题目：Optimal Information Extraction from the Non-Gaussian Universe

报告人：余瑜 副教授（上海交通大学）

地点：紫金港校区西区海纳苑8幢324教室

时间：2023年5月19日（周五），上午10:30

摘要： On-going and future galaxy surveys provide us huge amount of precious data and unprecedented statistical power to constrain cosmological models and parameters.  Optimized analysis methods are essential to alleviate various small but important systematics caused by the nonlinear effects of the late Universe, and to extract more cosmic information from the same data set.  In this talk I will introduce the multiple attempts, based on the understanding of the nonlinear evolution of the Universe, on the optimized measurements  for the cosmic probes, including weak gravitational lensing, baryon acoustic oscillations, and redshift-space distortions.

个人简介：Yu Yu graduated from Tongji University in 2007 and obtained BS degree in Mathematics.  As an amateur stargazer, Yu chose Shanghai Astronomical Observatory and obtained his PhD in 2013.  After 4 years stay in SHAO as a faculty, in 2017 Yu joined the Department of Astronomy, Shanghai Jiao Tong University.  Yu mainly focus on the large-scale structure of the Universe, the statistical tools to extract cosmic information, and the associated measurement algorithms and simulation techniques.

欢迎老师和同学参加！