Multiple beta spectrum analysis based on spectrum fitting

Uk Jae Lee; Jun Woo Bae; Hee Reyoung Kim

doi:10.1007/s10967-017-5409-5

Multiple beta spectrum analysis based on spectrum fitting

Uk Jae Lee, Jun Woo Bae, Hee Reyoung Kim

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A method of separating beta spectra into each radionuclide spectrum was proposed in this study. Based on mathematical curve fits, the spectrum of each radionuclide was defined by using the maximum energy information and process to separate specific spectra from the whole spectrum. Information on ³²P, ⁹⁰Y, and ¹⁰⁶Rh radionuclides from the International Commission on Radiation Units and Measurements was used for applying the proposed method. A relative error of less than 2% was achieved with the application of the method.

Original language	English
Pages (from-to)	617-622
Number of pages	6
Journal	Journal of Radioanalytical and Nuclear Chemistry
Volume	314
Issue number	2
DOIs	https://doi.org/10.1007/s10967-017-5409-5
State	Published - Nov 1 2017
Externally published	Yes

Funding

Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP: Ministry of Science, ICT and Future Planning) (No. 2016M2B2B1945083) and NRF-22A20153413555.

Funders	Funder number
Korean government
Ministry of Science, ICT and Future Planning	NRF-22A20153413555, 2016M2B2B1945083
National Research Foundation of Korea
Ministry of Science ICT and Future Planning

Keywords

Beta spectrum analysis
Curve fitting
Identifying radionuclides

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10.1007/s10967-017-5409-5

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abstract = "A method of separating beta spectra into each radionuclide spectrum was proposed in this study. Based on mathematical curve fits, the spectrum of each radionuclide was defined by using the maximum energy information and process to separate specific spectra from the whole spectrum. Information on 32P, 90Y, and 106Rh radionuclides from the International Commission on Radiation Units and Measurements was used for applying the proposed method. A relative error of less than 2% was achieved with the application of the method.",

keywords = "Beta spectrum analysis, Curve fitting, Identifying radionuclides",

author = "Lee, {Uk Jae} and Bae, {Jun Woo} and Kim, {Hee Reyoung}",

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doi = "10.1007/s10967-017-5409-5",

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AU - Kim, Hee Reyoung

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N2 - A method of separating beta spectra into each radionuclide spectrum was proposed in this study. Based on mathematical curve fits, the spectrum of each radionuclide was defined by using the maximum energy information and process to separate specific spectra from the whole spectrum. Information on 32P, 90Y, and 106Rh radionuclides from the International Commission on Radiation Units and Measurements was used for applying the proposed method. A relative error of less than 2% was achieved with the application of the method.

AB - A method of separating beta spectra into each radionuclide spectrum was proposed in this study. Based on mathematical curve fits, the spectrum of each radionuclide was defined by using the maximum energy information and process to separate specific spectra from the whole spectrum. Information on 32P, 90Y, and 106Rh radionuclides from the International Commission on Radiation Units and Measurements was used for applying the proposed method. A relative error of less than 2% was achieved with the application of the method.

KW - Beta spectrum analysis

KW - Curve fitting

KW - Identifying radionuclides

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JF - Journal of Radioanalytical and Nuclear Chemistry

IS - 2

ER -

Multiple beta spectrum analysis based on spectrum fitting

Abstract

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Keywords

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