K-mean clustering algorithm for processing signals from compound semiconductor detectors

摘要

The K-mean clustering algorithm was employed for processing signal waveforms from TIBr detectors. The signal waveforms were classified based on its shape reflecting the charge collection process in the detector. The classified signal waveforms were processed individually to suppress the pulse height variation of signals due to the charge collection loss. The obtained energy resolution of a ~137Cs spectrum measured with a 0.5 mm thick TIBr detector was 1.3% FWHM by employing 500 clusters.