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Efficient AGN light curve modeling and parameter estimation using celerite

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Estimating the DRW timescale in AGN light curves using celerite

Author: Colin J. Burke, University of Illinois at Urbana-Champaign

This repository is intended to be a simple resource for modeling AGN light curves using celerite-based gaussian processes. This code is easy to install and ~10x faster than carma_pack. Only a few lines of code are required to fit each light curve. This package is particularly useful for efficiently extracting the DRW timescale parameter τ_DRW:

fit_drw(x*u.day, y*u.mag, yerr*u.mag)

example

See demo.ipynb for usage.

Setup:

Clone this repository, then:

pip install -r requirements.txt

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Efficient AGN light curve modeling and parameter estimation using celerite

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