2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
New Deep Learning Data Analysis Method for PROSPECT using GAPE: Genetic Algorithm Powered Evolution
M. Adriamirado, A. B. Balantekin, C. Bass +40
We propose a genetic algorithm powered evolution (GAPE) method to create deep learning solutions for energy and position estimation for reactor antineutrino interactions in the Pre…
Machine Learning for Single-Ended Event Reconstruction in PROSPECT Experiment
M. Andriamirado, A. B. Balantekin, C. D. Bass +43
The Precision Reactor Oscillation and Spectrum Experiment, PROSPECT, was a segmented antineutrino detector that successfully operated at the High Flux Isotope Reactor in Oak Ridge,…
DUNE Software and Computing Research and Development
DUNE Collaboration, A. Abed Abud, R. Acciarri +1340
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase s…