NDLI: Application of support vector regression in removing Poisson fluctuation from pulse height gamma-ray spectra

Content Provider	IEEE Xplore Digital Library
Author	Alamaniotis, M. Hernandez, H. Jevremovic, T.
Copyright Year	2013
Description	Author affiliation: Nucl. Eng. Program, Univ. of Utah, Salt Lake City, UT, USA (Alamaniotis, M.; Hernandez, H.; Jevremovic, T.)
Abstract	Analysis of pulse height gamma-ray signals is crucial in a variety of applications regarding safeguards and homeland security. Because of the inherent random nature of radiation measurements, the spectra obtained from gamma-ray sources exhibit a high variance that can be modeled as Poisson fluctuation. This variance imposes serious difficulties to spectrum analysis and isotope identification algorithms. To that end, artificial intelligence offers a variety of tools for automated, accurate, and the fast processing of gamma-ray signals. This paper discusses the use of a support vector regression (SVR) based methodology for removing Poisson fluctuation from pulse height radiation spectra. The proposed methodology utilizes an interval based smoothing of the spectrum and subsequently suppresses the variance. Methodology performance is tested on gamma-ray spectra taken with a low-resolution sodium iodide detector having a length of 1024 bins. Furthermore, this SVR technique is benchmarked against the 3-point and 7-point simple moving average methods. The results of this benchmarking demonstrate the effectiveness of the proposed methodology in removing Poisson fluctuation over the other methods tested.
Starting Page	1
Ending Page	4
File Size	285126
Page Count	4
File Format	PDF
e-ISBN	9781479907717
DOI	10.1109/IISA.2013.6623695
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Fluctuations Smoothing methods Smoothing Poisson fluctuation Gamma-rays Pulse height gamma-ray spectra Detectors Support vector regression Kernel Isotopes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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