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We apply the vertical Jeans equation to the kinematics of Milky Way stars in the solar neighbourhood to measure the local dark matter density. More than 90,000 G- and K-type dwarf stars are selected from the cross-matched sample of LAMOST…

星系天体物理 · 物理学 2020-06-10 Rui Guo , Chao Liu , Shude Mao , Xiang-Xiang Xue , R. J. Long , Lan Zhang

Stellar streams provide one of the most promising avenues for constraining the global mass distribution of the Milky Way and the nature of dark matter (DM). The stream stars' kinematic "track" enables inference of large-scale properties of…

星系天体物理 · 物理学 2025-10-02 Kiyan Tavangar , Adrian M. Price-Whelan

The Gaia space astrometry mission is measuring accurate distances and space motions of more than two billion stars throughout our Galaxy and beyond. This is a first look at how Gaia is contributing to fundamental physics, and in particular…

星系天体物理 · 物理学 2021-06-30 Michael Perryman , Konstantin Zioutas

Matter distribution models of the Milky Way galaxy are usually stationary, although there are known to be wave-like perturbations in the disc at $\sim10\%$ level of the total density. Modelling of the overall acceleration field by allowing…

星系天体物理 · 物理学 2021-08-18 Rain Kipper , Peeter Tenjes , Elmo Tempel , Roberto de Propris

The gravitational pull of an unseen companion to a luminous star is well-known to cause deviations to the parallax and proper motion of a star. In a previous paper in this series, we argue that the astrometric mission Gaia can identify…

高能天体物理现象 · 物理学 2023-03-01 Jeff J. Andrews

In the last decade the detection of individual massive dark matter sub-halos has been possible using potential correction formalism in strong gravitational lens imaging. Here we propose a statistical formalism to relate strong gravitational…

宇宙学与河外天体物理 · 物理学 2017-10-17 Saikat Chatterjee , Léon V. E. Koopmans

I provide a model rotation curve for the Milky Way that matches the details of the terminal velocity curve normalized to the Galactocentric distance $R_0 = 8.122$ kpc obtained by the GRAVITY collaboration and the corresponding circular…

星系天体物理 · 物理学 2018-08-29 Stacy McGaugh

We use particle data from the Illustris simulation, combined with individual kinematic constraints on the mass of the Milky Way (MW) at specific distances from the Galactic center, to infer the radial distribution of the MW's dark matter…

宇宙学与河外天体物理 · 物理学 2016-07-28 Corbin Taylor , Michael Boylan-Kolchin , Paul Torrey , Mark Vogelsberger , Lars Hernquist

New and more reliable distances and proper motions of a large number of stars in the Tycho-Gaia Astrometric Solution (TGAS) catalogue allow to calculate the local matter density distribution more precisely than earlier. We devised a method…

星系天体物理 · 物理学 2017-11-15 Rain Kipper , Elmo Tempel , Peeter Tenjes

We determine the total dynamical matter density in the solar neighbourhood using the second Gaia data release (DR2). The dynamical matter density distribution is inferred in a framework of a Bayesian hierarchical model, which accounts for…

星系天体物理 · 物理学 2019-02-27 Axel Widmark

In order to test the reliability of determinations of the shapes of galaxies' dark matter halos, we have made such measurements for the Milky Way by two independent methods, which make use of the stellar kinematics in the solar…

天体物理学 · 物理学 2017-01-04 R. P. Olling , M. R. Merrifield

New mass estimates and cumulative mass profiles with Bayesian credible regions (c.r.) for the Milky Way (MW) are found using the Galactic Mass Estimator (GME) code and dwarf galaxy (DG) kinematic data from multiple sources. GME takes a…

We present a non-parametric model for inferring the three-dimensional (3D) distribution of dust density in the Milky Way. Our approach uses the extinction measured towards stars at different locations in the Galaxy at approximately known…

星系天体物理 · 物理学 2017-03-22 S. Rezaei Kh. , C. A. L. Bailer-Jones , R. J. Hanson , M. Fouesneau

Over the course of several years, stars trace helical trajectories as they traverse across the sky due to the combined effects of proper motion and parallax. It is well known that the gravitational pull of an unseen companion can cause…

太阳与恒星天体物理 · 物理学 2023-07-05 Jeff J. Andrews , Katelyn Breivik , Chirag Chawla , Carl Rodriguez , Sourav Chatterjee

We present here a quantitative, accurate estimate of the impact of uncertainties of astrophysical nature on the determination of the dark matter distribution within our Galaxy, the Milky Way. Based on an update of a previous analysis, this…

星系天体物理 · 物理学 2021-08-06 Maria Benito , Fabio Iocco , Alessandro Cuoco

The shape and orientation of the Milky Way's dark matter halo remain poorly constrained. Observations of the accreted stellar halo show that it is triaxial and tilted with respect to the disc. If this configuration is long-lived, it can…

星系天体物理 · 物理学 2026-02-18 Adam M. Dillamore , Jason L. Sanders

Predicting the local flux of dark matter particles is vital for dark matter direct detection experiments. To date, such predictions have been based on simulations that model the dark matter alone. Here we include the influence of the…

星系天体物理 · 物理学 2015-05-13 J. I. Read , V. Debattista , O. Agertz , L. Mayer , A. M. Brooks , F. Governato , G. Lake

Our Galaxy - the Milky Way - has certain features of the structure and evolution. The morphological, photometric, kinematic, and chemodynamical properties are usually considered in the search for the Milky Way galaxies-analogues (MWAs). The…

From a sample of 15651 RR Lyrae with accurate proper motions in Gaia DR2, we measure the azimuthally averaged kinematics of the inner stellar halo between 1.5 kpc and 20 kpc from the Galactic centre. We find that their kinematics are…

星系天体物理 · 物理学 2019-03-06 Christopher Wegg , Ortwin Gerhard , Marie Bieth

A precise determination of the local dark matter density and an accurate control over the corresponding uncertainties are of paramount importance for Dark Matter (DM) searches. Using very recent high-resolution numerical simulations of a…

高能天体物理现象 · 物理学 2014-11-21 Miguel Pato , Oscar Agertz , Gianfranco Bertone , Ben Moore , Romain Teyssier