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Analysis of SNIP Algorithm for Background Estimation in Spectra Measured with LaBr<sub>3</sub>: Ce Detectors

Research Authors
Mohamed Omer, Hani Negm, Ryota Kinjo, Yong-Woon Choi, Kyohei Yoshida, Torgasin Konstantin, Marie Shibata, Kyohei Shimahashi, Hidekazu Imon, Heishun Zen, Toshitada Hori, Toshiteru Kii, Kai Masuda, Hideaki Ohgaki
Research Abstract

LaBr3:Ce scintillating detectors exhibit excellent properties for γ-ray spectroscopy such as high energy resolution and operation under room temperature as well as MHz counting rates. On the other hand, sever background radiations exist due to the internal contamination of radioactive materials that are very difficult to be avoided during the manufacture. To decrease the effect of these background levels, some analytical techniques, e.g. background subtraction, should be applied. In the present work, we investigate the efficiency of the sensitive nonlinear iterative clipping peak (SNIP) method for background estimation and subtraction. Optimization of the clipping window is discussed for range of energy up to 3 MeV. Enhancement of energy resolution up to 50% was obtained.

Research Department
Research Journal
Zero-Carbon Energy Kyoto 2012
Research Member
Research Publisher
Springer
Research Rank
1
Research Vol
27
Research Website
http://link.springer.com/book/10.1007/978-4-431-54264-3/page/1
Research Year
2013
Research Pages
245-252