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Noise reduction in prompt gamma spectra acquired in short times
- Issue Date
- May-2007
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- prompt gamma-ray neutron activation analysis (PGNAA); gamma spectra; principal component analysis (PCA); noise reduction; signal-to-noise (S/N)
- Citation
- NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, v.574, no.2, pp 272 - 279
- Pages
- 8
- Journal Title
- NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
- Volume
- 574
- Number
- 2
- Start Page
- 272
- End Page
- 279
- ISSN
- 0168-9002
1872-9576
- Abstract
- Principal component analysis was applied for a noise reduction in prompt gamma spectra, especially acquired in short times, with the aim of improving signal-to-noise ratio. After the noise reduction, relevant information was preserved in the models while discarding much of the noise, and the signal-to-noise ratio was enhanced in the noisy prompt gamma spectra measured for 20 s. History data, which has multi elements and accurate peak positions of interest with a long enough measurement time, should be prepared for an effective noise reduction. (C) 2007 Elsevier B.V. All rights reserved.
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