Cosmography With BayesLens: An Overview
Behind every galaxy cluster, there are many distant galaxies; the cluster splits their light into multiple images. We can use this effect to measure the relative distances between us, the cluster, and each distant galaxy, which in the end allows us to measure how the Universe has been expanding and if there's new physics to be discovered. Throughout the last 4 months, I have worked on extending the existing galaxy cluster modelling code BayesLens, to include the parameters that describe this expansion. During this time, I have managed to extend and parallelize BayesLens for more effective modelling and cosmology on high perfomance computing (HPC) centers. I have also created ClusterMock, a Python package to generate simulated clusters based on real cluster observations. The purpose of this code is to create realistic clusters for the determination of the sensitivit of- and systematics in the extended BayesLens code.
This page serves as an overview of posts about my work on cluster-lensing cosmography with BayesLens. You can find a list over current and future posts listed below:
Down With The System: A Look Into Systematics
BayesLens Cosmography In The Wild: Application On Real Clusters
