Compton sequence estimation based on the deep learning method

Determining the sequence of Compton scattering and photoelectric absorption events for a camera system through timing information is difficult due to finite resolution radiation detectors. The conventional method compares energies two sequential determines order these events. deep learning can estimate followed by effect better than because it based on both energy positional interaction. initial models position information, input data are then processed in nodes hidden layers. In this study, performance estimation methods were investigated. accuracies comparison compared. weights connecting each node analyzed evaluate effects determine sequence.