Metadata-Version: 1.2
Name: slitronomy
Version: 0.3.0
Summary: Sparse Linear Inversion Technique for lenstronomy
Home-page: https://github.com/aymgal/SLITronomy
Author: Aymeric Galan
Author-email: aymeric.galan@gmail.com
License: MIT
Download-URL: https://github.com/aymgal/slitronomy/archive/0.1.1.tar.gz.zip
Description: **********************************************
        SLITronomy - Sparse Linear Inversion Technique
        **********************************************
        
        .. image:: https://travis-ci.org/aymgal/SLITronomy.svg?branch=master
            :target: https://travis-ci.org/aymgal/SLITronomy
            :alt: Build status
        
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            :target: https://coveralls.io/github/aymgal/SLITronomy
            :alt: Coverage status
        
        .. .. image:: https://codecov.io/gh/aymgal/SLITronomy/branch/master/graph/badge.svg
        ..   :target: https://codecov.io/gh/aymgal/SLITronomy
        
        .. image:: https://badge.fury.io/py/slitronomy.svg
            :target: https://badge.fury.io/py/slitronomy
            :alt: PyPi status
        
        .. image:: https://readthedocs.org/projects/slitronomy/badge/?version=latest
            :target: https://slitronomy.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://img.shields.io/badge/python-3.6-blue.svg
            :target: https://badge.fury.io/py/slitronomy
            :alt: Python 3.6 support
        
        .. image:: https://img.shields.io/badge/python-3.7-blue.svg
            :target: https://badge.fury.io/py/slitronomy
            :alt: Python 3.7 support
        
        .. image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat
            :target: https://github.com/aymgal/slitronomy/blob/master/LICENSE
            :alt: MIT license
        
        
        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).
        
        IMPORTANT : the current (beta) version of SLItronomy only works with the branch ``dev_slit-bis`` on `this fork <https://github.com/aymgal/lenstronomy/tree/dev_slit-bis>`_  of lenstronomy. In some rare cases (e.g. travis-ci builds) you may have issues with the latest stable release of PySAP. If this is the case, please use this `fork of pySAP <https://github.com/aymgal/pysap/tree/dev-aym>`_ switched to branch ``dev-aym``, instead.
        
        
        Installation
        ============
        
        This package is available through PyPi.
        
        .. code-block:: bash
        
            $ pip install slitronomy
        
        
        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>`_
        
        
        References
        ==========
        
        * SLITronomy paper: in prep.
        * 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>`_.
        
Keywords: slitronomy
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
