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)

See demo.ipynb for usage.

⚠️ Warning

This repository is no longer actively maintained.
Please consider using EzTaoX instead.

Citation:

If you make use of this code, please cite

@ARTICLE{Burke2021,
       author = {{Burke}, Colin J. and {Shen}, Yue and {Blaes}, Omer and {Gammie}, Charles F. and {Horne}, Keith and {Jiang}, Yan-Fei and {Liu}, Xin and {McHardy}, Ian M. and {Morgan}, Christopher W. and {Scaringi}, Simone and {Yang}, Qian},
        title = "{A characteristic optical variability time scale in astrophysical accretion disks}",
      journal = {Science},
     keywords = {ASTRONOMY, Astrophysics - Astrophysics of Galaxies, Astrophysics - High Energy Astrophysical Phenomena},
         year = 2021,
        month = aug,
       volume = {373},
       number = {6556},
        pages = {789-792},
          doi = {10.1126/science.abg9933},
archivePrefix = {arXiv},
       eprint = {2108.05389},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021Sci...373..789B},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Setup:

Clone this repository, then:

pip install -r requirements.txt