TY  - GEN 
AU  - Abratenko, P.
AU  - García Gámez, Diego
AU  - Microboone Collaboration
PY  - 2024
UR  - https://hdl.handle.net/10481/102417
AB  - We present a deep learning-based method for estimating the neutrino energy of charged-current
neutrino-argon interactions. We employ a recurrent neural network (RNN) architecture for neutrino
energy estimation in the MicroBooNE experiment, utilizing...
LA  - eng
PB  - American Physical Society
TI  - Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE
DO  - 10.1103/PhysRevD.110.092010
ER  -