Simon WU
Pronouns:
Research Mentor(s): Johannes Lange
Research Mentor School/College/Department: Physics / LSA
Program: CG
Session: Session 2 (10:00am – 10:50am)
Authors:
Abstract
Gravitational lensing is a well-known phenomenon in astrophysics whereby the light from a distant source is bent by the gravitational pull of a massive object, resulting in distorted images. The study of gravitational lensing has become an essential tool for understanding the distribution of dark matter in the Universe. Recent research has focused on analyzing the gravitational lensing signal on non-linear scales. However, current models do not typically account for subhalo within larger dark matter halos, which may contribute to the galaxy-galaxy lensing signal. This research aims to construct multiple lensing prediction models that consider subhalos and provide a more accurate estimate of the gravitational lensing signal. The study uses the halotools package in Python, which allows for the efficient simulation and prediction of lensing signals from subhalos. By incorporating this information into lensing models, we aim to improve our understanding of the distribution of dark matter in the Universe.
