Low-metallicity stellar halo populations as tracers of dark matter haloes

Autores
Tissera, Patricia Beatriz; Scannapieco, Cecilia
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We analyse the density profiles of the stellar halo populations in eight Milky Way mass galaxies, simulated within the Λcold dark matter scenario. We find that accreted stars can be well fitted by an Einasto profile, as well as any subsample defined according to metallicity. We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter (DM) haloes. The correlations for stars with [Fe/H] < −3 allow us to predict the shape of the dark matter profiles within residuals of ∼10 per cent, in case the contribution from in situ stars remains small. Using Einasto parameters estimated for the stellar halo of the Milky Way and assuming the later formed with significant contributions from accreted low-mass satellite, our simulations predict α ∼ 0.15 and r2 ∼ 15 kpc for its dark matter profile. These values, combined with observed estimations of the local DM density, yield an enclosed DM mass at ∼8 kpc in the range 3.9–6.7 × 1010 M⊙, in agreement with recent observational results. These findings suggest that low-metallicity stellar haloes could store relevant information on the DM haloes. Forthcoming observations would help us to further constrain our models and predictions.
Fil: Tissera, Patricia Beatriz. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina. Millenium Institute of Astrophysics; Chile
Fil: Scannapieco, Cecilia. Millenium Institute of Astrophysics; Chile. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Materia
Galaxy structure
Galaxies evolution
Galaxies formation
Galaxies haloes
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:11336/17338
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Low-metallicity stellar halo populations as tracers of dark matter haloesTissera, Patricia BeatrizScannapieco, CeciliaGalaxy structureGalaxies evolutionGalaxies formationGalaxies haloeshttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1We analyse the density profiles of the stellar halo populations in eight Milky Way mass galaxies, simulated within the Λcold dark matter scenario. We find that accreted stars can be well fitted by an Einasto profile, as well as any subsample defined according to metallicity. We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter (DM) haloes. The correlations for stars with [Fe/H] < −3 allow us to predict the shape of the dark matter profiles within residuals of ∼10 per cent, in case the contribution from in situ stars remains small. Using Einasto parameters estimated for the stellar halo of the Milky Way and assuming the later formed with significant contributions from accreted low-mass satellite, our simulations predict α ∼ 0.15 and r2 ∼ 15 kpc for its dark matter profile. These values, combined with observed estimations of the local DM density, yield an enclosed DM mass at ∼8 kpc in the range 3.9–6.7 × 1010 M⊙, in agreement with recent observational results. These findings suggest that low-metallicity stellar haloes could store relevant information on the DM haloes. Forthcoming observations would help us to further constrain our models and predictions.Fil: Tissera, Patricia Beatriz. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina. Millenium Institute of Astrophysics; ChileFil: Scannapieco, Cecilia. Millenium Institute of Astrophysics; Chile. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaOxford University Press2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17338Tissera, Patricia Beatriz; Scannapieco, Cecilia; Low-metallicity stellar halo populations as tracers of dark matter haloes; Oxford University Press; Monthly Notices Of The Royal Astronomical Society; 445; 1; 11-2014; L21-L250035-8711enginfo:eu-repo/semantics/altIdentifier/doi/10.1093/mnrasl/slu114info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/1407.5800info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnrasl/article-abstract/445/1/L21/1130781/Low-metallicity-stellar-halo-populations-as?redirectedFrom=fulltextinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:12:54Zoai:ri.conicet.gov.ar:11336/17338instacron: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 10:12:55.124CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Low-metallicity stellar halo populations as tracers of dark matter haloes
title Low-metallicity stellar halo populations as tracers of dark matter haloes
spellingShingle Low-metallicity stellar halo populations as tracers of dark matter haloes
Tissera, Patricia Beatriz
Galaxy structure
Galaxies evolution
Galaxies formation
Galaxies haloes
title_short Low-metallicity stellar halo populations as tracers of dark matter haloes
