A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties

Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Frosio, Thomas [verfasserIn] Menaa, Nabil [verfasserIn] Bertreix, Philippe [verfasserIn] Rimlinger, Maeva [verfasserIn] Theis, Chris [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency

Übergeordnetes Werk:	Enthalten in: Applied radiation and isotopes - Amsterdam [u.a.] : Elsevier Science, 1993, 156
Übergeordnetes Werk:	volume:156

DOI / URN:	10.1016/j.apradiso.2019.108953

Katalog-ID:	ELV003560988

Internformat


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245	1	0	\|a A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
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520			\|a Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed.
650		4	\|a Gamma-spectroscopy
650		4	\|a Uncertainty quantification
650		4	\|a Uncertainty optimization
650		4	\|a Geometric model
650		4	\|a ISOCS/LabSOCS
650		4	\|a Hotspots
650		4	\|a Efficiency
700	1		\|a Menaa, Nabil \|e verfasserin \|4 aut
700	1		\|a Bertreix, Philippe \|e verfasserin \|4 aut
700	1		\|a Rimlinger, Maeva \|e verfasserin \|4 aut
700	1		\|a Theis, Chris \|e verfasserin \|4 aut
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936	b	k	\|a 33.19 \|j Theoretische Physik: Sonstiges
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Indexfelder

