Strong-Galaxy-Lensing-Simulation

Python-based code to simulate mock strong lensed galaxies.

Notes:

The codes in this repository (and their subsequent variations) are used to simulate strong lens galaxies in the following papers:

1. New high-quality strong lens candidates with deep learning in the Kilo Degree Survey

2. LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

3. Testing convolutional neural networks for finding strong gravitational lenses in KiDS

4. The inner mass power spectrum of galaxies using strong gravitational lensing: beyond linear approximation

5. Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

6. Observational constraints on the sub-galactic matter-power spectrum from galaxy-galaxy strong gravitational lensing