EzTaoX: AGN light curve modeling with Gauassian Process

EzTaoX is a flexible framework for multi-wavelength and multi-survey AGN light-curve modeling using Gaussian Processes (GPs). Built on top of tinygp---a scalable GP library in JAX---EzTaoX is fast, modular, and integrates seamlessly with the JAX ecosystem for statistical inference and modern machine learning.

This repository contains the source code for the EzTaoX Python package. A few usage examples are provided in the tutorials folder.

You can install EzTaoX directly via:

pip install git+https://github.com/ywx649999311/EzTaoX.git

A companion paper, “Scalable and Robust Multiband Modeling of AGN Light Curves in Rubin-LSST,” which introduces EzTaoX and demonstrates its performance on both simulated and real AGN light curves, has been submitted to The Astrophysical Journal (ApJ).