The invention discloses a method for identifying the type of incident
ray particles or the position of incident action based on the
pulse waveform screening of the
full waveform statistical characteristics, which includes using a
detector to collect a number of pulse waveforms of each type, recording the normalization of the collection The final
pulse waveform; for each type of
pulse waveform collected, the statistical characteristics of each sampling point are obtained; according to the statistical characteristics of each sampling point, the likelihood of characterizing the shape information of each type of pulse waveform is constructed The
function model performs pulse waveform discrimination to determine the type of particle or the position of action. The present invention directly starts from the statistical characteristics of the
full waveform, constructs a joint probability
density distribution model representing the shape characteristics of the pulse waveform, and then uses the maximum likelihood
estimation method to determine the pulse waveform type of the unknown type of waveform pulse to complete the pulse waveform screening. Compared with the existing technology, due to the use of the statistical characteristics of the
full waveform, it has stronger anti-
noise ability and stronger waveform discrimination ability, especially suitable for applications where there are many types of pulse waveforms and their respective shape characteristics are not significantly different Scenarios, the ability to discriminate pulse waveforms has been improved.