MA Acero - Cornell University, 2020 - repositorio.uniatlantico.edu.co
… DUNEConvolutional Visual Network (CVN) classifies neutrinointeractions in the DUNE FD … In general terms it is a convolutionalneuralnetwork (CNN) [20]. The main feature of CNNs is …
… The four DUNE FD modules may not all have identical designs, but they will all produce similar images of the neutrinointeractions, so the … DUNE simulation and reconstruction …
… The four DUNE FD modules may not all have identical designs, but they will all produce similar images of the neutrinointeractions, so the … DUNE simulation and reconstruction …
… The four DUNE FD modules may not all have identical designs, but they will all produce similar images of the neutrinointeractions, so the … DUNE simulation and reconstruction …
… The four DUNE FD modules may not all have identical designs, but they will all produce similar images of the neutrinointeractions, so the … DUNE simulation and reconstruction …
A Aurisano, A Radovic, D Rocco… - Journal of …, 2016 - iopscience.iop.org
… deep learning, we outline a specific application to the NOvA neutrinodetector. This algorithm, CVN (… physics (HEP) is the correct categorization of the particle interactions recorded in our …
… DUNE will consist of a Near and a FarDetector complex, ∼ … Argon detector that aims at imaging neutrinointeractions with … A convolutionalneuralnetwork algorithm is implemented to …
… In this work, neutrinointeractions have been generated using … The classification performances are evaluated in terms of … , selected by the convolutionalneuralnetwork algorithm, are …
… fully simulated neutrinointeraction events in DUNEfardetector modules; the DUNE computing … For some aspects – for example, beamline modeling and GeV-scale neutrinointeraction …