Depth of Interaction Determination Technique Based on Principal Component Analysis

This paper presents a Principal Component Analysis (PCA)-based pulse shape discrimination (PSD) algorithm to be used in scintillation pulsesdiscrimination. This algorithm is applied to a data set of LSO and LuYAP detectors. The comparison between PCA algorithm and the recent algorithms like FFT-and wavelet-based discrimination showed that PCA algorithm gives thePSD efficiency of 99.46% while recent discrimination techniques depending on FFT and wavelet give 99.3% and 97.18 % respectively. The PCA-based algorithm avoids difficulty of FFT computation complexity and gives efficiency greater than FFT-based algorithm. Moreover, PCA-based algorithm is moreefficient than a recently proposed wavelet-based algorithm.