Generating Synthetic observations for the James Webb Space Telescope

随着JWST的发射，正在为JWST生成合成观测，目前正在进行高红移宇宙数据的雪崩。我们必须拥有最好的理论模型来理解这些数据。比较模型和数据的一种方法是对理论星系的发射进行正向建模，并在这个观测者空间进行比较。在这个项目中，你将学习如何在最先进的宇宙学模拟上运行各种正演模拟管道，模拟恒星和黑洞的发射，尘埃的衰减，以及星云和星系间气体的发射和吸收特征的产生。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。你将加深对这两种理论的理解，包括如何运行和分析模拟，以及如何模拟和解释跨宇宙时间的观测。

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.