.6 that contain ∼190 galaxies on average. We also present an application of our method on a real data set, the Bullet cluster. Results. DS+ is able to identify ∼80% of real group galaxies as members of substructures, and at least 60% of the galaxies assigned to substructures belong to real groups. The physical properties of the real groups are significantly correlated with those of the corresponding detected substructures, but with significant scatter, and they are overestimated on average. Application of the DS+ method to the Bullet cluster confirms the presence and main properties of the high-speed collision and identifies other substructures along the main cluster axis. Conclusions. DS+ proves to be a reliable method for the identification of substructures in clusters. The method is made freely available to the community as a Python code.Fil: Benavides Blanco, Jose Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Biviano, Andrea. Università degli Studi di Trieste; ItaliaFil: Abadi, Mario Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaEDP Sciences2023-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/225987Benavides Blanco, Jose Antonio; Biviano, Andrea; Abadi, Mario Gabriel; DS+: A method for the identification of cluster substructures; EDP Sciences; Astronomy and Astrophysics; 669; 1-2023; 1-130004-6361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202245422info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:01Zoai:ri.conicet.gov.ar:11336/225987instacron: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 09:33:01.927CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv DS+: A method for the identification of cluster substructures
title DS+: A method for the identification of cluster substructures
spellingShingle DS+: A method for the identification of cluster substructures
Benavides Blanco, Jose Antonio
GALAXIES: CLUSTERS: GENERAL
GALAXIES: GROUPS: GENERAL
GALAXIES: KINEMATICS AND DYNAMICS
GALAXY: ABUNDANCES
title_short DS+: A method for the identification of cluster substructures
title_full DS+: A method for the identification of cluster substructures
title_fullStr DS+: A method for the identification of cluster substructures
title_full_unstemmed DS+: A method for the identification of cluster substructures
title_sort DS+: A method for the identification of cluster substructures
dc.creator.none.fl_str_mv Benavides Blanco, Jose Antonio
Biviano, Andrea
Abadi, Mario Gabriel
author Benavides Blanco, Jose Antonio
author_facet Benavides Blanco, Jose Antonio
Biviano, Andrea
Abadi, Mario Gabriel
author_role author
author2 Biviano, Andrea
Abadi, Mario Gabriel
author2_role author
author
dc.subject.none.fl_str_mv GALAXIES: CLUSTERS: GENERAL
GALAXIES: GROUPS: GENERAL
GALAXIES: KINEMATICS AND DYNAMICS
GALAXY: ABUNDANCES
topic GALAXIES: CLUSTERS: GENERAL
GALAXIES: GROUPS: GENERAL
GALAXIES: KINEMATICS AND DYNAMICS
GALAXY: ABUNDANCES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Context. The study of cluster substructures is important for the determination of the cluster dynamical status, assembly history, and the evolution of cluster galaxies, and it allows us to set constraints on the nature of dark matter and cosmological parameters. Aims. We present and test DS+, a new method for the identification and characterization of group-sized substructures in clusters. Methods. Our new method is based on the projected positions and line-of-sight (l.o.s. hereafter) velocities of cluster galaxies, and it is an improvement and extension of the traditional method of Dressler & Shectman (1988, AJ, 95, 985). We tested it on cluster-size cosmological halos extracted from the IllustrisTNG simulations, with virial masses 14 ≲ log(M200/M· ) ≲ 14.6 that contain ∼190 galaxies on average. We also present an application of our method on a real data set, the Bullet cluster. Results. DS+ is able to identify ∼80% of real group galaxies as members of substructures, and at least 60% of the galaxies assigned to substructures belong to real groups. The physical properties of the real groups are significantly correlated with those of the corresponding detected substructures, but with significant scatter, and they are overestimated on average. Application of the DS+ method to the Bullet cluster confirms the presence and main properties of the high-speed collision and identifies other substructures along the main cluster axis. Conclusions. DS+ proves to be a reliable method for the identification of substructures in clusters. The method is made freely available to the community as a Python code.
Fil: Benavides Blanco, Jose Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Biviano, Andrea. Università degli Studi di Trieste; Italia
Fil: Abadi, Mario Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
description Context. The study of cluster substructures is important for the determination of the cluster dynamical status, assembly history, and the evolution of cluster galaxies, and it allows us to set constraints on the nature of dark matter and cosmological parameters. Aims. We present and test DS+, a new method for the identification and characterization of group-sized substructures in clusters. Methods. Our new method is based on the projected positions and line-of-sight (l.o.s. hereafter) velocities of cluster galaxies, and it is an improvement and extension of the traditional method of Dressler & Shectman (1988, AJ, 95, 985). We tested it on cluster-size cosmological halos extracted from the IllustrisTNG simulations, with virial masses 14 ≲ log(M200/M· ) ≲ 14.6 that contain ∼190 galaxies on average. We also present an application of our method on a real data set, the Bullet cluster. Results. DS+ is able to identify ∼80% of real group galaxies as members of substructures, and at least 60% of the galaxies assigned to substructures belong to real groups. The physical properties of the real groups are significantly correlated with those of the corresponding detected substructures, but with significant scatter, and they are overestimated on average. Application of the DS+ method to the Bullet cluster confirms the presence and main properties of the high-speed collision and identifies other substructures along the main cluster axis. Conclusions. DS+ proves to be a reliable method for the identification of substructures in clusters. The method is made freely available to the community as a Python code.
publishDate 2023
dc.date.none.fl_str_mv 2023-01
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/11336/225987
Benavides Blanco, Jose Antonio; Biviano, Andrea; Abadi, Mario Gabriel; DS+: A method for the identification of cluster substructures; EDP Sciences; Astronomy and Astrophysics; 669; 1-2023; 1-13
0004-6361
CONICET Digital
CONICET
url http://hdl.handle.net/11336/225987
identifier_str_mv Benavides Blanco, Jose Antonio; Biviano, Andrea; Abadi, Mario Gabriel; DS+: A method for the identification of cluster substructures; EDP Sciences; Astronomy and Astrophysics; 669; 1-2023; 1-13
0004-6361
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202245422
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
application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
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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