824 citations · 2.3k across the 20 of their papers we have counts for
20 papers
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
DUNE Collaboration, A. Abed Abud, B. Abi +1221
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the techn…
Antineutrino Energy Spectrum Unfolding Based on the Daya Bay Measurement and Its Applications
Daya Bay collaboration, F. P. An, A. B. Balantekin +182
The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inv…
Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector
Daya Bay, JUNO collaborations, : +646
To maximize the light yield of the liquid scintillator (LS) for the Jiangmen Underground Neutrino Observatory (JUNO), a 20 t LS sample was produced in a pilot plant at Daya Bay. Th…
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
DUNE Collaboration, B. Abi, R. Acciarri +968
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure -violation in the neutrino sector as part of a wider physics…
Study of the wave packet treatment of neutrino oscillation at Daya Bay
F. P. An, A. B. Balantekin, H. R. Band +215
The disappearance of reactor observed by the Daya Bay experiment is examined in the framework of a model in which the neutrino is described by a wave packet with a relati…
Neutrino Oscillation Physics Potential of the T2K Experiment
K. Abe, J. Adam, H. Aihara +342
The observation of the recent electron neutrino appearance in a muon neutrino beam and the high-precision measurement of the mixing angle have led to a re-evaluation of th…