Digital filter and clustering algorithms for improving energy resolution of CdZnTe detectors
by Noha Shaaban
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 4, No. 3, 2011

Abstract: CdZnTe (CZT) detectors are promising detectors especially for portable gamma spectroscopy and safeguards applications. However, energy resolution of CZT is suffering from poor mobilities of charge carriers, which result in a large signal shape variations depending on the interaction position inside the detector. Clustering technique was used to classify and independently treat these shape variations. Before the classification process, a digital filter was used to remove noises from CZT signals. The filtered signals were classified using Maxi-Mini Distance algorithm. Much improvement was obtained in the energy resolution of the CZT after the classification of the filtered signals than the unfiltered signal.

Online publication date: Fri, 13-Mar-2015

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