title_full Low-metallicity stellar halo populations as tracers of dark matter haloes
title_fullStr Low-metallicity stellar halo populations as tracers of dark matter haloes
title_full_unstemmed Low-metallicity stellar halo populations as tracers of dark matter haloes
title_sort Low-metallicity stellar halo populations as tracers of dark matter haloes
dc.creator.none.fl_str_mv Tissera, Patricia Beatriz
Scannapieco, Cecilia
author Tissera, Patricia Beatriz
author_facet Tissera, Patricia Beatriz
Scannapieco, Cecilia
author_role author
author2 Scannapieco, Cecilia
author2_role author
dc.subject.none.fl_str_mv Galaxy structure
Galaxies evolution
Galaxies formation
Galaxies haloes
topic Galaxy structure
Galaxies evolution
Galaxies formation
Galaxies haloes
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We analyse the density profiles of the stellar halo populations in eight Milky Way mass galaxies, simulated within the Λcold dark matter scenario. We find that accreted stars can be well fitted by an Einasto profile, as well as any subsample defined according to metallicity. We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter (DM) haloes. The correlations for stars with [Fe/H] < −3 allow us to predict the shape of the dark matter profiles within residuals of ∼10 per cent, in case the contribution from in situ stars remains small. Using Einasto parameters estimated for the stellar halo of the Milky Way and assuming the later formed with significant contributions from accreted low-mass satellite, our simulations predict α ∼ 0.15 and r2 ∼ 15 kpc for its dark matter profile. These values, combined with observed estimations of the local DM density, yield an enclosed DM mass at ∼8 kpc in the range 3.9–6.7 × 1010 M⊙, in agreement with recent observational results. These findings suggest that low-metallicity stellar haloes could store relevant information on the DM haloes. Forthcoming observations would help us to further constrain our models and predictions.
Fil: Tissera, Patricia Beatriz. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina. Millenium Institute of Astrophysics; Chile
Fil: Scannapieco, Cecilia. Millenium Institute of Astrophysics; Chile. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
description We analyse the density profiles of the stellar halo populations in eight Milky Way mass galaxies, simulated within the Λcold dark matter scenario. We find that accreted stars can be well fitted by an Einasto profile, as well as any subsample defined according to metallicity. We detect a clear correlation between the Einasto fitting parameters of the low-metallicity stellar populations and those of the dark matter (DM) haloes. The correlations for stars with [Fe/H] < −3 allow us to predict the shape of the dark matter profiles within residuals of ∼10 per cent, in case the contribution from in situ stars remains small. Using Einasto parameters estimated for the stellar halo of the Milky Way and assuming the later formed with significant contributions from accreted low-mass satellite, our simulations predict α ∼ 0.15 and r2 ∼ 15 kpc for its dark matter profile. These values, combined with observed estimations of the local DM density, yield an enclosed DM mass at ∼8 kpc in the range 3.9–6.7 × 1010 M⊙, in agreement with recent observational results. These findings suggest that low-metallicity stellar haloes could store relevant information on the DM haloes. Forthcoming observations would help us to further constrain our models and predictions.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
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/11336/17338
Tissera, Patricia Beatriz; Scannapieco, Cecilia; Low-metallicity stellar halo populations as tracers of dark matter haloes; Oxford University Press; Monthly Notices Of The Royal Astronomical Society; 445; 1; 11-2014; L21-L25
0035-8711
url http://hdl.handle.net/11336/17338
identifier_str_mv Tissera, Patricia Beatriz; Scannapieco, Cecilia; Low-metallicity stellar halo populations as tracers of dark matter haloes; Oxford University Press; Monthly Notices Of The Royal Astronomical Society; 445; 1; 11-2014; L21-L25
0035-8711
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1093/mnrasl/slu114
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/1407.5800
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnrasl/article-abstract/445/1/L21/1130781/Low-metallicity-stellar-halo-populations-as?redirectedFrom=fulltext
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 Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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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