Light field geometry estimator for plenoptic cameras
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Updated
Mar 11, 2025 - Python
Light field geometry estimator for plenoptic cameras
Gravitational microlensing classification engine using machine learning.
Implementation of automatic differentiation in VBozza's BinaryLensing
microJAX: A GPU-accelerated differentiable microlensing modeling framework
Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL
muLAn: MICROlensing Analysis software
The goal of this project is to create an all-encompassing collection of Jupyter notebooks—your trusty companions for engaging exercises related to microlensing. Through these notebooks, the insights and experiences of microlensing elders can light your path as you embark on your journey of discovery and exploration through scientific research.
Real-time classification model for the Nancy Grace Roman Space Telescope.
Code to provide approximate magnification probability distributions under microlensing by compact objects such as stars or PBHs of strongly lensed stars.
Code for "Predicting High Magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks"
Submission tool for the 2nd Roman microlensing data challenge
Tools for simulating gravitational microlensing events with single, binary, and triple lens systems. This package is under active development.
This project is not well tested, or thoroughly vetted. Use with extreme care.
Implementation of the Witt (1993) method to compute gravitational microlensing light curves for an ensemble of point masses with shear
A fortran program based on FEM, it recovers LD profile of distant stars from gravitational microlensing light curves
Anomaly detection for Microlensing Single lens fitters.
A working reference on gravitational-microlensing exoplanet detection: the Einstein radius and magnification derivations, worked numerical examples, real detection statistics, and an interactive calculator built on the actual equations.
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