Code for Anisotropies in the Microwave Background

multi-purpose lens modeling software package

PyAutoLens: Open Source Strong Gravitational Lensing

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

A gravitational lensing simulator for the machine learning era.

Standard for strong gravitational lensing analyses

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

Code for making lensed CMB maps

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

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

An interactive simulation of gravitational lensing effects using WebGL

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

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

Modeling and inversion of gravitational lenses through a Python interface

SNTD is a Python package dedicated to measuring time delays for strongly lensed and multiply-imaged SN. The package can simulate lensed SN, fit for each SN time delay, and propagate the results all the way through to cosmological constraints.

forward reconstruction of lenses and sources from strong lensing observations

My Journey in Theoretical Cosmology and Advanced Computational Astrophysics through the various related projects with Python using Data Science and Analytics techniques.