Search Results for author: Benjamin Jargowsky

Found 1 papers, 0 papers with code

Deep-Learning-Based Kinematic Reconstruction for DUNE

no code implementations11 Dec 2020 Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi

To precisely reconstruct these kinematic characteristics of detected interactions at DUNE, we have developed and will present two CNN-based methods, 2-D and 3-D, for the reconstruction of final state particle direction and energy, as well as neutrino energy.

Cannot find the paper you are looking for? You can Submit a new open access paper.