A robust estimate of the Milky Way mass from rotation curve data

Detalhes bibliográficos
Autor(a) principal: Karukes, E. V. [UNESP]
Data de Publicação: 2020
Outros Autores: Benito, M. [UNESP], Iocco, F. [UNESP], Trotta, R., Geringer-Sameth, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1088/1475-7516/2020/05/033
http://hdl.handle.net/11449/200550
Resumo: We present a new estimate of the mass of the Milky Way, inferred via a Bayesian approach by making use of tracers of the circular velocity in the disk plane and stars in the stellar halo, as from the publicly available galkin compilation. We use the rotation curve method to determine the dark matter distribution and total mass under different assumptions for the dark matter profile, while the total stellar mass is constrained by surface stellar density and microlensing measurements. We also include uncertainties on the baryonic morphology via Bayesian model averaging, thus converting a potential source of systematic error into a more manageable statistical uncertainty. We evaluate the robustness of our result against various possible systematics, including rotation curve data selection, uncertainty on the Sun's velocity V0, dependence on the dark matter profile assumptions, and choice of priors. We find the Milky Way's dark matter virial mass to be log10M200 DM/ Mo˙ = 11.92+0.06 -0.05(stat)±0.28±0.27(syst) (M200 DM=8.3+1.2 -0.9(stat)×1011 Mo˙). We also apply our framework to Gaia DR2 rotation curve data and find good statistical agreement with the above results.
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spelling A robust estimate of the Milky Way mass from rotation curve datadark matter theorygalaxy dynamicsrotation curves of galaxiesWe present a new estimate of the mass of the Milky Way, inferred via a Bayesian approach by making use of tracers of the circular velocity in the disk plane and stars in the stellar halo, as from the publicly available galkin compilation. We use the rotation curve method to determine the dark matter distribution and total mass under different assumptions for the dark matter profile, while the total stellar mass is constrained by surface stellar density and microlensing measurements. We also include uncertainties on the baryonic morphology via Bayesian model averaging, thus converting a potential source of systematic error into a more manageable statistical uncertainty. We evaluate the robustness of our result against various possible systematics, including rotation curve data selection, uncertainty on the Sun's velocity V0, dependence on the dark matter profile assumptions, and choice of priors. We find the Milky Way's dark matter virial mass to be log10M200 DM/ Mo˙ = 11.92+0.06 -0.05(stat)±0.28±0.27(syst) (M200 DM=8.3+1.2 -0.9(stat)×1011 Mo˙). We also apply our framework to Gaia DR2 rotation curve data and find good statistical agreement with the above results.Astrocent Nicolaus Copernicus Astronomical Center Polish Academy of Sciences, ul. Bartycka 18ICTP-SAIFR IFT-UNESP, R. Dr. Bento Teobaldo Ferraz 271National Institute of Chemical Physics and Biophysics, Rävala 10Physics Department Astrophysics Group Imp. Centre for Inference and Cosmology Blackett Laboratory Imperial College London, Prince Consort RdUniversità di Napoli Federico II INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo, via CintiaData Science Institute William Penney Laboratory Imperial College LondonSISSA Data Science Excellence Department, Via Bonomea 265ICTP-SAIFR IFT-UNESP, R. Dr. Bento Teobaldo Ferraz 271Nicolaus Copernicus Astronomical Center Polish Academy of SciencesUniversidade Estadual Paulista (Unesp)National Institute of Chemical Physics and BiophysicsImperial College LondonComplesso Universitario di Monte S. AngeloData Science Excellence DepartmentKarukes, E. V. [UNESP]Benito, M. [UNESP]Iocco, F. [UNESP]Trotta, R.Geringer-Sameth, A.2020-12-12T02:09:35Z2020-12-12T02:09:35Z2020-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1088/1475-7516/2020/05/033Journal of Cosmology and Astroparticle Physics, v. 2020, n. 5, 2020.1475-7516http://hdl.handle.net/11449/20055010.1088/1475-7516/2020/05/0332-s2.0-85085772728Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Cosmology and Astroparticle Physicsinfo:eu-repo/semantics/openAccess2021-10-23T14:40:29Zoai:repositorio.unesp.br:11449/200550Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:32:43.737450Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A robust estimate of the Milky Way mass from rotation curve data
title A robust estimate of the Milky Way mass from rotation curve data
spellingShingle A robust estimate of the Milky Way mass from rotation curve data
Karukes, E. V. [UNESP]
dark matter theory
galaxy dynamics
rotation curves of galaxies
title_short A robust estimate of the Milky Way mass from rotation curve data
title_full A robust estimate of the Milky Way mass from rotation curve data
title_fullStr A robust estimate of the Milky Way mass from rotation curve data
title_full_unstemmed A robust estimate of the Milky Way mass from rotation curve data
title_sort A robust estimate of the Milky Way mass from rotation curve data
author Karukes, E. V. [UNESP]
author_facet Karukes, E. V. [UNESP]
Benito, M. [UNESP]
Iocco, F. [UNESP]
Trotta, R.
Geringer-Sameth, A.
author_role author
author2 Benito, M. [UNESP]
Iocco, F. [UNESP]
Trotta, R.
Geringer-Sameth, A.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Nicolaus Copernicus Astronomical Center Polish Academy of Sciences
Universidade Estadual Paulista (Unesp)
National Institute of Chemical Physics and Biophysics
Imperial College London
Complesso Universitario di Monte S. Angelo
Data Science Excellence Department
dc.contributor.author.fl_str_mv Karukes, E. V. [UNESP]
Benito, M. [UNESP]
Iocco, F. [UNESP]
Trotta, R.
Geringer-Sameth, A.
dc.subject.por.fl_str_mv dark matter theory
galaxy dynamics
rotation curves of galaxies
topic dark matter theory
galaxy dynamics
rotation curves of galaxies
description We present a new estimate of the mass of the Milky Way, inferred via a Bayesian approach by making use of tracers of the circular velocity in the disk plane and stars in the stellar halo, as from the publicly available galkin compilation. We use the rotation curve method to determine the dark matter distribution and total mass under different assumptions for the dark matter profile, while the total stellar mass is constrained by surface stellar density and microlensing measurements. We also include uncertainties on the baryonic morphology via Bayesian model averaging, thus converting a potential source of systematic error into a more manageable statistical uncertainty. We evaluate the robustness of our result against various possible systematics, including rotation curve data selection, uncertainty on the Sun's velocity V0, dependence on the dark matter profile assumptions, and choice of priors. We find the Milky Way's dark matter virial mass to be log10M200 DM/ Mo˙ = 11.92+0.06 -0.05(stat)±0.28±0.27(syst) (M200 DM=8.3+1.2 -0.9(stat)×1011 Mo˙). We also apply our framework to Gaia DR2 rotation curve data and find good statistical agreement with the above results.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:09:35Z
2020-12-12T02:09:35Z
2020-05-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1088/1475-7516/2020/05/033
Journal of Cosmology and Astroparticle Physics, v. 2020, n. 5, 2020.
1475-7516
http://hdl.handle.net/11449/200550
10.1088/1475-7516/2020/05/033
2-s2.0-85085772728
url http://dx.doi.org/10.1088/1475-7516/2020/05/033
http://hdl.handle.net/11449/200550
identifier_str_mv Journal of Cosmology and Astroparticle Physics, v. 2020, n. 5, 2020.
1475-7516
10.1088/1475-7516/2020/05/033
2-s2.0-85085772728
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Cosmology and Astroparticle Physics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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