Sparse Linear Inversion Technique for lenstronomy
Updated and improved version of the Sparse Lens Inversion Technique (SLIT), developed within the framework of lens modelling software lenstronomy.
IMPORTANT : the current version of SLItronomy only works with the branch dev_algo-slit on this fork of lenstronomy. In some rare cases (e.g. travis-ci builds), it may also requires the following fork of pySAP, switched to branch dev-aym.
This package is available through PyPi.
$ pip install slitronomy
An ensemble of example notebooks are located at thirdparty/notebooks :
- Pixelated image-to-source plane mapping (nearest-neighbor interpolation)
- Pixelated image-to-source plane mapping (bilinear interpolation)
- Starlets decomposition and reconstruction
- Sparse source reconstruction
- Lens model optimization
- Multi-band source reconstruction (requires MuSCADeT)
- Sparse source and lens light reconstructions
- Sparse source reconstruction with quasar images
If required, install the fork of Multi-band morpho-Spectral Component Analysis Deblending Tool : MuSCADeT
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