Title :
On a sparse regression algorithm for activity estimation in Gamma spectrometry
Author :
Trigano, T. ; Sepulcre, Y. ; Tal, M. ; Mashiach, Y.
Author_Institution :
Dept. of Electr. Eng., SCE, Ashdod, Israel
Abstract :
The aim of Gamma spectrometry is to identify radioactive sources and their activities by means of the analysis of the photon energy received by a detector. When the activity of the source is high, a physical phenomenon known as pileup distorts the energy spectra and introduces a significant bias to the standard estimators of the source activities. We provide in this paper a fast algorithm which significantly improves the precision of the counting rate activity, based on a sparse representation of the time signal. Experiments on simulations and real datasets show the efficiency of the proposed approach.
Keywords :
gamma-ray spectra; regression analysis; Gamma spectrometry; activity estimation; counting rate activity; photon energy; radioactive sources; sparse regression algorithm; sparse representation; Detectors; Dictionaries; Estimation; Photonics; Real time systems; Shape; Spectroscopy;
Conference_Titel :
Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of
Conference_Location :
Eliat
Print_ISBN :
978-1-4244-8681-6
DOI :
10.1109/EEEI.2010.5661973
