Proposes feeding seven 2D histograms of waveform parameters into ML algorithms alongside integrated charge images to better reject background in IACT observations.
Hillas, Cerenkov light images of EAS produced by primary gamma rays and by nuclei, Proc
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Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection
Proposes feeding seven 2D histograms of waveform parameters into ML algorithms alongside integrated charge images to better reject background in IACT observations.