银河系是典型的旋涡星系，因相对于其他星系具有最精准的细节观测，所以其对于理解旋涡星系的形成和演化十分重要。LAMOST和Gaia等其他河内巡天为我们提供了海量多维的银河系观测数据，我们可以利用这些观测数据构造银河系的动力学模型，并以此揭示银河系形成和演化历史。本项目拟利用银河系棒/核球区域的BRAVA，ARGOS 和OGLE巡天数据，结合银盘和暗晕区域的LAMOST和Gaia的K巨星样本构造离银心40kpc之内的银河系的史瓦西和torus动力学模型。由此构建的动力学模型即可：（1）更准确预测银河系各个组分的质量和角动量的分布，为银河系各成分形成理论提供限制；（2）解释太阳邻域的子结构产生机制以及外盘观测到的奇特非对称速度现象。 LAMOST和Gaia的数据在本项目中对模型的限制作用无可替代。本项目预期在构建复杂成分的动力学模型的技术上实现突破，实现在大尺度空间内建立自洽的银河系模型。

The Milky Way (MW), our own galaxy, is a typical spiral galaxy. Compared with other galaxies, it has the most accurate detailed observations because of its proximity. It is of great importance to construct dynamical models for the MW, which may help to understand the structure and formation of the MW itself and other spiral galaxies beyond. LAMOST, GAIA， and other MW surveys provide millions of stars with six-dimensional phase space data as well as age and metallicity properties, etc. This is the largest sample in the world at present and may provide unique observation constraints to the dynamical models for the MW. In this proposal, we plan to construct the Schwarzschild and torus models of the MW to 40 kpc by using the BRAVA, ARGOS, and OGLE data in the bar/bulge region as well as the LAMOST and GAIA data in the disk and halo regions. From these models, we will obtain more accurate estimations of the mass and angular momentum distributions for each component (bar, disk, and halo), and explain the local kinematics around the solar neighbourhood. By this proposal, we expect to achieve a technical breakthrough of the model construction in complex systems, and realize a self-consistent model for the MW in the large-scale space.