Source code for the democratic detrender.
See the documentation for installation instructions, tutorials, and the API.
To install, you can run: pip install git+https://github.com/dyahalomi/democratic_detrender
If you want to use the problem time identifying module in Jupyter Notebook you'll want to: pip install PyQt5
And then in your notebook call: %matplotlib qt
For figure output, you'll want to switch back to: %matplotlib inline
If you use this code in your research, please cite Yahalomi, Kipping, et al. 2026 ADS / arXiv:
@ARTICLE{2026ApJS..283...51Y,
author = {{Yahalomi}, Daniel A. and {Kipping}, David and {Solano-Oropeza}, Diana and {Li}, Madison and {Poddar}, Avishi and {Zhang}, Xunhe (Andrew) and {Abaakil}, Yassine and {Cassese}, Ben and {Jennings}, Jeff and {Larsen}, Skylar and {Turner}, Jake D. and {Teachey}, Alex and {Liu}, Jiajing and {Sundai}, Farai and {Valaskovic}, Lila},
title = "{The democratic detrender: Ensemble-based Removal of the Nuisance Signal in Stellar Time-series Photometry}",
journal = {\apjs},
keywords = {Open source software, Transits, Astronomy data analysis, Astrostatistics, Stellar activity, 1866, 1711, 1858, 1882, 1580, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, Solar and Stellar Astrophysics},
year = 2026,
month = apr,
volume = {283},
number = {2},
eid = {51},
pages = {51},
doi = {10.3847/1538-4365/ae43c2},
archivePrefix = {arXiv}, eprint = {2411.09753}, primaryClass = {astro-ph.EP}, adsurl = {https://ui.adsabs.harvard.edu/abs/2026ApJS..283...51Y}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }