Cosmology with upcoming cosmic shear surveys

弱引力透镜现在被认为是宇宙学中最引人注目的探测器之一，它可以绘制出天空中暗物质的分布，同时提供一些对其聚集度和丰度的最佳测量。目前正在分析现有的宇宙剪切数据，如来自Kilo Degree Survey（KiDS）的数据，并正在部署新的方法，以最大限度地提高其科学成果。其中，基于模拟的方法因其在更好地捕捉数据中所含信息方面的潜力而受到越来越多的关注。在这个项目中，我将专门研究这些新的分析技术，首先验证模拟方法，然后将研究结果应用于KiDS遗留数据，随后应用于LSST调查的第一个数据发布。

Weak gravitational lensing is now established as one of the most compelling probes of cosmology, allowing to map out the dark matter distribution on the sky while providing some of the best measurements of its clumpiness and abundance. Existing cosmic shear data such as that from the Kilo Degree Survey (KiDS) are currently being analyzed and novel methods are being deployed in order to maximize their scientific outcome. Among these, simulation-based approaches are receiving an increasing level of attention for their potential at better capturing the information contained in the data. In this project, I will specialize in some of these novel analysis techniques, validate the methods on simulations at first, then apply the findings on the KiDS legacy data, and subsequently on the first data release of the LSST survey.