SIMBAD references

2017MNRAS.467.2180B - Mon. Not. R. Astron. Soc., 467, 2180-2198 (2017/May-2)

Dynamical history of the Local Group in ΛCDM - II. Including external perturbers in 3D.

BANIK I. and ZHAO H.

Abstract (from CDS):

We attempt to fit the observed radial velocities (RVs) of ∼30 Local Group (LG) galaxies using a 3D dynamical model of it and its immediate environment within the context of the standard cosmological paradigm, Λ cold dark matter (CDM). This extends and confirms the basic results of our previous axisymmetric investigation of the LG. We find that there remains a tendency for observed RVs to exceed those predicted by our best-fitting model. The typical mismatch is slightly higher than in our 2D model, with a root mean square value of ∼50 km s–1. Our main finding is that including the 3D distribution of massive perturbing dark matter haloes is unlikely to help greatly with the high-velocity galaxy problem. None the less, the 2D and 3D results differ in several other ways such as which galaxies' RVs are most problematic and the preferred values of parameters common to both models. The anomalously high RVs of several LG dwarfs may be better explained if the Milky Way (MW) and Andromeda (M31) were once moving much faster than in our models. This would allow LG dwarfs to gain very high RVs via gravitational slingshot encounters with a massive fast-moving galaxy. Such a scenario is possible in some modified gravity theories, especially those that require the MW and M31 to have previously undergone a close flyby. In a ΛCDM context, however, this scenario is not feasible as the resulting dynamical friction would cause a rapid merger.

Abstract Copyright: © 2017 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: data analysis - methods: numerical - Galaxy: kinematics and dynamics - galaxies: groups: individual: Local Group - cosmological parameters - dark matter - dark matter

Simbad objects: 55

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2017MNRAS.467.2180B and select 'bookmark this link' or equivalent in the popup menu


2019.10.21-08:38:56

© Université de Strasbourg/CNRS

    • Contact