A robust estimate of the Milky Way mass from rotation curve data
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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Repositório Institucional da UNESP |
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2946 |
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 |
|
_version_ |
1808129217539342336 |