4 papers
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…
A prototype reactor-antineutrino detector based on Li-doped pulse-shaping-discriminating plastic scintillator
O. Benevides Rodrigues, E. P. Bernard, N. S. Bowden +26
An aboveground 60-kg reactor-antineutrino detector prototype, comprised of a 2-dimensional array of 36 Li-doped pulse shape sensitive plastic scintillator bars, is described.…
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,…
Nonfuel Antineutrino Contributions in the High Flux Isotope Reactor
A. B. Balantekin, H. R. Band, C. D. Bass +53
Reactor neutrino experiments have seen major improvements in precision in recent years. With the experimental uncertainties becoming lower than those from theory, carefully conside…