Anisotropic halo model
- Autores
- Sgró, Mario A.; Paz, Dante; Merchán, Manuel
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In the present work, we extend the classic halo model for the large-scale matter distribution including a triaxial model for the halo profiles and their alignments. In particular, we derive general expressions for the halo-matter cross correlation function. In addition, by numerical integration, we obtain instances of the cross-correlation function depending on the directions given by halo shape axes. These functions are called anisotropic cross-correlations. With the aim of comparing our theoretical results with the simulations, we compute averaged anisotropic correlations in cones with their symmetry axis along each shape direction of the centre halo. From these comparisons we characterise and quantify the alignment of dark matter haloes on the ΛCDM context by means of the presented anisotropic halo model. As our model requires multidimensional integral computation we implement a Monte Carlo method on GPU hardware which allows us to increase the precision of the results whereas it improves the performance of the computation.
publishedVersion - Materia
-
Grupos de galaxias
Materia oscura
Estructura en gran escala
Galaxies: groups: general
Dark matter
Large-scale structure of universe - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Repositorio
- Institución
- Universidad Nacional de Córdoba
- OAI Identificador
- oai:rdu.unc.edu.ar:11086/1656
Ver los metadatos del registro completo
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repository_id_str |
2572 |
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Repositorio Digital Universitario (UNC) |
spelling |
Anisotropic halo modelSgró, Mario A.Paz, DanteMerchán, ManuelGrupos de galaxiasMateria oscuraEstructura en gran escalaGalaxies: groups: generalDark matterLarge-scale structure of universeIn the present work, we extend the classic halo model for the large-scale matter distribution including a triaxial model for the halo profiles and their alignments. In particular, we derive general expressions for the halo-matter cross correlation function. In addition, by numerical integration, we obtain instances of the cross-correlation function depending on the directions given by halo shape axes. These functions are called anisotropic cross-correlations. With the aim of comparing our theoretical results with the simulations, we compute averaged anisotropic correlations in cones with their symmetry axis along each shape direction of the centre halo. From these comparisons we characterise and quantify the alignment of dark matter haloes on the ΛCDM context by means of the presented anisotropic halo model. As our model requires multidimensional integral computation we implement a Monte Carlo method on GPU hardware which allows us to increase the precision of the results whereas it improves the performance of the computation.publishedVersion2013-07-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfMonthly Notices of the Royal Astronomical Society (July 21, 2013) 433 (1): 787-795.http://dx.doi.org/10.1093/mnras/stt773http://hdl.handle.net/11086/1656enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:42:27Zoai:rdu.unc.edu.ar:11086/1656Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:42:28.11Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse |
dc.title.none.fl_str_mv |
Anisotropic halo model |
title |
Anisotropic halo model |
spellingShingle |
Anisotropic halo model Sgró, Mario A. Grupos de galaxias Materia oscura Estructura en gran escala Galaxies: groups: general Dark matter Large-scale structure of universe |
title_short |
Anisotropic halo model |
title_full |
Anisotropic halo model |
title_fullStr |
Anisotropic halo model |
title_full_unstemmed |
Anisotropic halo model |
title_sort |
Anisotropic halo model |
dc.creator.none.fl_str_mv |
Sgró, Mario A. Paz, Dante Merchán, Manuel |
author |
Sgró, Mario A. |
author_facet |
Sgró, Mario A. Paz, Dante Merchán, Manuel |
author_role |
author |
author2 |
Paz, Dante Merchán, Manuel |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Grupos de galaxias Materia oscura Estructura en gran escala Galaxies: groups: general Dark matter Large-scale structure of universe |
topic |
Grupos de galaxias Materia oscura Estructura en gran escala Galaxies: groups: general Dark matter Large-scale structure of universe |
dc.description.none.fl_txt_mv |
In the present work, we extend the classic halo model for the large-scale matter distribution including a triaxial model for the halo profiles and their alignments. In particular, we derive general expressions for the halo-matter cross correlation function. In addition, by numerical integration, we obtain instances of the cross-correlation function depending on the directions given by halo shape axes. These functions are called anisotropic cross-correlations. With the aim of comparing our theoretical results with the simulations, we compute averaged anisotropic correlations in cones with their symmetry axis along each shape direction of the centre halo. From these comparisons we characterise and quantify the alignment of dark matter haloes on the ΛCDM context by means of the presented anisotropic halo model. As our model requires multidimensional integral computation we implement a Monte Carlo method on GPU hardware which allows us to increase the precision of the results whereas it improves the performance of the computation. publishedVersion |
description |
In the present work, we extend the classic halo model for the large-scale matter distribution including a triaxial model for the halo profiles and their alignments. In particular, we derive general expressions for the halo-matter cross correlation function. In addition, by numerical integration, we obtain instances of the cross-correlation function depending on the directions given by halo shape axes. These functions are called anisotropic cross-correlations. With the aim of comparing our theoretical results with the simulations, we compute averaged anisotropic correlations in cones with their symmetry axis along each shape direction of the centre halo. From these comparisons we characterise and quantify the alignment of dark matter haloes on the ΛCDM context by means of the presented anisotropic halo model. As our model requires multidimensional integral computation we implement a Monte Carlo method on GPU hardware which allows us to increase the precision of the results whereas it improves the performance of the computation. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-07-21 |
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 |
Monthly Notices of the Royal Astronomical Society (July 21, 2013) 433 (1): 787-795. http://dx.doi.org/10.1093/mnras/stt773 http://hdl.handle.net/11086/1656 |
identifier_str_mv |
Monthly Notices of the Royal Astronomical Society (July 21, 2013) 433 (1): 787-795. |
url |
http://dx.doi.org/10.1093/mnras/stt773 http://hdl.handle.net/11086/1656 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositorio Digital Universitario (UNC) instname:Universidad Nacional de Córdoba instacron:UNC |
reponame_str |
Repositorio Digital Universitario (UNC) |
collection |
Repositorio Digital Universitario (UNC) |
instname_str |
Universidad Nacional de Córdoba |
instacron_str |
UNC |
institution |
UNC |
repository.name.fl_str_mv |
Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba |
repository.mail.fl_str_mv |
oca.unc@gmail.com |
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1844618927914614784 |
score |
13.070432 |