author_variant	t f tf n m nm p b pb m r mr c t ct
matchkey_str	article:18729800:2019----::nvlehiufrhotmztoadeutoogmapcrso
hierarchy_sort_str	2019
bklnumber	33.19 33.40 33.00
publishDate	2019
allfields	10.1016/j.apradiso.2019.108953 doi (DE-627)ELV003560988 (ELSEVIER)S0969-8043(19)30685-2 DE-627 ger DE-627 rda eng 530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl Frosio, Thomas verfasserin aut A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed. Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency Menaa, Nabil verfasserin aut Bertreix, Philippe verfasserin aut Rimlinger, Maeva verfasserin aut Theis, Chris verfasserin aut Enthalten in Applied radiation and isotopes Amsterdam [u.a.] : Elsevier Science, 1993 156 Online-Ressource (DE-627)306653958 (DE-600)1499873-7 (DE-576)081984502 1872-9800 nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-AST SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 33.19 Theoretische Physik: Sonstiges 33.40 Kernphysik 33.00 Physik: Allgemeines AR 156
spelling	10.1016/j.apradiso.2019.108953 doi (DE-627)ELV003560988 (ELSEVIER)S0969-8043(19)30685-2 DE-627 ger DE-627 rda eng 530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl Frosio, Thomas verfasserin aut A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed. Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency Menaa, Nabil verfasserin aut Bertreix, Philippe verfasserin aut Rimlinger, Maeva verfasserin aut Theis, Chris verfasserin aut Enthalten in Applied radiation and isotopes Amsterdam [u.a.] : Elsevier Science, 1993 156 Online-Ressource (DE-627)306653958 (DE-600)1499873-7 (DE-576)081984502 1872-9800 nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-AST SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 33.19 Theoretische Physik: Sonstiges 33.40 Kernphysik 33.00 Physik: Allgemeines AR 156
allfields_unstemmed	10.1016/j.apradiso.2019.108953 doi (DE-627)ELV003560988 (ELSEVIER)S0969-8043(19)30685-2 DE-627 ger DE-627 rda eng 530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl Frosio, Thomas verfasserin aut A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed. Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency Menaa, Nabil verfasserin aut Bertreix, Philippe verfasserin aut Rimlinger, Maeva verfasserin aut Theis, Chris verfasserin aut Enthalten in Applied radiation and isotopes Amsterdam [u.a.] : Elsevier Science, 1993 156 Online-Ressource (DE-627)306653958 (DE-600)1499873-7 (DE-576)081984502 1872-9800 nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-AST SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 33.19 Theoretische Physik: Sonstiges 33.40 Kernphysik 33.00 Physik: Allgemeines AR 156
allfieldsGer	10.1016/j.apradiso.2019.108953 doi (DE-627)ELV003560988 (ELSEVIER)S0969-8043(19)30685-2 DE-627 ger DE-627 rda eng 530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl Frosio, Thomas verfasserin aut A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed. Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency Menaa, Nabil verfasserin aut Bertreix, Philippe verfasserin aut Rimlinger, Maeva verfasserin aut Theis, Chris verfasserin aut Enthalten in Applied radiation and isotopes Amsterdam [u.a.] : Elsevier Science, 1993 156 Online-Ressource (DE-627)306653958 (DE-600)1499873-7 (DE-576)081984502 1872-9800 nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-AST SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 33.19 Theoretische Physik: Sonstiges 33.40 Kernphysik 33.00 Physik: Allgemeines AR 156
allfieldsSound	10.1016/j.apradiso.2019.108953 doi (DE-627)ELV003560988 (ELSEVIER)S0969-8043(19)30685-2 DE-627 ger DE-627 rda eng 530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl Frosio, Thomas verfasserin aut A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed. Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency Menaa, Nabil verfasserin aut Bertreix, Philippe verfasserin aut Rimlinger, Maeva verfasserin aut Theis, Chris verfasserin aut Enthalten in Applied radiation and isotopes Amsterdam [u.a.] : Elsevier Science, 1993 156 Online-Ressource (DE-627)306653958 (DE-600)1499873-7 (DE-576)081984502 1872-9800 nnns volume:156 GBV_USEFLAG_U SYSFLAG_U GBV_ELV FID-PHARM SSG-OLC-PHA SSG-OPC-AST SSG-OPC-GEO SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 33.19 Theoretische Physik: Sonstiges 33.40 Kernphysik 33.00 Physik: Allgemeines AR 156
language	English
source	Enthalten in Applied radiation and isotopes 156 volume:156
sourceStr	Enthalten in Applied radiation and isotopes 156 volume:156
format_phy_str_mv	Article
bklname	Theoretische Physik: Sonstiges Kernphysik Physik: Allgemeines
institution	findex.gbv.de
topic_facet	Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency
dewey-raw	530
isfreeaccess_bool	false
container_title	Applied radiation and isotopes
authorswithroles_txt_mv	Frosio, Thomas @@aut@@ Menaa, Nabil @@aut@@ Bertreix, Philippe @@aut@@ Rimlinger, Maeva @@aut@@ Theis, Chris @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	306653958
dewey-sort	3530
id	ELV003560988
language_de	englisch
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author	Frosio, Thomas
spellingShingle	Frosio, Thomas ddc 530 ssgn 15,3 fid PHARM bkl 33.19 bkl 33.40 bkl 33.00 misc Gamma-spectroscopy misc Uncertainty quantification misc Uncertainty optimization misc Geometric model misc ISOCS/LabSOCS misc Hotspots misc Efficiency A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
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topic_title	530 610 540 DE-600 15,3 ssgn PHARM DE-84 fid 33.19 bkl 33.40 bkl 33.00 bkl A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties Gamma-spectroscopy Uncertainty quantification Uncertainty optimization Geometric model ISOCS/LabSOCS Hotspots Efficiency
topic	ddc 530 ssgn 15,3 fid PHARM bkl 33.19 bkl 33.40 bkl 33.00 misc Gamma-spectroscopy misc Uncertainty quantification misc Uncertainty optimization misc Geometric model misc ISOCS/LabSOCS misc Hotspots misc Efficiency
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title	A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
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title_full	A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
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title_sort	a novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
title_auth	A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
abstract	Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed.
abstractGer	Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed.
abstract_unstemmed	Material activation can sometimes cause large heterogeneities in the distribution of radioactivity (hotspots). Moreover, the sample geometry parameters are not always well known. When performing gamma-spectroscopy to quantify the radionuclide inventory in activated materials, often predefined models are used to represent the sample geometry (dimensions, source-to-detector distance, material type) and their activity distribution, for efficiency calibration. This simplification causes uncertainties of the efficiency curves associated with the model and consequently, to the activity results. In this paper, we develop a new approach, based on ISOCS/LabSOCS to quantify and reduce uncertainties originating from the geometry model. The theory is described in this document and an experimental case is discussed.
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title_short	A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties
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doi_str	10.1016/j.apradiso.2019.108953
up_date	2024-07-06T20:02:03.833Z
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A novel technique for the optimization and reduction of gamma spectroscopy geometry uncertainties

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