Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference

• DOI: 10.2172/1958791
• Publication Date: 2023-03-02T03:17:34Z
• Authors: Jason Poh; Ashwin Samudre; Aleksandra Ciprij...; Brian Nord; Gourav Khullar; Dimitrios Tanoglidis; Joshua Frieman
• Keywords: Approximate Bayesian Computation

galaxy-galaxy lenses. We demonstrate the successful application of Neural Posterior Estimation (NPE) to automate inference a 12-parameter lens mass model for DES-like ground-based imaging data. compare our NPE constraints Bayesian Network (BNN) and find that it outperforms BNN, producing posterior distributions are most part both more accurate precise; in particular, several source-light parameters systematically biased BNN implementation.