The X-ray properties of clusters of galaxies

星系团的 X 射线特性

• 批准号: 2895313
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2895313
• 关键词: ray; properties; clusters; galaxies

Clusters of galaxies are the largest bound structures in the Universe, consisting of thousands of galaxies, X-ray emitting plasma, and are dominated by dark matter. X-ray observation provide a powerful way to constrain cosmological parameters using galaxy clusters, and to understand the astrophysical processes that drive the evolution of clusters and their galaxies. In this project we will study galaxy clusters using X-ray observations from facilities such as Chandra, XMM-Newton and the new eROSITA X-ray survey. Our aims will be to: (i) improve the techniques used for measuring the masses of these huge cosmic structures; (ii) use advanced statistical techniques to quantify the contamination of X-ray samples of clusters by active galactic nuclei; and (iii) use new approaches to minimise the impact of selection biases on determinations of the properties of galaxy clusters. This project is well-suited to applicants with good Python coding skills and familiarity with statistical techniques, with the enthusiasm to develop these further while exploring the X-ray view of clusters of galaxies.

星系簇是宇宙中最大的结构结构，由数千个星系，X射线发射等离子体组成，并由暗物质主导。 X射线观察提供了一种使用星系簇来限制宇宙学参数的有力方法，并了解驱动簇及其星系发展的天体物理过程。在这个项目中，我们将使用Chandra，XMM-Newton和新的Erosita X射线调查的设施的X射线观测来研究星系簇。我们的目标是：（i）改进用于测量这些巨大宇宙结构质量的技术； （ii）使用高级统计技术来量化活性银河核对簇样品的污染； （iii）使用新方法最大程度地减少选择偏见对确定星系簇特性的影响。该项目非常适合具有良好的Python编码技巧和统计技术熟悉的申请人，并热情地在探索星系簇的X射线视图的同时，热情地开发了这些技术。