文章基本信息

标题：Anisotropy of the Milky Way’s Stellar Halo Using K Giants from LAMOST and Gaia
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作者：Sarah A. Bird ; Xiang-Xiang Xue ; Chao Liu 等
期刊名称：The Astronomical journal
印刷版ISSN：0004-6256
电子版ISSN：1538-3881
出版年度：2019
卷号：157
期号：3
页码：1-10
DOI：10.3847/1538-3881/aafd2e
语种：English
出版社：American Institute of Physics
摘要：The anisotropy parameter β characterizes the extent to which orbits in stellar systems are predominantly radial or tangential and is likely to constrain, for the stellar halo of the Milky Way, scenarios for its formation and evolution. We have measured β as a function of Galactocentric radius from 5 to 100 kpc for 7664 metal-poor ([Fe/H]< 1.3) halo K giants from the LAMOST catalog with line-of-sight velocities and distances, matched to proper motions from the second Gaia data release. We construct full 6D positions and velocities for the K giants to directly measure the three components of the velocity dispersion (σ r , σ θ , σ f ) (in spherical coordinates). We find that the orbits in the halo are radial over our full Galactocentric distance range reaching over 100 kpc. The anisotropy remains remarkably unchanged with Galactocentric radius from approximately 5–25kpc, with an amplitude that depends on the metallicity of the stars, dropping from β≈0.9 for −1.8[Fe/H]<−1.3 (for the bulk of the stars) to β≈0.6 for the lowest metallicities ([Fe/H]<−1.8). Considering our sample as a whole, β≈0.8 and beyond 25 kpc, the orbits gradually become less radial and anisotropy decreases to β<0.3 past 100 kpc. Within 8kpc, β<0.8. The measurement of anisotropy is affected by substructure and streams, particularly beyond a Galactocentric distance of approximately 25 kpc, where the Sagittarius stream is prominent in the data. These results are complimentary to recent analysis of simulations by Loebman et al. and of SDSS/Gaia DR1 data by Belokurov et al.
关键词：galaxies: individual (Milky Way);Galaxy: halo;Galaxy: kinematics and dynamics;Galaxy: stellar content;stars: individual (K giants);stars: kinematics and dynamics