Numerical simulations of weak gravitational lensing play an important role in statistical analyses of modern galaxy imaging data.
In this talk, I will introduce our recent developments to simulate galaxy imaging data. We developed a method to produce synthetic data by utilizing full-sky lensing simulations for a given galaxy catalog. We applied the method to the data sets of Sloan Digital Sky Survey and Subaru Hyper Suprime-Cam Survey to study statistical uncertainties of two-point statistics of galaxy shapes. I will also discuss the possibility of using the synthetic data to train deep-learning networks for noise reduction in an observed lensing mass map.
Speaker: Masato Shirasaki, Jet Propulsion Lab
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