Journal article
A distribution-free test for anomalous gamma-ray spectra
Radiation measurements, Vol.63, pp.18-25
04/2014
DOI: 10.1016/j.radmeas.2014.02.003
Abstract
Gamma-ray spectra are increasingly acquired in monitoring cross-border traffic, or in an area search for lost or orphan special nuclear material (SNM). The signal in such data is generally weak, resulting in poorly resolved spectra, thereby making it hard to detect the presence of SNM. We develop a new test for detecting anomalous spectra by characterizing the complete shape change in a spectrum from background radiation; the proposed method may serve as a tripwire for routine screening for SNM. We show that, with increasing detection time, the limiting distribution of the test is given by some functional of the Brownian bridge. The efficacy of the proposed method is illustrated by simulations. •We develop a new non-parametric test for detecting anomalous gamma-ray spectra.•The proposed test has good empirical power for detecting weak signals.•It can serve as an effective tripwire for invoking more thorough scrutiny of the source.
Details
- Title: Subtitle
- A distribution-free test for anomalous gamma-ray spectra
- Creators
- Kung-sik Chan - Department of Statistics and Actuarial Science, The University of Iowa, Iowa City, IA 52242, United StatesJinzheng Li - Department of Statistics and Actuarial Science, The University of Iowa, Iowa City, IA 52242, United StatesWilliam Eichinger - Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, IA 52242, United StatesEr-Wei Bai - Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- Radiation measurements, Vol.63, pp.18-25
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.radmeas.2014.02.003
- ISSN
- 1350-4487
- eISSN
- 1879-0925
- Language
- English
- Date published
- 04/2014
- Academic Unit
- Civil and Environmental Engineering; Statistics and Actuarial Science; Electrical and Computer Engineering; Radiology
- Record Identifier
- 9983985848802771
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