.. image:: https://img.shields.io/pypi/v/gigalens.svg :target: https://pypi.python.org/pypi/gigalens :alt: Latest PyPI version
This is an alternative branch of Giga-Lens intended for group and cluster lens modeling, this stills under intense development.
Gradient Informed, GPU Accelerated Lens modelling (GIGA-Lens) is a package for fast Bayesian inference on strong
gravitational lenses. For details, please see our paper <https://arxiv.org/abs/2202.07663>. See
here <https://giga-lens.github.io/gigalens/> for our documentation.
Install via pip from the github repo ::
pip install --no-deps --upgrade git+https://github.com/furcelay/gigalens.git@cluster-lens#egg=gigalensRequirements
^^^^^^^^^^^^
The following packages are requirements for GIGA-Lens. However, !pip install gigalens is all you need to do. In fact,
separately installing other packages can cause issues with subpackage dependencies. Some users may find it necessary
to install PyYAML.
::
tensorflow>=2.6.0
tensorflow-probability>=0.15.0
lenstronomy==1.9.3
scikit-image==0.18.2
tqdm==4.62.0The following dependencies are required by lenstronomy:
::
cosmohammer==0.6.1
schwimmbad==0.3.2
dynesty==1.1
corner==2.2.1
mpmath==1.2.1GIGALens was written by Andi Gu <andi.gu@berkeley.edu>_.