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.

星系团是宇宙中最大的束缚结构，由数千个星系组成，发射 X 射线等离子体，并且以暗物质为主。 X射线观测提供了一种强大的方法来利用星系团约束宇宙学参数，并了解驱动星系团及其星系演化的天体物理过程。在这个项目中，我们将使用钱德拉、XMM-牛顿和新的 eROSITA X 射线巡天等设施的 X 射线观测来研究星系团。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) 使用先进的统计技术来量化活跃星系核对星团 X 射线样本的污染； (iii) 使用新方法尽量减少选择偏差对确定星系团特性的影响。该项目非常适合具有良好 Python 编码技能、熟悉统计技术、并热衷于在探索星系团 X 射线视图的同时进一步发展这些技术的申请人。