Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database
This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet charact...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sedgi, Itzhak [verfasserIn] Moyal, Amiram [verfasserIn] Assulin, Maor [verfasserIn] Rubinstein, Arnon [verfasserIn] Brandis, Michal [verfasserIn] Gershinsky, Gregory [verfasserIn] Edry, Itzhak [verfasserIn] Halevy, Itzhak [verfasserIn] Fruchter, Noa [verfasserIn] Zakon, Yevgeni [verfasserIn] Elish, Eyal [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of nuclear materials - Amsterdam [u.a.] : Elsevier Science, 1959, 587 |
|---|---|
| Übergeordnetes Werk: |
volume:587 |
| DOI / URN: |
10.1016/j.jnucmat.2023.154730 |
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| Katalog-ID: |
ELV065106261 |
|---|
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| 245 | 1 | 0 | |a Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database |
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| 520 | |a This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. | ||
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| 650 | 4 | |a Nuclear forensics | |
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| 700 | 1 | |a Moyal, Amiram |e verfasserin |4 aut | |
| 700 | 1 | |a Assulin, Maor |e verfasserin |0 (orcid)0000-0003-2892-4953 |4 aut | |
| 700 | 1 | |a Rubinstein, Arnon |e verfasserin |4 aut | |
| 700 | 1 | |a Brandis, Michal |e verfasserin |0 (orcid)0000-0002-7542-7565 |4 aut | |
| 700 | 1 | |a Gershinsky, Gregory |e verfasserin |4 aut | |
| 700 | 1 | |a Edry, Itzhak |e verfasserin |4 aut | |
| 700 | 1 | |a Halevy, Itzhak |e verfasserin |4 aut | |
| 700 | 1 | |a Fruchter, Noa |e verfasserin |4 aut | |
| 700 | 1 | |a Zakon, Yevgeni |e verfasserin |4 aut | |
| 700 | 1 | |a Elish, Eyal |e verfasserin |0 (orcid)0000-0001-8138-0233 |4 aut | |
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10.1016/j.jnucmat.2023.154730 doi (DE-627)ELV065106261 (ELSEVIER)S0022-3115(23)00497-X DE-627 ger DE-627 rda eng 530 620 VZ 51.40 bkl 52.55 bkl 33.81 bkl 33.80 bkl Sedgi, Itzhak verfasserin (orcid)0000-0002-1427-4016 aut Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. Uo Fuel pellet Nuclear forensics Data analysis Moyal, Amiram verfasserin aut Assulin, Maor verfasserin (orcid)0000-0003-2892-4953 aut Rubinstein, Arnon verfasserin aut Brandis, Michal verfasserin (orcid)0000-0002-7542-7565 aut Gershinsky, Gregory verfasserin aut Edry, Itzhak verfasserin aut Halevy, Itzhak verfasserin aut Fruchter, Noa verfasserin aut Zakon, Yevgeni verfasserin aut Elish, Eyal verfasserin (orcid)0000-0001-8138-0233 aut Enthalten in Journal of nuclear materials Amsterdam [u.a.] : Elsevier Science, 1959 587 Online-Ressource (DE-627)320410730 (DE-600)2001279-2 (DE-576)251938174 nnns volume:587 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 51.40 Werkstoffe für bestimmte Anwendungsgebiete VZ 52.55 Kerntechnik Reaktortechnik VZ 33.81 Kernfusion VZ 33.80 Plasmaphysik VZ AR 587 |
| spelling |
10.1016/j.jnucmat.2023.154730 doi (DE-627)ELV065106261 (ELSEVIER)S0022-3115(23)00497-X DE-627 ger DE-627 rda eng 530 620 VZ 51.40 bkl 52.55 bkl 33.81 bkl 33.80 bkl Sedgi, Itzhak verfasserin (orcid)0000-0002-1427-4016 aut Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. Uo Fuel pellet Nuclear forensics Data analysis Moyal, Amiram verfasserin aut Assulin, Maor verfasserin (orcid)0000-0003-2892-4953 aut Rubinstein, Arnon verfasserin aut Brandis, Michal verfasserin (orcid)0000-0002-7542-7565 aut Gershinsky, Gregory verfasserin aut Edry, Itzhak verfasserin aut Halevy, Itzhak verfasserin aut Fruchter, Noa verfasserin aut Zakon, Yevgeni verfasserin aut Elish, Eyal verfasserin (orcid)0000-0001-8138-0233 aut Enthalten in Journal of nuclear materials Amsterdam [u.a.] : Elsevier Science, 1959 587 Online-Ressource (DE-627)320410730 (DE-600)2001279-2 (DE-576)251938174 nnns volume:587 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 51.40 Werkstoffe für bestimmte Anwendungsgebiete VZ 52.55 Kerntechnik Reaktortechnik VZ 33.81 Kernfusion VZ 33.80 Plasmaphysik VZ AR 587 |
| allfields_unstemmed |
10.1016/j.jnucmat.2023.154730 doi (DE-627)ELV065106261 (ELSEVIER)S0022-3115(23)00497-X DE-627 ger DE-627 rda eng 530 620 VZ 51.40 bkl 52.55 bkl 33.81 bkl 33.80 bkl Sedgi, Itzhak verfasserin (orcid)0000-0002-1427-4016 aut Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. Uo Fuel pellet Nuclear forensics Data analysis Moyal, Amiram verfasserin aut Assulin, Maor verfasserin (orcid)0000-0003-2892-4953 aut Rubinstein, Arnon verfasserin aut Brandis, Michal verfasserin (orcid)0000-0002-7542-7565 aut Gershinsky, Gregory verfasserin aut Edry, Itzhak verfasserin aut Halevy, Itzhak verfasserin aut Fruchter, Noa verfasserin aut Zakon, Yevgeni verfasserin aut Elish, Eyal verfasserin (orcid)0000-0001-8138-0233 aut Enthalten in Journal of nuclear materials Amsterdam [u.a.] : Elsevier Science, 1959 587 Online-Ressource (DE-627)320410730 (DE-600)2001279-2 (DE-576)251938174 nnns volume:587 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 51.40 Werkstoffe für bestimmte Anwendungsgebiete VZ 52.55 Kerntechnik Reaktortechnik VZ 33.81 Kernfusion VZ 33.80 Plasmaphysik VZ AR 587 |
