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arXiv 0909.0013astro-ph.GA
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使用SDSS的Milky Way断层扫描:III。恒星动力学

The Milky Way Tomography with SDSS: III. Stellar Kinematics

N. A. Bond, Z. Ivezic, B. Sesar, M. Juric, J. Munn

摘要:

我们研究银河系的运动学,使用的样本是1880万颗主序星,r<20,自行测量来自SDSS和POSS天体测量,包括~ 170,000颗恒星的径向速度测量来自SDSS光谱调查。到恒星的距离是使用光度视差关系确定的,在银河系高纬度(|b| >20度)的四分之一的天空中覆盖从~100 pc到10 kpc的距离范围。我们发现,在1 kpc <Z< 5 kpc和3 kpc <R< 13 kpc的区域内,随着离银道面的距离的增加,盘星的自转速度平滑地减小,速度色散的三个分量都增加。与此相反,晕星的速度椭球与球面坐标系对齐,并且在探测体积内似乎是空间不变的。附近($Z<1$ kpc)K/M星的速度分布比较复杂,不能用标准的史瓦西椭球体来描述。对于距离有限的恒星子样本(<100 pc)中的恒星,我们检测到与HIPPARCOS所见一致的多模态速度分布。当使用史瓦西近似时,这种强非高斯性显著影响速度椭球倾斜和顶点偏差的测量。我们开发并测试了一个简单的描述性模型的整体运动学行为,捕捉这些功能在大多数的探测量,并可用于搜索子结构的运动学和金属丰度空间。我们使用这个模型来预测进一步改善银河系的运动学映射预期从盖亚和LSST。

英文摘要:

We study Milky Way kinematics using a sample of 18.8 million main-sequence stars with r<20 and proper-motion measurements derived from SDSS and POSS astrometry, including ~170,000 stars with radial-velocity measurements from the SDSS spectroscopic survey. Distances to stars are determined using a photometric parallax relation, covering a distance range from ~100 pc to 10 kpc over a quarter of the sky at high Galactic latitudes (|b|>20 degrees). We find that in the region defined by 1 kpc <Z< 5 kpc and 3 kpc <R< 13 kpc, the rotational velocity for disk stars smoothly decreases, and all three components of the velocity dispersion increase, with distance from the Galactic plane. In contrast, the velocity ellipsoid for halo stars is aligned with a spherical coordinate system and appears to be spatially invariant within the probed volume. The velocity distribution of nearby ($Z<1$ kpc) K/M stars is complex, and cannot be described by a standard Schwarzschild ellipsoid. For stars in a distance-limited subsample of stars (<100 pc), we detect a multimodal velocity distribution consistent with that seen by HIPPARCOS. This strong non-Gaussianity significantly affects the measurements of the velocity ellipsoid tilt and vertex deviation when using the Schwarzschild approximation. We develop and test a simple descriptive model for the overall kinematic behavior that captures these features over most of the probed volume, and can be used to search for substructure in kinematic and metallicity space. We use this model to predict further improvements in kinematic mapping of the Galaxy expected from Gaia and LSST.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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