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[ascl:1703.010] TransitSOM: Self-Organizing Map for Kepler and K2 transits

A self-organizing map (SOM) can be used to identify planetary candidates from Kepler and K2 datasets with accuracies near 90% in distinguishing known Kepler planets from false positives. TransitSOM classifies a Kepler or K2 lightcurve using a self-organizing map (SOM) created and pre-trained using PyMVPA (ascl:1703.009). It includes functions for users to create their own SOMs.

Code site:
https://github.com/DJArmstrong/TransitSOM
Appears in:
http://adsabs.harvard.edu/abs/2017MNRAS.465.2634A
Bibcode:
2017ascl.soft03010A

ascl:1703.010
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