algebraic structures 1BBGKY hierarchy 1collective neutrino oscillations 1core-collapse supernova 1matter density fluctuations 1mean-field approximation 1neutrino flavor evolution 1quantum many-body methods 1solar neutrinos 1statistical data assimilation 1su(n) Hamiltonian 1
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physics.data-an2026
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…
physics.data-an2025
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,…