Simulating galaxy imaging surveys

Feb 10, 2020 - 11:00 am to 12:00 pm
Location

Campus, Varian 355

Speaker
Masato Shirasaki (JPL and National Astronomical Observatory of Japan)

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.