The mass of the Milky Way out to 100 kpc using halo stars

Author:

Deason Alis J12ORCID,Erkal Denis3ORCID,Belokurov Vasily4ORCID,Fattahi Azadeh1ORCID,Gómez Facundo A56,Grand Robert J J7ORCID,Pakmor Rüdiger7ORCID,Xue Xiang-Xiang8,Liu Chao9ORCID,Yang Chengqun10,Zhang Lan8,Zhao Gang8

Affiliation:

1. Institute for Computational Cosmology, Department of Physics, University of Durham, South Road, Durham DH1 3LE, UK

2. Centre for Extragalactic Astronomy, Department of Physics, University of Durham, South Road, Durham DH1 3LE, UK

3. Department of Physics, University of Surrey, Guildford GU2 7XH, UK

4. Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, UK

5. Instituto de Investigación Multidisciplinar en Ciencia y Tecnología, Universidad de La Serena, Raúl Bitrán 1305, La Serena, Chile

6. Departamento de Astronomía, Universidad de La Serena, Av. Juan Cisternas 1200 Norte, La Serena, Chile

7. Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str 1, D-85748 Garching, Germany

8. CAS, Key Laboratory of Optical Astronomy, National Astronomical Observatories, Beijing 100101, China

9. Key Laboratory of Space Astronomy and Technology, National Astronomical Observatories, Beijing 100101, China

10. Shanghai Astronomical Observatory, 80 Nandan Road, Shanghai 200030, China

Abstract

ABSTRACT We use a distribution function analysis to estimate the mass of the Milky Way (MW) out to 100 kpc using a large sample of halo stars. These stars are compiled from the literature, and the vast majority (${\sim } 98{{\ \rm per\ cent}}$) have 6D phase-space information. We pay particular attention to systematic effects, such as the dynamical influence of the Large Magellanic Cloud (LMC), and the effect of unrelaxed substructure. The LMC biases the (pre-LMC infall) halo mass estimates towards higher values, while realistic stellar haloes from cosmological simulations tend to underestimate the true halo mass. After applying our method to the MW data, we find a mass within 100 kpc of M (<100 kpc) = 6.07 ± 0.29 (stat.) ± 1.21 (sys.) × 1011 M⊙. For this estimate, we have approximately corrected for the reflex motion induced by the LMC using the Erkal et al. model, which assumes a rigid potential for the LMC and MW. Furthermore, stars that likely belong to the Sagittarius stream are removed, and we include a 5 per cent systematic bias, and a 20 per cent systematic uncertainty based on our tests with cosmological simulations. Assuming the mass–concentration relation for Navarro–Frenk–White haloes, our mass estimate favours a total (pre-LMC infall) MW mass of M200c = 1.01 ± 0.24 × 1012 M⊙, or (post-LMC infall) mass of M200c = 1.16 ± 0.24 × 1012 M⊙ when a 1.5 × 1011 M⊙ mass of a rigid LMC is included.

Funder

Leverhulme Trust

Science and Technology Facilities Council

Comisión Nacional de Investigación Científica y Tecnológica

Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica

Max-Planck-Gesellschaft

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 58 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Galactic Archaeology with Gaia;New Astronomy Reviews;2024-12

2. Why does the Milky Way have a bar?;Monthly Notices of the Royal Astronomical Society;2024-08-07

3. DESI Early Data Release Milky Way Survey value-added catalogue;Monthly Notices of the Royal Astronomical Society;2024-07-30

4. The radial variation of the LMC-induced reflex motion of the Milky Way disc observed in the stellar halo;Monthly Notices of the Royal Astronomical Society;2024-05-30

5. Investigating the dark matter halo of NGC 5128 using a discrete dynamical model;Astronomy & Astrophysics;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3