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.
Cite
@article{arxiv.1811.05875,
title = {WAVE: Machine Learning for Full-Waveform Time-Of-Flight Detectors},
author = {Glenn R. Jocher and Kurtis Nishimura and John Koblanski and Viacheslav A. Li},
journal= {arXiv preprint arXiv:1811.05875},
year = {2018}
}
Comments
6 pages, 11 figures. Open source code: https://github.com/ultralytics/wave