Gabriel Perdue
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Neutrino Physics Research, Quantum Computing Algorithms and Architecture, Astrophysics and Cosmic Phenomena, Dark Matter and Cosmic Phenomena
Most-Cited Works
- → Machine Learning in High Energy Physics Community White Paper(2018)224 cited
- → Measurement of Muon Neutrino Quasielastic Scattering on a Hydrocarbon Target atEν∼3.5 GeV(2013)187 cited
- → The GENIE Neutrino Monte Carlo Generator: Physics and User Manual(2015)172 cited
- → Measurement of Muon Antineutrino Quasielastic Scattering on a Hydrocarbon Target atEν∼3.5 GeV(2013)159 cited
- → Identification of Nuclear Effects in Neutrino-Carbon Interactions at Low Three-Momentum Transfer(2016)133 cited
- → Experimental study of the decayKL0→π0νν¯(2010)112 cited
- → Quantum computing for neutrino-nucleus scattering(2020)99 cited
- → Neutrino-nucleon cross-section model tuning in GENIE v3(2021)84 cited
- → Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors(2020)83 cited
- → Measurement of Coherent Production ofπ±in Neutrino and Antineutrino Beams on Carbon fromEνof 1.5 to 20 GeV(2014)79 cited