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相关论文: The Dark Matter Profiles in the Milky Way

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We carry out a Bayesian model comparison analysis to determine the dark matter model that best describes the Milky Way rotation curve, using four recent compilations of rotation-curve velocities with the Gaia data. We compare these data…

星系天体物理 · 物理学 2026-05-21 Aryan Singh , Shantanu Desai

An accurate knowledge of the dark matter distribution in the Milky Way is of crucial importance for galaxy formation studies and current searches for particle dark matter. In this paper we set new dynamical constraints on the Galactic dark…

星系天体物理 · 物理学 2015-12-03 Miguel Pato , Fabio Iocco , Gianfranco Bertone

We develop a novel Bayesian methodology aimed at reliably and precisely inferring the distribution of dark matter within the Milky Way using rotation curve data. We identify a subset of the available rotation curve tracers that are mutually…

星系天体物理 · 物理学 2019-09-25 Ekaterina V. Karukes , Maria Benito , Fabio Iocco , Roberto Trotta , Alex Geringer-Sameth

In this paper, we construct the circular velocity curve of the Milky Way out to $\sim 30$ kpc, providing an updated model of the dark matter density profile. We derive precise parallaxes for 120,309 stars with a data-driven model, using…

星系天体物理 · 物理学 2023-05-30 Xiaowei Ou , Anna-Christina Eilers , Lina Necib , Anna Frebel

Discoveries of extended rotation curves have suggested the presence of dark matter in spiral galaxy haloes. It has led to many studies that estimated the galaxy total mass, mostly by using the Navarro Frenk and White (NFW) density profile.…

星系天体物理 · 物理学 2021-10-13 Yongjun Jiao , Francois Hammer , Jianling Wang , Yanbin Yang

The rotation curve of the Milky Way is commonly used to estimate the local dark matter density $\rho_{{\rm DM},\odot}$. However, the estimates are subject to the choice of the distribution of baryons needed in this type of studies. In this…

星系天体物理 · 物理学 2019-10-16 P. F. de Salas , K. Malhan , K. Freese , K. Hattori , M. Valluri

We present the results of a new, non-parametric method to reconstruct the Galactic dark matter profile directly from observations. Using the latest kinematic data to track the total gravitational potential and the observed distribution of…

星系天体物理 · 物理学 2015-05-07 Miguel Pato , Fabio Iocco

We investigate the rotation curve of the Milky Way using a multi-component mass model including a stellar disk, a gaseous disk, a bulge/bar component, and a dark-matter halo. The stellar and gas contributions are calibrated using recent…

星系天体物理 · 物理学 2026-03-17 Zi Liu

A recent study, making use of the number of horizontal branch stars observed in infrared photometric surveys and kinematic measurements of M-giant stars from the BRAVA survey, combined with N-body simulations of stellar populations, has…

高能天体物理现象 · 物理学 2016-08-02 Dan Hooper

Mapping the dark matter distribution across our Galaxy represents a central challenge for the near future as a new generation of space-borne and ground-based astronomical surveys swiftly comes online. Here we present a synopsis of the…

星系天体物理 · 物理学 2015-11-19 Miguel Pato , Fabio Iocco

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 {\tt galkin}…

星系天体物理 · 物理学 2020-05-21 Ekaterina V. Karukes , Maria Benito , Fabio Iocco , Roberto Trotta , Alex Geringer-Sameth

We show that current microlensing and dynamical observations of the Galaxy permit to set interesting constraints on the Dark Matter local density and profile slope towards the galactic centre. Assuming state-of-the-art models for the…

星系天体物理 · 物理学 2011-11-18 Fabio Iocco , Miguel Pato , Gianfranco Bertone , Philippe Jetzer

We derive the mass model of the Milky Way (MW) using a cored dark matter (DM) halo profile and recent data. The method used consists in fitting a spherically symmetric model of the Galaxy with a Burkert DM halo profile to available data: MW…

星系天体物理 · 物理学 2015-06-15 Fabrizio Nesti , Paolo Salucci

The ubiquitous presence of dark matter in the universe is today a central tenet in modern cosmology and astrophysics. Ranging from the smallest galaxies to the observable universe, the evidence for dark matter is compelling in dwarfs,…

星系天体物理 · 物理学 2015-03-16 Fabio Iocco , Miguel Pato , Gianfranco Bertone

A grand rotation curve of the Milky Way Galaxy is constructed, which covers a wide range of radius from the Galactic Center to ~1 Mpc, and is deconvolved into bulge, disk and halo components by least-squares fitting. We determined the scale…

星系天体物理 · 物理学 2015-05-30 Yoshiaki Sofue

The stellar and gaseous mass distributions, as well as the extended rotation curve in the nearby galaxy M33 are used to derive the radial distribution of dark matter density in the halo and to test cosmological models of galaxy formation…

星系天体物理 · 物理学 2017-11-01 Ernesto López Fune , Paolo Salucci , Edvige Corbelli

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)…

Recent measurements of the Milky Way rotation curve found a sharp decline at around $15$-$20$ kpc from the center of the Galaxy, suggesting that the Galactic dark matter halo is much less massive than predicted by other dynamical tracers.…

星系天体物理 · 物理学 2025-03-11 Xiaowei Ou , Lina Necib , Andrew Wetzel , Anna Frebel , Jeremy Bailin , Micah Oeur

Recent studies have shown that dark matter with a superfluid phase in which phonons mediate a long-distance force gives rise to the phenomenologically well-established regularities of Modified Newtonian Dynamics (MOND). Superfluid dark…

星系天体物理 · 物理学 2020-09-24 Sabine Hossenfelder , Tobias Mistele

The inconsistency of the observed rotational velocity curve of the Milky Way with the current theory of gravitational dynamics is well documented. The curve implies the presence of significantly more mass, or dark matter, than is…

星系天体物理 · 物理学 2020-07-01 Andrew Panteli
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