paltas conducts simulation-based inference on strong gravitational lensing images. It builds on lenstronomy (ascl:1804.012) to create large datasets of strong lensing images with realistic low-mass halos, Hubble Space Telescope (HST) observational effects, and galaxy light from HST's COSMOS field. paltas also includes the capability to easily train neural posterior estimators of the parameters of the lensing system and to run hierarchical inference on test populations.
https://ui.adsabs.harvard.edu/abs/2022arXiv220300690W , https://ui.adsabs.harvard.edu/abs/2018PDU....22..189B , and https://ui.adsabs.harvard.edu/abs/2021JOSS....6.3283B