Depth of interaction determination technique based on principal component analysis

Abstract EN

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.