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Photometric Detrending Algorithm

Project description

PDT (Photometric DeTrending Algorithm Using Machine Learning) aims to remove systematic trends in the light curves. For details about the algorithm, see [Kim et al. 2009](http://adsabs.harvard.edu/abs/2009MNRAS.397..558K). In brief, PDT finds clusters of light curves that are highly correlated using machine learning, construct one master trend per cluster and detrend an individual light curve using the constructed master trends by minimizing residuals while constraining coefficients to be positive. For details, visit the GitHub repository (https://github.com/dwkim78/pdtrend)

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0.2.3

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0.2.2

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0.2

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0.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
pdtrend-0.2.3.tar.gz (3.5 MB) Copy SHA256 hash SHA256 Source None Mar 14, 2017

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