Type: Poster
Session: Posters (Wednesday & Thursday)
Author: Giovanni Carbonara

Abstract: We will be using massive optimal data compression with samples of Type Ia supernovae from the Pantheon and the Joint Light Curve Analysis projects to measure cosmological parameters. We are collaborating with Catalyst Fellow Dr. Arrykrishna Mootoovaloo to test his Bayesian analysis pipelines that allow measurement of cosmological parameters using likelihood-free inference. We will also use Type Ia supernovae from Rubin Observatory DP0.2 to test the pipeline and see if input cosmological parameters are recovered.