Back to results
Bibliographic record · Consultation and access
Artículo

DS+: A method for the identification of cluster substructures

Benavides Blanco, Jose Antonio et al · EDP Sciences · 2023

Open-access full text
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Elegí el proveedor desde el que querés acceder.

CONICET Digital CONICET Digital OAI-PMH
Entrar por CONICET Digital
DOAJ DOAJ - Open Access Journals
Entrar por DOAJ
Main access

Open-access full text

Texto completo identificado como acceso abierto.
Open text
Otras opciones de acceso Elegí el proveedor disponible para esta ficha.
Importación CSV DOAJ - Open Access Journals
Acceder por Importación CSV
CONICET Digital OAI-PMH
Acceder por CONICET Digital OAI-PMH
DOAJ CSV Export DOAJ - Open Access Journals
Acceder por DOAJ CSV Export

Other available options

When the resource is available on more than one platform, you can choose where to open it.

Importación CSV DOAJ - Open Access Journals Access available
Open
CONICET Digital OAI-PMH Access available
Open
DOAJ CSV Export DOAJ - Open Access Journals Access available
Open

Summary

Descripción general del contenido del recurso.

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

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Benavides Blanco, J. A. E. A. (2023). DS+: A method for the identification of cluster substructures. http://hdl.handle.net/11336/225987

MLA

Benavides Blanco, Jose Antonio et al. "DS+: A method for the identification of cluster substructures." 2023. http://hdl.handle.net/11336/225987.

Chicago

Benavides Blanco, Jose Antonio et al. 2023. "DS+: A method for the identification of cluster substructures.". http://hdl.handle.net/11336/225987.

Harvard

Benavides Blanco, J. A. E. A. 2023, DS+: A method for the identification of cluster substructures, EDP Sciences, available at: http://hdl.handle.net/11336/225987 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
DS+: A method for the identification of cluster substructures
Author / contributors
Benavides Blanco, Jose Antonio et al
Publisher
EDP Sciences
Publication year
2023
ISSN
0004-6361
ISSN
0004-6361
Language
English

Subjects

Explore related resources through these subjects.

Copied