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[ascl:2112.017] deeplenstronomy: Pipeline for versatile strong lens sample simulations

deeplenstronomy simulates large datasets for applying deep learning to strong gravitational lensing. It wraps the functionalities of lenstronomy (ascl:1804.012) in a convenient yaml-style interface to generate training datasets. The code can use built-in astronomical surveys, realistic galaxy colors, real images of galaxies, and physically motivated distributions of all parameters to train the neural network to create a simulated dataset.

Code site:
https://github.com/deepskies/deeplenstronomy https://pypi.org/project/deeplenstronomy/
Used in:
https://ui.adsabs.harvard.edu/abs/2021arXiv211201541M
Described in:
https://ui.adsabs.harvard.edu/abs/2021JOSS....6.2854M
Bibcode:
2021ascl.soft12017M

Views: 1594

ascl:2112.017
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