Self-consistent Modeling of the Dynamics and Chemistry of Molecular Clouds in Different Evolutionary Stages

不同进化阶段分子云动力学和化学的自洽建模

• 批准号: 5330472
• 负责人: Professor Dr. Thomas Henning
• 金额: --
• 依托单位: Max-Planck-Institut für Astronomie (MPIA)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2001
• 资助国家: 德国
• 起止时间: 2000-12-31 至 2005-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5330472?language=en
• 关键词: Self; consistent; Modeling; Dynamics; Chemistry

The process of star formation covers a tremendous range of physical conditions and size scales. It also involves a variety of dynamical processes. Due to the difficulty of direct observations of the most abundant molecule H2, we are forced to assess the dynamical state of star-forming regions through observations of trace species that are not necessarily well mixed with molecular hydrogen. Thus, to interpret adequately results of observations, self-consistent models of the dynamical and chemical evolution are required. We intend to create such a model in which all relevant processes are taken into account, including up-to-date information about the chemical reaction rates, cooling and heating rates, diffusion, and grain surface reactions. This model will be coupled with 1D- and 2D-hydrodynamical models and compared with other chemical codes and observational data.

恒星形成的过程涵盖了巨大范围的物理条件和大小尺度。它还涉及各种动态过程。由于直接观测最丰富的H2分子的困难，我们被迫通过观察不一定与氢分子混合良好的微量物质来评估恒星形成区域的动态状态。因此，为了充分解释观测结果，需要动力学和化学演化的自洽模型。我们打算创建这样一个模型，其中考虑到所有相关过程，包括有关化学反应速率、冷却和加热速率、扩散和颗粒表面反应的最新信息。该模型将与一维和二维流体动力学模型耦合，并与其他化学代码和观测数据进行比较。