Multi-purpose lens modeling software package
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Updated
Sep 17, 2026 - Python
Multi-purpose lens modeling software package
A pipeline for versatile strong lens sample simulations
Automated pipeline for lens modelling based on lenstronomy
Implicit neural representations for strong lensing source reconstruction. Code repository associated with https://arxiv.org/abs/2206.14820.
Generates the training data for hierarchical inference of strongly-lensed systems with Bayesian neural networks
The COSMOS-Web Lens Survey (COWLS): Exquisite Multi-wavelength JWST imaging of over 100 Strong Lens Candidiates
Deep-learning classification of strong gravitational lenses for the LSST Strong Lensing Data Challenge (2025): Vision Transformer / ConvNeXt backbones on 5-band (grizy)
Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.
slcomp: compilation of strong lensing objects
Code for "Measuring the substructure mass power spectrum of 23 SLACS strong galaxy-galaxy lenses with convolutional neural networks"
Contains the COLAB notebook and datasets for Gravity Resonance Threshold Theory paper.
Gravity Threshold Theory Strong Lensing using CAT, SHARON and GLAFIC
Code to simulate mock strong lensed galaxies
Temporal-Spatial Coupling in Gravitational Lensing: A Reinterpretation of Dark Matter Observations — Reinterprets dark matter observations as phantom mass from temporal shear in gravitational lensing. Conformal metric coupling generates gravitational shear signatures, resolving strong lensing time delays and the core-cusp problem.
Searching for galaxy satellites by their impact on lens potential in strong gravitational lensing setup
Simone La Porta's Master thesis in gravitational lensing with applications of automatic differentiation @ Alma Mater Studiorum - Università di Bologna
Reproducible dark-matter lensing auditor for mass models, lensing observables, assumptions and consistency checks. Includes documented computational analysis, visualization and reproducible workflows appropriate to the project scope.
Interactive gravitational-lensing laboratory for Einstein rings, lens geometry, magnification and mass-dependent image distortion. Uses reproducible numerical experiments, parameter exploration and quantitative scientific visualization.
Constrain curvature with strong lenses and complementary probes
Temporal Equivalence Principle: A Blind-Prediction Residual Test in Multiply-Imaged Supernovae — Gravitational lensing and time-delay cosmography tests of TEP using COSMOGRAIL, SH0ES, and H0LiCOW data, with blind-prediction residual analysis of multiply-imaged supernovae.
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