Title: Digital filter and clustering algorithms for improving energy resolution of CdZnTe detectors

Authors: Noha Shaaban

Addresses: Department of Nuclear Safeguards and Physical Protection, NCNSRC, The Egyptian Atomic Energy Authority, P.O. Box 7551, Nasr City 11762, Cairo, Egypt

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.

Keywords: FFT; fast Fourier transform; digital filter; clustering; DSP; digital signal processing; semiconductors; CZT detectors; cadmium zinc telluride; energy resolution; signal shape variations.

DOI: 10.1504/IJSISE.2011.043777

International Journal of Signal and Imaging Systems Engineering, 2011 Vol.4 No.3, pp.189 - 194

Received: 28 Oct 2010
Accepted: 04 Apr 2011
Published online: 13 Mar 2015 *

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