Papers › WAVE: Machine Learning for Full-Waveform Time-Of-Flight Detectors
WAVE: Machine Learning for Full-Waveform Time-Of-Flight Detectors
Glenn R. Jocher, Kurtis Nishimura, John Koblanski, Viacheslav A. Li
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We propose a WAveform Vector Exploitation (WAVE) deep neural network for full-waveform Time-Of-Flight (TOF) physics detectors, and evaluate its performance against traditional reconstruction techniques via Monte Carlo study of a small plastic-scintillator scatter camera. Ultralytics LLC (www.ultralytics.com) provides WAVE freely under the open source GPL-3.0 license at https://github.com/ultralytics/wave.
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