Proposes feeding seven 2D histograms of waveform parameters into ML algorithms alongside integrated charge images to better reject background in IACT observations.
Shi et al., Convolutional LSTM network: A machine learning approach for precipitation nowcasting, in the proceedings of Advances in Neural Information Processing Systems 28 (NIPS
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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.