SLITronomy - Sparse Linear Inversion Technique

Updated and improved version of the Sparse Lens Inversion Technique (SLIT), developed within the framework of lens modelling software lenstronomy.

The documentation is available on readthedocs.org (currently in development).

Installation

This package is available through PyPi.

$ pip install slitronomy --user

Requirements

In addition to standard packages listed in 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 :

• Pixelated image-to-source plane mapping
• 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

Acknowledging SLITronomy

• SLITronomy: Galan et al. 2020.
• Sparse Linear Inversion Technique: Joseph et al. 2019.
• lenstronomy modelling software: Birrer & Amara 2018.