WAVE: Machine Learning for Full-Waveform Time-Of-Flight Detectors
88 Citations•2018•
G. Jocher, K. Nishimura, J. Koblanski
arXiv: Instrumentation and Detectors
A WAveform Vector Exploitation deep neural network for full-waveform Time-Of-Flight (TOF) physics detectors is proposed and its performance against traditional reconstruction techniques is evaluated via Monte Carlo study of a small plastic-scintillator scatter camera.
Abstract
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 this https URL