A deep neural network classifier separates muons from hadron punch-through and weak-decay backgrounds in STAR's MTD better than traditional 1D cuts, improving the phi and psi(2S) signals in real p+p data.
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Muon Identification Using Deep Neural Networks with the Muon Telescope Detector at STAR
A deep neural network classifier separates muons from hadron punch-through and weak-decay backgrounds in STAR's MTD better than traditional 1D cuts, improving the phi and psi(2S) signals in real p+p data.