Code for Anisotropies in the Microwave Background
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Updated
Jun 21, 2024 - Fortran
Code for Anisotropies in the Microwave Background
multi-purpose lens modeling software package
PyAutoLens: Open Source Strong Gravitational Lensing
Planck 2018 lensing pipeline
Code for making lensed CMB maps
Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.
A gravitational lensing simulator for the machine learning era.
A pipeline for versatile strong lens sample simulations
JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.
Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.
Tools for gravitational lensing: now deprecated by pixell+orphics+symlens. Leaving it here in case anyone needs to reproduce old stuff.
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.
Standard for strong gravitational lensing analyses
Classifying simulated strong lensing images
forward reconstruction of lenses and sources from strong lensing observations
Code to simulate mock strong lensed galaxies
Strong Lens Line-of-sight and Substructure Challenge
Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.
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