PDT: Photometric DeTrending Algorithm Using Machine Learning

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Ada Coda
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PDT: Photometric DeTrending Algorithm Using Machine Learning

Post by Ada Coda » Mon May 30, 2016 7:53 pm

PDT: Photometric DeTrending Algorithm Using Machine Learning

Abstract: PDT removes systematic trends in light curves. It finds clusters of light curves that are highly correlated using machine learning, constructs one master trend per cluster and detrends an individual light curve using the constructed master trends by minimizing residuals while constraining coefficients to be positive.

Credit: Kim, Dae-Won

Site: https://github.com/dwkim78/pdtrend
https://ui.adsabs.harvard.edu/abs/2009MNRAS.397..558K

Bibcode: 2016ascl.soft05008K

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2009MNRAS.397..558K, https://github.com/dwkim78/pdtrend

ID: ascl:1605.008
Last edited by Ada Coda on Sat Aug 29, 2020 6:21 pm, edited 1 time in total.
Reason: Updated code entry.
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