Improved energy reconstruction in NOvA with regression convolutional neural networks

@article{Baldi2019ImprovedER,
  title={Improved energy reconstruction in NOvA with regression convolutional neural networks},
  author={Pierre Baldi and Jianming Bian and Lars Hertel and Lingge Li},
  journal={Physical Review D},
  year={2019}
}
In neutrino experiments, neutrino energy reconstruction is crucial because neutrino oscillations and differential cross-sections are functions of neutrino energy. It is also challenging due to the complexity in the detector response and kinematics of final state particles. We propose a regression Convolutional Neural Network (CNN) based method to reconstruct electron neutrino energy and electron energy in the NOvA neutrino experiment. We demonstrate that with raw detector pixel inputs, a… Expand
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