Generating Synthetic observations for the James Webb Space Telescope

为詹姆斯·韦伯太空望远镜生成综合观测结果

• 批准号: 2903874
• 金额: --
• 依托单位: University of Portsmouth
• 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-2903874
• 关键词: Generating; Synthetic; observations; James; Webb

Generating synthetic observations for the JWST With the launch of the JWST an avalanche of data on the high redshift Universe is currently being taken. It is imperative that we have the best theoretical models to understand this data. One way of comparing models with data is to forward model the emission from theoretical galaxies and compare in this observer space. In this project you will learn how to run various forward modelling pipelines on state-of-the-art cosmological simulations, modelling the emission from stars and black holes, attenuation by dust, and the production of emission and absorption features by gas in nebular and intergalactic regions. You will develop new approaches and codes that can be applied to the latest JWST data, including proprietary data, to interpret results. You will develop an understanding of both theory, including how to run and analyse simulations, as well as how to model and interpret observations across cosmic time.

随着JWST的发射，目前正在收集大量关于高红移宇宙的数据。我们必须有最好的理论模型来理解这些数据。将模型与数据进行比较的一种方法是对理论星系的发射进行前向建模，并在这个观测空间进行比较。在这个项目中，您将学习如何在最先进的宇宙学模拟上运行各种正向建模管道，模拟恒星和黑洞的发射，尘埃的衰减，以及星云和星系间区域气体的发射和吸收特征。您将开发可应用于最新JWST数据（包括专有数据）的新方法和代码，以解释结果。您将了解这两种理论，包括如何运行和分析模拟，以及如何建模和解释跨宇宙时间的观测。