Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach
Arsenii Gavrikov,
Yury Malyshkin,
Fedor Ratnikov
Abstract:Large scale detectors consisting of a liquid scintillator (LS) target surrounded by an array of photo-multiplier tubes (PMT) are widely used in modern neutrino experiments: Borexino, KamLAND, Daya Bay, Double Chooz, RENO, and upcoming JUNO with its satellite detector TAO. Such apparatuses are able to measure neutrino energy, which can be derived from the amount of light and its spatial and temporal distribution over PMT-channels. However, achieving a fine energy resolution in large scale detectors is challengi… Show more
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