Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks
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Updated
Sep 18, 2024 - Jupyter Notebook
Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks
Code for "Predicting High Magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks"
code to calculate the critical curves and caustics of micro-lensing star fields
Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
Simone La Porta's Master thesis in gravitational lensing with applications of automatic differentiation @ Alma Mater Studiorum - Università di Bologna
Gravitational microlensing classification engine using machine learning
A fortran program based on FEM, it recovers LD profile of distant stars from gravitational microlensing light curves
Gravitational microlensing
Light field geometry estimator for plenoptic cameras
python implementation to compute images of gravitational microlensed circular sources and light curves for an ensemble of point masses with shear.
Implementation of the Witt (1993) method to compute gravitational microlensing light curves for an ensemble of point masses with shear
muLAn: MICROlensing Analysis software
Open source implementation of the analytical method by Witt (1990,1991) in gravitational microlensing to find the locations of critical curves and caustics for an abritrary number of stars.
Anomaly detection for Microlensing Single lens fitters.
The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL
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