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Evaluation of peak-fitting software for magnesium quantification through k0-instrumental neutron activation analysis
- Source :
- Nuclear Engineering and Technology, Vol 54, Iss 2, Pp 462-468 (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- The selection and effective utilization of peak-fitting software for conventional gamma-ray spectrum analysis is significant for accurate determination of the mass fraction of elements, particularly in complex peak regions. Majority of the peak-fitting programs can derive similar peak characteristics for singlet peaks, but very few programs can deconvolute multi-peaks in a complex region. The deconvolution of multi-peaks requires special peak-fitting functions, such as left and right-skew distributions. In the this study, 843.76 keV (27Mg) peak area from the complex region (840 keV–850 keV) determined and compared using four different peak-fitting programs, namely, GammaVision, Genie2000, HyperLab, and HyperGam. The 843.76 keV peak interfered with 841.63 keV (152mEu) and 846.81 keV (56Mn). The total Mg concentration was determined through k0-instrumental neutron activation analysis by applying the isotopic interference correction factor 27Al(n,p)27Mg through the simultaneous determination of Al concentration. HyperLab and HyperGam peak-fitting programs reported consistent peak areas, and resultant concentrations agreed with the certified values of matrix-certified reference materials.
- Subjects :
- Materials science
Magnesium
business.industry
TK9001-9401
Analytical chemistry
chemistry.chemical_element
Peak fitting
Peak-fitting programs
HyperGam
Interference (wave propagation)
Peak deconvolution
HyperLab
KayWin®
Software
Nuclear Energy and Engineering
chemistry
Nuclear engineering. Atomic power
Deconvolution
Spectrum analysis
Neutron activation analysis
business
Mass fraction
Subjects
Details
- Language :
- English
- ISSN :
- 17385733
- Volume :
- 54
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Nuclear Engineering and Technology
- Accession number :
- edsair.doi.dedup.....d10f1f805bd0eca05271284f454aea74