Artificial neural network algorithms for pulse shape discrimination and recovery of piled-up pulses in organic scintillators
We developed two neural-network (NN)-based algorithms (fully-connected neural network
(Fc-NN) and recurrent neural network (RNN)) to perform pulse shape discrimination (PSD)
and identification of piled-up pulses produced by organic scintillators, upon interaction with
neutrons and gamma rays. We tested the algorithms on measured and verification sets of
data and compared their classification performances to standard approaches. At a high
acquisition count rate (100,000 counts per second, cps), in the presence of a gamma-to …
(Fc-NN) and recurrent neural network (RNN)) to perform pulse shape discrimination (PSD)
and identification of piled-up pulses produced by organic scintillators, upon interaction with
neutrons and gamma rays. We tested the algorithms on measured and verification sets of
data and compared their classification performances to standard approaches. At a high
acquisition count rate (100,000 counts per second, cps), in the presence of a gamma-to …
以上显示的是最相近的搜索结果。 查看全部搜索结果