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[ascl:2211.009] ovejero: Bayesian neural network inference of strong gravitational lenses

ovejero conducts hierarchical inference of strongly-lensed systems with Bayesian neural networks. It requires lenstronomy (ascl:1804.012) and fastell (ascl:9910.003) to run lens models with elliptical mass distributions. The code trains Bayesian Neural Networks (BNNs) to predict posteriors on strong gravitational lensing images and can integrate with forward modeling tools in lenstronomy to allow comparison between BNN outputs and more traditional methods. ovejero also provides hierarchical inference tools to generate population parameter estimates and unbiased posteriors on independent test sets.

Code site:
https://github.com/swagnercarena/ovejero
Described in:
https://ui.adsabs.harvard.edu/abs/2021ApJ...909..187W
Bibcode:
2022ascl.soft11009W

Views: 992

ascl:2211.009
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