Using a deep CNN and Fourier frequency analysis on calorimeter data, the KOTO experiment suppressed neutron background by a factor of 5.6×10^5 while maintaining 70% efficiency for the signal decay.
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Suppression of Neutron Background using Deep Neural Network and Fourier Frequency Analysis at the KOTO Experiment
Using a deep CNN and Fourier frequency analysis on calorimeter data, the KOTO experiment suppressed neutron background by a factor of 5.6×10^5 while maintaining 70% efficiency for the signal decay.