The binarity of young stars as traced by Gaia

盖亚追踪年轻恒星的二元性

• 批准号: 2602501
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2602501
• 关键词: binarity; young; stars; traced; Gaia

Over the past years it has emerged that the binarity of massive stars may significantly affect their evolution and properties; massive Main Sequence stars have a binary fraction close to 100%, while 70% of these have sufficiently small separations for interactions to occur. This will significantly affect their further evolution. If we are to understand the evolution and fate of massive stars therefore, we need to understand how their binarity came to be. Thus, an important question is how these binaries were formed and evolved. To do so we need to go to the earliest stages in the lives of stars to study the proto- binaries. However, especially for those all important massive stars, not much data is known on their early binarity. In this project we will use data from the revolutionary Gaia telescope and its upcoming 2021 Data Release 3 in particular to search for, identify and characterize the binarity from an existing sample of known, young Pre-Main Sequence stars. In addition, Machine Learning techniques will be used to further explore the gigantic Gaia database and discover new such objects.

在过去的几年里，人们发现大质量恒星的双星可能会显著影响它们的演化和特性；大质量主序星的双星比例接近100%，而其中70%有足够小的距离来发生相互作用。这将显著影响它们的进一步发展。因此，如果我们要了解大质量恒星的演化和命运，我们需要了解它们的双星是如何形成的。因此，一个重要的问题是这些双星是如何形成和演化的。要做到这一点，我们需要回到恒星生命的最初阶段，研究原始双星。然而，特别是对于那些重要的大质量恒星，我们对它们早期的双星系统知之甚少。在这个项目中，我们将使用革命性的盖亚望远镜及其即将到来的2021年数据发布3的数据，特别是从现有的已知年轻的前主序星样本中搜索，识别和表征双星。此外，机器学习技术将用于进一步探索巨大的盖亚数据库，并发现新的此类对象。