most citedDeep-Learning-Based Kinematic Reconstruction for DUNE

6 citations · 6 across the 1 of their papers we have counts for

collaborators

2 papers

physics.ins-det2020★ 6 cited

Deep-Learning-Based Kinematic Reconstruction for DUNE

Junze Liu, Jordan Ott, Julian Collado +4

In the framework of three-active-neutrino mixing, the charge parity phase, the neutrino mass ordering, and the octant of remain unknown. The Deep Underground Neutrino Expe…

physics.ins-det2020

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Dawit Belayneh, Federico Carminati, Amir Farbin +13

Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced i…