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PDT (Photometric Detrending Algorithm) aims to remove systematic trends in the light curves. For details about the algorithm, see Kim et al. 2009.
The latest PDT uses Birch to find highly-correlated light curves rather than
Hierarchical clustering that Kim et al. 2009 originally used. This is mainly because 1) Birch is scalable (i.e. applicable to large dataset), and 2) Birch does not need to set the number of clusters.
The following image shows an example light curve before (top) and after (bottom) the detrending. As the figure clearly shows, PDT successfully removed the trend.
For details about the package, visit the GitHub repository.
If you use PDT in scientific publication, we would appreciate citations to Kim et al. 2009 and also to the GitHub repository.
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