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10.1016/j.jnucmat.2023.154730 doi (DE-627)ELV065106261 (ELSEVIER)S0022-3115(23)00497-X DE-627 ger DE-627 rda eng 530 620 VZ 51.40 bkl 52.55 bkl 33.81 bkl 33.80 bkl Sedgi, Itzhak verfasserin (orcid)0000-0002-1427-4016 aut Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. Uo Fuel pellet Nuclear forensics Data analysis Moyal, Amiram verfasserin aut Assulin, Maor verfasserin (orcid)0000-0003-2892-4953 aut Rubinstein, Arnon verfasserin aut Brandis, Michal verfasserin (orcid)0000-0002-7542-7565 aut Gershinsky, Gregory verfasserin aut Edry, Itzhak verfasserin aut Halevy, Itzhak verfasserin aut Fruchter, Noa verfasserin aut Zakon, Yevgeni verfasserin aut Elish, Eyal verfasserin (orcid)0000-0001-8138-0233 aut Enthalten in Journal of nuclear materials Amsterdam [u.a.] : Elsevier Science, 1959 587 Online-Ressource (DE-627)320410730 (DE-600)2001279-2 (DE-576)251938174 nnns volume:587 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 51.40 Werkstoffe für bestimmte Anwendungsgebiete VZ 52.55 Kerntechnik Reaktortechnik VZ 33.81 Kernfusion VZ 33.80 Plasmaphysik VZ AR 587 |
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10.1016/j.jnucmat.2023.154730 doi (DE-627)ELV065106261 (ELSEVIER)S0022-3115(23)00497-X DE-627 ger DE-627 rda eng 530 620 VZ 51.40 bkl 52.55 bkl 33.81 bkl 33.80 bkl Sedgi, Itzhak verfasserin (orcid)0000-0002-1427-4016 aut Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. Uo Fuel pellet Nuclear forensics Data analysis Moyal, Amiram verfasserin aut Assulin, Maor verfasserin (orcid)0000-0003-2892-4953 aut Rubinstein, Arnon verfasserin aut Brandis, Michal verfasserin (orcid)0000-0002-7542-7565 aut Gershinsky, Gregory verfasserin aut Edry, Itzhak verfasserin aut Halevy, Itzhak verfasserin aut Fruchter, Noa verfasserin aut Zakon, Yevgeni verfasserin aut Elish, Eyal verfasserin (orcid)0000-0001-8138-0233 aut Enthalten in Journal of nuclear materials Amsterdam [u.a.] : Elsevier Science, 1959 587 Online-Ressource (DE-627)320410730 (DE-600)2001279-2 (DE-576)251938174 nnns volume:587 GBV_USEFLAG_U GBV_ELV SYSFLAG_U 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_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_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 51.40 Werkstoffe für bestimmte Anwendungsgebiete VZ 52.55 Kerntechnik Reaktortechnik VZ 33.81 Kernfusion VZ 33.80 Plasmaphysik VZ AR 587 |
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Sedgi, Itzhak @@aut@@ Moyal, Amiram @@aut@@ Assulin, Maor @@aut@@ Rubinstein, Arnon @@aut@@ Brandis, Michal @@aut@@ Gershinsky, Gregory @@aut@@ Edry, Itzhak @@aut@@ Halevy, Itzhak @@aut@@ Fruchter, Noa @@aut@@ Zakon, Yevgeni @@aut@@ Elish, Eyal @@aut@@ |
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nuclear forensic signatures of uo 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database |
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Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database |
| abstract |
This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. |
| abstractGer |
This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. |
| abstract_unstemmed |
This paper presents a comprehensive nuclear forensics signatures analysis of UO2 fuel pellets, allowing their provenance to specific manufacturers. The study is based on a synthetic database designed for the 4th international Galaxy Serpent exercise circulation, which mimics real fuel pellet characteristics. The scenario of the exercise is completely fictional, including the data used and manufacturers' names, locations, etc. The signatures investigated include chemical form, pellet dimensions, equivalent boron content, Gd additive, impurities distribution, and isotopic composition. The consistency levels of the results, which determine the confidence in the provenance process, were divided into four levels due to the varying resolving power of the signatures. The paper emphasizes the importance of a graphical representation of the results to simplify interpreting multi-degree-of-freedom data, typical to nuclear forensics investigations, including the amalgamation of quantitative and qualitative information. The analysis connects 11 orphan pellets and a single UO2 powder to five manufacturers. The presented methodology offers a straightforward approach to data interpretation in nuclear forensic investigations and highlights the need for continued research and development in this field. |
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Nuclear forensic signatures of UO 2 fuel pellets for differentiation and provenance determination illustrated using synthetic database |
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| score |
7.400568 |