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Optimization of statistical methods for HpGe gamma-ray spectrometer used in wide count rate ranges

Articolo
Data di Pubblicazione:
2016
Abstract:
The need to perform gamma-ray measurements with HpGe detectors is a common technique in many fields such as nuclear physics, radiochemistry, nuclear medicine and neutron activation analysis. The use of HpGe detectors is chosen in situations where isotope identification is needed because of their excellent resolution. Our challenge is to obtain the "best" spectroscopy data possible in every measurement situation. "Best" is a combination of statistical (number of counts) and spectral quality (peak, width and position) over a wide range of counting rates. In this framework, we applied Bayesian methods and the Ellipsoidal Nested Sampling (a multidimensional integration technique) to study the most likely distribution for the shape of HpGe spectra. In treating these experiments, the prior information suggests to model the likelihood function with a product of Poisson distributions. We present the efforts that have been done in order to optimize the statistical methods to HpGe detector outputs with the aim to evaluate to a better order of precision the detector efficiency, the absolute measured activity and the spectra background.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Detectors; Model selection; Statistical methods; Instrumentation; Nuclear and High Energy Physics
Elenco autori:
Gervino, G.; Mana, G.; Palmisano, C.
Autori di Ateneo:
GERVINO Gianpiero Renato
Link alla scheda completa:
https://iris.unito.it/handle/2318/1571306
Pubblicato in:
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT
Journal
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URL

http://www.sciencedirect.com/science/journal/01689002
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