lenstronomy 0.0.10

Strong lens modeling package.

The model package for gravitational strong lens images. The software is based on Birrer et al 2015 and finds application in e.g. Birrer et al. 2016 for time-delay cosmography and Birrer et al. 2017 for lensing substructure analysis.

The development is coordinated on GitHub and contributions are welcome. The documentation of lenstronomy is available at readthedocs.org and the package is distributed over PyPI.

Installation

$ pip install lenstronomy

Requirements

To run lens models with elliptical mass distributions, the fastell4py package, originally from Barkana (fastell), is also required and can be cloned from: https://github.com/sibirrer/fastell4py (needs a fortran compiler) * CosmoHammer (through PyPi) * standard python libraries (numpy, scipy)

Bug reporting and contributions

• see CONTRIBUTING.rst

Modelling Features

• Extended source reconstruction with basis sets (shapelets)

• Analytic light profiles for lens and source as options

• Point sources (including solving the lens equation)

• a variety of mass models to use

• non-linear line-of-sight description

• iterative point spread function

• linear and non-linear optimization modules

Analysis tools

• Standardized fitting procedures for lens modelling

• Modular build up to design plugins by users

• Pre-defined plotting and illustration routines

• Particle swarm optimization for parameter fitting

• MCMC (emcee from CosmoHammer) for parameter inferences

• Kinematic modelling

• Cosmographic inference tools

Example notebooks

We have made an extension module available at http://github.com/sibirrer/lenstronomy_extensions . You can find examle notebooks for various cases, such as time-delay cosmography, substructure lensing, line-of-sight analysis and source reconstructions.