Code for Anisotropies in the Microwave Background

Multi-purpose lens modeling software package

PyAutoLens: Open Source Strong Gravitational Lensing

A gravitational lensing simulator for the machine learning era.

Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.

A pipeline for versatile strong lens sample simulations

A Galaxy-Galaxy Lensing Python Package

Planck 2018 lensing pipeline

Standard for strong gravitational lensing analyses

JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.

The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL

Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.

Implementation of automatic differentiation in VBozza's BinaryLensing

Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.

From Shear to Map: A Python-based approach to constructing mass maps from lensing measurements.

An interactive simulation of gravitational lensing effects using WebGL

Code for making lensed CMB maps

An interactive-slider-demo for a simple gravitational lens.

The goal of this project is to create an all-encompassing collection of Jupyter notebooks—your trusty companions for engaging exercises related to microlensing. Through these notebooks, the insights and experiences of microlensing elders can light your path as you embark on your journey of discovery and exploration through scientific research.

Modeling and inversion of gravitational lenses through a Python interface