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[ascl:2210.029] paltas: Simulation-based inference on strong gravitational lensing systems
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.
Code site:
https://github.com/swagnercarena/paltas
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220300690W
Bibcode:
2022ascl.soft10029W
Preferred citation methods:
https://ui.adsabs.harvard.edu/abs/2022arXiv220300690W https://ui.adsabs.harvard.edu/abs/2018PDU....22..189B https://ui.adsabs.harvard.edu/abs/2021JOSS....6.3283B

ascl:2210.029
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