Fundamental physics with the large scale structure of the Universe

利用即将到来的星系和弱引力透镜调查的数据，该项目旨在解决宇宙学的基本问题：中微子的质量有多大？有没有奇异的相对论物质成分？最初的密度波动究竟是如何产生的？目前对宇宙结构增长的理论预测无法与未来测量的预期精度相匹配。该项目旨在解决这一问题，并允许充分利用观测的发现潜力。通过将宇宙的数值模拟与机器学习算法相结合，将有可能准确和有效地估计宇宙学参数。

Using data from upcoming galaxy and weak gravitational lensing surveys, this project aims to address fundamental questions of cosmology: how massive are neutrinos? Are there exotic relativistic matter components? How exactly were the initial density fluctuations generated? Current theoretical predictions of the growth of cosmic structures are not able to match the expected precision of future measurements. This project aims to solve this problem and allow for the full harnessing of discovery potential of the observations. By combining numerical simulations of the Universe with a machine-learning algorithm, accurate and efficient estimation of cosmological parameters will be made possible.