3 papers
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…
hep-ex2025
Final Search for Short-Baseline Neutrino Oscillations with the PROSPECT-I Detector at HFIR
M. Andriamirado, B. Balantekin, C. D. Bass +44
The PROSPECT experiment is designed to perform precise searches for antineutrino disappearance at short distances (7 - 9~m) from compact nuclear reactor cores. This Letter reports…
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,…