**********************************************
SLITronomy - Sparse Linear Inversion Technique
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Updated and improved version of the Sparse Lens Inversion Technique (`SLIT <https://github.com/herjy/SLIT>`_), developed within the framework of lens modelling software `lenstronomy <https://github.com/sibirrer/lenstronomy>`_.
The documentation is available on `readthedocs.org <http://slitronomy.readthedocs.org/>`_ (currently in development).
Installation
============
This package is available through PyPi.
.. code-block:: bash
$ pip install slitronomy --user
Requirements
============
In addition to standard packages listed in `requirements.txt <https://github.com/aymgal/SLITronomy/tree/master/requirements.txt>`_, lenstronomy needs to be installed to access to python classes for proper initialisation of SLITronomy solvers.
The most straghtforward way to use pixel-based solvers of SLITronomy is directly through lenstronomy (version >=1.6.0), by using the `'SLIT_STARLETS'` light profiles. SLITronomy can also be used as a standalone tool.
Example notebooks
=================
An ensemble of example notebooks are located at `thirdparty/notebooks <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks>`_ :
* `Pixelated image-to-source plane mapping <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/01_lensing_mapping.ipynb>`_
* `Starlets decomposition and reconstruction <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/02_starlets_decomposition.ipynb>`_
* `Sparse source reconstruction <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/03_complex_source_reconstruction.ipynb>`_
* `Lens model optimization <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/04_source_mass_reconstruction.ipynb>`_
* `Multi-band source reconstruction <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/05_multiband_source_reconstruction.ipynb>`_ (requires `MuSCADeT <https://github.com/aymgal/MuSCADeT>`_)
* `Sparse source and lens light reconstructions <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/06_complex_sourcelens_reconstruction.ipynb>`_
* `Sparse source reconstruction with quasar images <https://github.com/aymgal/SLITronomy/tree/master/thirdparty/notebooks/07_complex_quasar_source.ipynb>`_
Acknowledging SLITronomy
========================
* SLITronomy: `Galan et al. 2020 <https://arxiv.org/abs/2012.02802>`_.
* Sparse Linear Inversion Technique: `Joseph et al. 2019 <https://arxiv.org/abs/1809.09121>`_.
* lenstronomy modelling software: `Birrer & Amara 2018 <https://arxiv.org/abs/1803.09746v2>`_.
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