Inferring the stellar and dark matter mass distribution from the stellar kinematics data

从恒星运动学数据推断恒星和暗物质质量分布

• 批准号: 2235319
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2235319
• 关键词: Inferring; stellar; dark; matter; mass

The European Space Agency (ESA)'s Gaia mission is currently producing the unprecedented amount and accuracy of the stellar astrometry data. Such large amount of the accurate stellar kinematics data enable us to reconstruct the gravitational potential of the Milky Way and dwarf galaxies. In the near future, the recently selected Japanese small JASMINE mission, which is the Gaia-level high-precision astrometry mission in Near-InfraRed (NIR), but focuses on the Galactic centre, will produce the accurate stellar kinematics data in the Galactic nuclear region, which will allow us to infer the gravitational potential of the Galactic central region, too. We will develop an advanced dynamical model to reconstruct the mass distribution from the stellar kinematics data in the Galactic centre and dwarf galaxies, using the made-to-measure (M2M) scheme, which allows to model both the stellar and dark matter mass distribution. First, by applying the model to the mock data, we will validate the model. Then, we will apply the technique to the real data, such as the Gaia and Hubble Space Telescope proper motion data and ground-based spectroscopic data, and reveal both the stellar and dark matter distribution.

欧洲航天局(欧空局)的S盖亚任务目前正在产生前所未有的数量和精度的恒星天体测量数据。如此大量的精确恒星运动学数据使我们能够重建银河系和矮星系的引力势。在不久的将来，最近选定的日本小茉莉花任务，这是GAIA级高精度近红外天体测量任务，但重点放在银河系中心，将产生准确的银河系核区恒星运动学数据，这也将使我们能够推断银河系中心区的引力势。我们将开发一个先进的动力学模型来根据银河系中心和矮小星系的恒星运动学数据重建质量分布，使用定制测量(M2M)方案，该方案允许对恒星和暗物质质量分布进行建模。首先，通过将该模型应用于模拟数据，我们将验证该模型。然后，我们将把这项技术应用于实际数据，如盖亚和哈勃太空望远镜的自行数据和地面光谱数据，并揭示恒星和暗物质的分布。