Detection and analysis of cluster-cluster filaments

Autores
Pereyra, Luis Alberto; Sgró, Mario Agustín; Merchan, Manuel Enrique; Stasyszyn, Federico Andres; Paz, Dante Javier
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we identify and analyse the properties of cluster-cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter haloes with masses M ≥ 1014 h-1M. To extract these filaments we develop an identification algorithm based on two standard tools: the Minimal Spanning Tree and the friends-of-friends algorithm. Focusing our analysis on the densest dark matter filaments, we found that the radial density profile, at scales around 1h-1Mpc, approximately follow a power-law function with index -2. Without making any assumption about the velocity field, our algorithm finds that the saddle point arises as a natural characteristic of the filamentary structure. In addition, its location along the filament depends on the masses of the haloes at the filament ends. We also found that the infall velocities follow a cross-pattern near the saddle point, being perpendicular to the filament spine when approaching from low-density regions, and parallel away from the saddle point towards the ends of the filament. Following theoretical prescriptions, we estimate the linear density from the transverse velocity dispersion, finding a good correspondence with the measured mass per unit length of our filaments. Our results can be applied to observational samples of filaments in order to link the saddle point location and the mass per unit length with measurements obtained from observations such as cluster masses and the velocity dispersion of galaxies.
Fil: Pereyra, Luis Alberto. 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: Sgró, Mario Agustín. 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: Merchan, Manuel Enrique. 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: Stasyszyn, Federico Andres. 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: Paz, Dante Javier. 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
LARGE-SCALE STRUCTURE OF UNIVERSE
METHODS: NUMERICAL
METHODS: STATISTICAL
SOFTWARE: SIMULATIONS
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:11336/141208
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/141208
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network_name_str CONICET Digital (CONICET)
spelling Detection and analysis of cluster-cluster filamentsPereyra, Luis AlbertoSgró, Mario AgustínMerchan, Manuel EnriqueStasyszyn, Federico AndresPaz, Dante JavierLARGE-SCALE STRUCTURE OF UNIVERSEMETHODS: NUMERICALMETHODS: STATISTICALSOFTWARE: SIMULATIONShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In this work, we identify and analyse the properties of cluster-cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter haloes with masses M ≥ 1014 h-1M. To extract these filaments we develop an identification algorithm based on two standard tools: the Minimal Spanning Tree and the friends-of-friends algorithm. Focusing our analysis on the densest dark matter filaments, we found that the radial density profile, at scales around 1h-1Mpc, approximately follow a power-law function with index -2. Without making any assumption about the velocity field, our algorithm finds that the saddle point arises as a natural characteristic of the filamentary structure. In addition, its location along the filament depends on the masses of the haloes at the filament ends. We also found that the infall velocities follow a cross-pattern near the saddle point, being perpendicular to the filament spine when approaching from low-density regions, and parallel away from the saddle point towards the ends of the filament. Following theoretical prescriptions, we estimate the linear density from the transverse velocity dispersion, finding a good correspondence with the measured mass per unit length of our filaments. Our results can be applied to observational samples of filaments in order to link the saddle point location and the mass per unit length with measurements obtained from observations such as cluster masses and the velocity dispersion of galaxies.Fil: Pereyra, Luis Alberto. 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: Sgró, Mario Agustín. 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: Merchan, Manuel Enrique. 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: Stasyszyn, Federico Andres. 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: Paz, Dante Javier. 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; ArgentinaWiley Blackwell Publishing, Inc2020-12info: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/11336/141208Pereyra, Luis Alberto; Sgró, Mario Agustín; Merchan, Manuel Enrique; Stasyszyn, Federico Andres; Paz, Dante Javier; Detection and analysis of cluster-cluster filaments; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 499; 4; 12-2020; 4876-48860035-87111365-2966CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/advance-article-abstract/doi/10.1093/mnras/staa3112/5920622?redirectedFrom=fulltextinfo:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/staa3112info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1911.06768info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:14Zoai:ri.conicet.gov.ar:11336/141208instacron: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 09:39:14.232CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detection and analysis of cluster-cluster filaments
title Detection and analysis of cluster-cluster filaments
spellingShingle Detection and analysis of cluster-cluster filaments
Pereyra, Luis Alberto
LARGE-SCALE STRUCTURE OF UNIVERSE
METHODS: NUMERICAL
METHODS: STATISTICAL
