deeplenstronomy: Pipeline for versatile strong lens sample simulations
Abstract
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.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- December 2021
- Bibcode:
- 2021ascl.soft12017M
- Keywords:
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- Software