Nearby galaxies observed with real and virtual telescopes

用真实和虚拟望远镜观测到的附近星系

• 批准号: RGPIN-2018-04460
• 负责人: Barmby, Pauline
• 金额: $ 1.75万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644665
• 关键词: Nearby; galaxies; observed; real; virtual

Galaxies consist of stars, planets, gas, dust, and black holes, all held together by the gravitational pull of dark matter. All of the atoms we see around us on Earth and in the night sky were made in a galaxy. Understanding how galaxies work is part of knowing the origins of life on Earth. From the calcium in our bones to the North Star, the contents of our Milky Way galaxy are the product of earlier generations of stars. Galaxies are complex systems, and understanding how they came to their present states requires gathering all of the clues available. The processes that produced galaxies are so slow in human terms that the only way to see them operate is to run computer simulations. These simulations are tested by comparison to observations of real galaxies. Nearby galaxies in particular provide a clear view of the internal components as well as the big picture of global properties, such as total mass and light distribution. These global properties determine how galaxies change with time but are very difficult to measure for the Milky Way from our position within it. This research will use the world's most advanced telescopes to make observations of nearby galaxies at many wavelengths of light and combine them together in new ways. The team will bring together diverse and sophisticated information delivered by modern telescopes for a carefully-chosen set of nearby galaxies and combine that information into a comprehensive picture. The observations will be used to test computer simulations using advanced statistical methods. We will find out how well simulations can reproduce real galaxies, and where they fall short. Students who participate in this research will learn advanced astrophysics, computing and data analysis techniques. They will be prepared to use future cutting-edge telescopes or apply their skills to "big data" questions in Canadian research, government, and industry.**

银河系由恒星、行星、气体、尘埃和黑洞组成，所有这些都被暗物质的引力吸引在一起。我们在地球上和夜空中看到的所有原子都是在星系中形成的。了解星系如何运作是了解地球生命起源的一部分。从我们骨骼中的钙到北极星星，我们银河系的内容都是早期恒星的产物。星系是复杂的系统，要了解它们是如何达到目前的状态，需要收集所有可用的线索。星系的形成过程在人类看来是如此缓慢，以至于看到它们运行的唯一方法就是运行计算机模拟。通过与真实的星系的观测结果进行比较，对这些模拟进行了测试。特别是附近的星系提供了一个清晰的内部组成部分以及全球性质的大画面，如总质量和光分布。这些全局性质决定了星系如何随时间变化，但从我们所在的位置测量银河系是非常困难的。这项研究将使用世界上最先进的望远镜，在许多波长的光下观测附近的星系，并以新的方式将它们结合在一起。联合收割机该团队将汇集现代望远镜提供的一组精心挑选的附近星系的各种复杂信息，并将这些信息联合收割机组合成一幅全面的图片。 这些观察结果将用于测试使用先进统计方法的计算机模拟。我们将发现模拟能多好地再现真实的星系，以及它们的不足之处。参加这项研究的学生将学习先进的天体物理学，计算和数据分析技术。他们将准备使用未来的尖端望远镜或将他们的技能应用于加拿大研究，政府和工业中的“大数据”问题。