A Framework for Obtaining Accurate Posteriors of Strong Gravitational Lensing Parameters with Flexible Priors and Implicit Likelihoods Using Density Estimation

We report the application of implicit likelihood inference to the prediction of the macroparameters of strong lensing systems with neural networks. This allows us to perform deep-learning analysis of lensing systems within a well-defined Bayesian statistical framework to explicitly impose desired pr...

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Bibliographic Details

Published in:	The Astrophysical Journal
Main Authors:	Ronan Legin, Yashar Hezaveh, Laurence Perreault-Levasseur, Benjamin Wandelt
Format:	Article
Language:	English
Published:	IOP Publishing 2023-01-01
Subjects:	Strong gravitational lensing Convolutional neural networks Neural networks Markov chain Monte Carlo Posterior distribution Prior distribution
Online Access:	https://doi.org/10.3847/1538-4357/aca7c2