2010
DOI: 10.1016/j.apradiso.2009.10.055
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Isotope correlations for determining the isotopic composition of plutonium in high burnup pressurized water reactor (PWR) samples

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Cited by 8 publications
(3 citation statements)
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“…The single isotope based correlation a b c d models (Swinhoe and Alamelu-1) do not predict even 10% of the TS samples with an accuracy of 2.5%. It was of interest to apply the multivariate models obtained using Indian PHWR's Pu isotopic data, to the data of Pu samples with high burnup (35.5-62.9 GWd/MtU) available in literature (Joe et al, 2010). It was observed that the PCR and PLSR models (mentioned in Sections 3.2 and 3.3) could not predict 242 Pu of Joe et al (2010) data with an accuracy of better than 5% in any of the samples (actually the deviation was 30-40%) whereas the MLR model (mentioned in Section 3.1) could predict 242 Pu atom% abundance with accuracy better than 0.7% in all the samples.…”
Section: Previously Reported Methodsmentioning
confidence: 99%
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“…The single isotope based correlation a b c d models (Swinhoe and Alamelu-1) do not predict even 10% of the TS samples with an accuracy of 2.5%. It was of interest to apply the multivariate models obtained using Indian PHWR's Pu isotopic data, to the data of Pu samples with high burnup (35.5-62.9 GWd/MtU) available in literature (Joe et al, 2010). It was observed that the PCR and PLSR models (mentioned in Sections 3.2 and 3.3) could not predict 242 Pu of Joe et al (2010) data with an accuracy of better than 5% in any of the samples (actually the deviation was 30-40%) whereas the MLR model (mentioned in Section 3.1) could predict 242 Pu atom% abundance with accuracy better than 0.7% in all the samples.…”
Section: Previously Reported Methodsmentioning
confidence: 99%
“…It was of interest to apply the multivariate models obtained using Indian PHWR's Pu isotopic data, to the data of Pu samples with high burnup (35.5-62.9 GWd/MtU) available in literature (Joe et al, 2010). It was observed that the PCR and PLSR models (mentioned in Sections 3.2 and 3.3) could not predict 242 Pu of Joe et al (2010) data with an accuracy of better than 5% in any of the samples (actually the deviation was 30-40%) whereas the MLR model (mentioned in Section 3.1) could predict 242 Pu atom% abundance with accuracy better than 0.7% in all the samples. This can be attributed to the fact that the contribution of 238 Pu atom% in the PC1 to PC3 (in case of PCR) and in Factor-1 to Factor-3 (in case of PLSR) is negligible and hence has hardly any influence on prediction capability; whereas the MLR model used the 238 Pu information to full extent.…”
Section: Previously Reported Methodsmentioning
confidence: 99%
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