SOFTWARE: SIMULATIONS
title_short Detection and analysis of cluster-cluster filaments
title_full Detection and analysis of cluster-cluster filaments
title_fullStr Detection and analysis of cluster-cluster filaments
title_full_unstemmed Detection and analysis of cluster-cluster filaments
title_sort Detection and analysis of cluster-cluster filaments
dc.creator.none.fl_str_mv Pereyra, Luis Alberto
Sgró, Mario Agustín
Merchan, Manuel Enrique
Stasyszyn, Federico Andres
Paz, Dante Javier
author Pereyra, Luis Alberto
author_facet Pereyra, Luis Alberto
Sgró, Mario Agustín
Merchan, Manuel Enrique
Stasyszyn, Federico Andres
Paz, Dante Javier
author_role author
author2 Sgró, Mario Agustín
Merchan, Manuel Enrique
Stasyszyn, Federico Andres
Paz, Dante Javier
author2_role author
author
author
author
dc.subject.none.fl_str_mv LARGE-SCALE STRUCTURE OF UNIVERSE
METHODS: NUMERICAL
METHODS: STATISTICAL
SOFTWARE: SIMULATIONS
topic LARGE-SCALE STRUCTURE OF UNIVERSE
METHODS: NUMERICAL
METHODS: STATISTICAL
SOFTWARE: SIMULATIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work, we identify and analyse the properties of cluster-cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter haloes with masses M ≥ 1014 h-1M. To extract these filaments we develop an identification algorithm based on two standard tools: the Minimal Spanning Tree and the friends-of-friends algorithm. Focusing our analysis on the densest dark matter filaments, we found that the radial density profile, at scales around 1h-1Mpc, approximately follow a power-law function with index -2. Without making any assumption about the velocity field, our algorithm finds that the saddle point arises as a natural characteristic of the filamentary structure. In addition, its location along the filament depends on the masses of the haloes at the filament ends. We also found that the infall velocities follow a cross-pattern near the saddle point, being perpendicular to the filament spine when approaching from low-density regions, and parallel away from the saddle point towards the ends of the filament. Following theoretical prescriptions, we estimate the linear density from the transverse velocity dispersion, finding a good correspondence with the measured mass per unit length of our filaments. Our results can be applied to observational samples of filaments in order to link the saddle point location and the mass per unit length with measurements obtained from observations such as cluster masses and the velocity dispersion of galaxies.
Fil: Pereyra, Luis Alberto. 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: Sgró, Mario Agustín. 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: Merchan, Manuel Enrique. 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: Stasyszyn, Federico Andres. 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: Paz, Dante Javier. 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 In this work, we identify and analyse the properties of cluster-cluster filaments within a cosmological simulation assuming that they are structures connecting maxima of the density field defined by dark matter haloes with masses M ≥ 1014 h-1M. To extract these filaments we develop an identification algorithm based on two standard tools: the Minimal Spanning Tree and the friends-of-friends algorithm. Focusing our analysis on the densest dark matter filaments, we found that the radial density profile, at scales around 1h-1Mpc, approximately follow a power-law function with index -2. Without making any assumption about the velocity field, our algorithm finds that the saddle point arises as a natural characteristic of the filamentary structure. In addition, its location along the filament depends on the masses of the haloes at the filament ends. We also found that the infall velocities follow a cross-pattern near the saddle point, being perpendicular to the filament spine when approaching from low-density regions, and parallel away from the saddle point towards the ends of the filament. Following theoretical prescriptions, we estimate the linear density from the transverse velocity dispersion, finding a good correspondence with the measured mass per unit length of our filaments. Our results can be applied to observational samples of filaments in order to link the saddle point location and the mass per unit length with measurements obtained from observations such as cluster masses and the velocity dispersion of galaxies.
publishDate 2020
dc.date.none.fl_str_mv 2020-12
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/11336/141208
Pereyra, Luis Alberto; Sgró, Mario Agustín; Merchan, Manuel Enrique; Stasyszyn, Federico Andres; Paz, Dante Javier; Detection and analysis of cluster-cluster filaments; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 499; 4; 12-2020; 4876-4886
0035-8711
1365-2966
CONICET Digital
CONICET
url http://hdl.handle.net/11336/141208
identifier_str_mv Pereyra, Luis Alberto; Sgró, Mario Agustín; Merchan, Manuel Enrique; Stasyszyn, Federico Andres; Paz, Dante Javier; Detection and analysis of cluster-cluster filaments; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 499; 4; 12-2020; 4876-4886
0035-8711
1365-2966
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://academic.oup.com/mnras/advance-article-abstract/doi/10.1093/mnras/staa3112/5920622?redirectedFrom=fulltext
info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/staa3112
info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1911.06768
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 Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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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