Cite
============

``GaiaAlertsPy`` was initially developed to search for stellar variability in the Gaia photometric science alerts. 
It was the primary tool used in the discovery of `Gaia17bpp (Tzanidakis et al. 2023) <https://iopscience.iop.org/article/10.3847/1538-4357/aceda7>`_.
``GaiaAlertsPy`` would not be possible without the support of many other open-source projects, including `Astropy <https://www.astropy.org/>`_, `Pandas <https://pandas.pydata.org/>`_, `NumPy <https://numpy.org/>`_, and `Matplotlib <https://matplotlib.org/>`_.
If you use `GaiaAlertsPy` in a scientific publication or data exploration workflows we ask that you please cite it and its dependencies.


If you use ``GaiaAlertsPy`` in your work, please cite and acknowledge the following works: 
    1. `Gaia Early Data Release 3. Gaia photometric science alerts <https://ui.adsabs.harvard.edu/abs/2021A%26A...652A..76H/abstract>`_
    2. `Gaia17bpp: A Giant Star with the Deepest and Longest Known Dimming Event <https://ui.adsabs.harvard.edu/abs/2023ApJ...955...69T/abstract>`_
    3. This research made use of GaiaAlertsPy. In addition, we acknowledge ESA Gaia, DPAC and the Photometric Science Alerts Team

For more questions or suggestions, please contact the author `Andy Tzanidakis <mailto:atzanida@uw.edu>`_.