A gravitational lensing simulator for the machine learning era.
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Updated
May 9, 2024 - Python
A gravitational lensing simulator for the machine learning era.
Planck 2018 lensing pipeline
Code for Anisotropies in the Microwave Background
multi-purpose lens modeling software package
JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.
PyAutoLens: Open Source Strong Gravitational Lensing
Code to measure the Weak Lensing Signal from objects identified in the redMaGiC Dataset.
Standard for strong gravitational lensing analyses
Modeling and inversion of gravitational lenses through a Python interface
Simone La Porta's Master thesis in gravitational lensing with applications of automatic differentiation @ Alma Mater Studiorum - Università di Bologna
Gravitational lens environment modeling using Photo-z and Mstar PDFs with various systematics
Predicting strong gravitational lens wavelength information in JWST NIRcam imaging as observed by Euclid VIS/NISP
Tesis de Maestría en Astronomía. Uso de un modelo de microlentes gravitacionales para detectar exoplanetas.
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.
Streamlit app that performs binary and multiclass classification of gravitational lensing images along with dark matter halo mass prediction.
Code developed by me and my supervisor, V. Salzano, to compute lensing of GW.
Zapp through GLASS lens models
A pipeline for versatile strong lens sample simulations
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