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相关论文: The mass of the Milky Way from satellite dynamics

200 篇论文

We estimate the Milky Way (MW) halo properties using satellite kinematic data including the latest measurements from Gaia DR2. With a simulation-based 6D phase-space distribution function (DF) of satellite kinematics, we can infer halo…

星系天体物理 · 物理学 2020-05-06 Zhao-Zhou Li , Yong-Zhong Qian , Jiaxin Han , Ting S. Li , Wenting Wang , Y. P. Jing

High precision proper motion (PM) measurements are available for approximately 20% of all known dwarf satellite galaxies of the Milky Way (MW). Here we extend the Bayesian framework of Patel et al. (2017b) to include all MW satellites with…

星系天体物理 · 物理学 2018-05-02 Ekta Patel , Gurtina Besla , Kaisey Mandel , Sangmo Tony Sohn

We present a new measurement of the mass of the Milky Way (MW) based on observed properties of its largest satellite galaxies, the Magellanic Clouds (MCs), and an assumed prior of a {\Lambda}CDM universe. The large, high-resolution Bolshoi…

星系天体物理 · 物理学 2015-05-20 Michael T. Busha , Philip J. Marshall , Risa H. Wechsler , Anatoly Klypin , Joel Primack

We show that the mass of a dark matter halo can be inferred from the dynamical status of its satellite galaxies. Using 9 dark-matter simulations of halos like the Milky Way (MW), we find that the present-day substructures in each halo…

星系天体物理 · 物理学 2017-12-06 Zhao-Zhou Li , Y. P. Jing , Yong-Zhong Qian , Zhen Yuan , Dong-Hai Zhao

We determine the Milky Way (MW) mass profile inferred from fitting physically motivated models to the Gaia DR2 Galactic rotation curve and other data. Using various hydrodynamical simulations of MW-mass haloes, we show that the presence of…

We analyse systems analogous to the Milky Way (MW) in the EAGLE cosmological hydrodynamics simulation in order to deduce the likely structure of the MW's dark matter halo. We identify MW-mass haloes in the simulation whose satellite…

星系天体物理 · 物理学 2021-01-06 Shi Shao , Marius Cautun , Alis J. Deason , Carlos S. Frenk

The properties of dwarf galaxies orbiting the Milky Way (MW) are useful for testing models of the formation of our Galaxy, and by extension various theories of cosmology. Recent efforts to measure the masses of the MW's satellite dwarf…

星系天体物理 · 物理学 2025-12-12 Thomas Donlon , Sukanya Chakrabarti , Jason A. S. Hunt

We use a distribution function analysis to estimate the mass of the Milky Way out to 100 kpc using a large sample of halo stars. These stars are compiled from the literature, and the vast majority (~98%) have 6D phase-space information. We…

We propose a versatile and accurate method to estimate the halo mass and concentration from the kinematics of satellite galaxies. We construct the 6D phase-space distribution function of satellites from a cosmological simulation based on…

星系天体物理 · 物理学 2019-12-02 Zhao-Zhou Li , Yong-Zhong Qian , Jiaxin Han , Wenting Wang , Y. P. Jing

We use data from the Gaia DR3 dataset to estimate the mass of the Milky Way (MW) by analyzing the rotation curve in the range of distances 5 kpc to 28 kpc. We consider three mass models: the first model adds a spherical dark matter (DM)…

Although numerous dynamical techniques have been developed to estimate the total dark matter halo mass of the Milky Way, it remains poorly constrained, with typical systematic uncertainties of 0.3 dex. In this study, we apply a neural…

星系天体物理 · 物理学 2025-10-03 Elaheh Hayati , Peter Behroozi , Ekta Patel , Yunchong Wang , Stefan Gottlöber , Gustavo Yepes

We use Gaia DR2 systemic proper motions of 45 satellite galaxies to constrain the mass of the Milky Way using the scale free mass estimator of Watkins et al. (2010). We first determine the anisotropy parameter $\beta$, and the tracer…

星系天体物理 · 物理学 2020-05-06 T. K. Fritz , A. Di Cintio , G. Battaglia , C. Brook , S. Taibi

As the Milky Way and its satellite system become more entrenched in near field cosmology efforts, the need for an accurate mass estimate of the Milky Way's dark matter halo is increasingly critical. With the second and early third data…

Theoretical studying of the very inner structure of faint satellite galaxy requires very high-resolution hydro-dynamical simulations with realistic models for star formation, which are beginning to emerge recently. In this work we present…

星系天体物理 · 物理学 2020-01-08 Xi Kang

The mass of the Milky Way is a critical quantity which, despite decades of research, remains uncertain within a factor of two. Until recently, most studies have used dynamical tracers in the inner regions of the halo, relying on…

We use the distribution of maximum circular velocities, $V_{max}$, of satellites in the Milky Way (MW) to constrain the virial mass, $M_{200}$, of the Galactic halo under an assumed prior of a $\Lambda$CDM universe. This is done by…

宇宙学与河外天体物理 · 物理学 2014-10-24 Marius Cautun , Carlos S. Frenk , Rien van de Weygaert , Wojciech A. Hellwing , Bernard J. T. Jones

We use a hybrid approach that combines high-resolution simulations of the formation of a Milky Way-like halo with a semi-analytic model of galaxy formation to study the mass content of dwarf galaxies in the concordance $\Lambda$CDM…

天体物理学 · 物理学 2009-06-16 Yang-Shyang Li , Amina Helmi , Gabriella De Lucia , Felix Stoehr

We use the \texttt{GRUMPY} galaxy formation model based on a suite of zoom-in, high-resolution, dissipationless $\Lambda$ Cold Dark Matter ($\Lambda$CDM) simulations of the Milky Way (MW) sized haloes to examine total matter density within…

星系天体物理 · 物理学 2023-08-02 Andrey Kravtsov , Zewei Wu

A simple model for the Milky Way halo is presented. It has a flat rotation curve in the inner regions, but the density falls off sharply beyond an outer edge. This truncated, flat rotation curve (TF) model possesses a rich family of simple…

天体物理学 · 物理学 2008-11-26 M. I. Wilkinson , N. W. Evans

The total number and luminosity function of the population of dwarf galaxies of the Milky Way (MW) provide important constraints on the nature of the dark matter and on the astrophysics of galaxy formation at low masses. However, only a…

星系天体物理 · 物理学 2018-07-18 Oliver Newton , Marius Cautun , Adrian Jenkins , Carlos S. Frenk , John Helly
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