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Cited by 15 publications
(6 citation statements)
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“…3, and (2) 239,240 Pu datasets (EXFOR 14223.002 [170] and 14271.002 [124]) because their ratios to 235 U are not available from the authors. A theoretical study [172] concludes that the most of the discrepant 241 Pu datasets between 0.1 and 2 MeV can be covered by changing the fission barrier height of 242 Pu by only 150 keV and one cannot exclude a discrepant dataset by such theoretical consideration. FIG.…”
Section: A Formalismmentioning
confidence: 99%
“…3, and (2) 239,240 Pu datasets (EXFOR 14223.002 [170] and 14271.002 [124]) because their ratios to 235 U are not available from the authors. A theoretical study [172] concludes that the most of the discrepant 241 Pu datasets between 0.1 and 2 MeV can be covered by changing the fission barrier height of 242 Pu by only 150 keV and one cannot exclude a discrepant dataset by such theoretical consideration. FIG.…”
Section: A Formalismmentioning
confidence: 99%
“…No integral experiments exist that allow to conclusively validate whether evaluations (1) or (3) of the (n,f) cross section are more realistic from 10 to 15 MeV. While LLNL pulsed spheres [32] are sensitive to nuclear data from 5 to 15 MeV, changes in the 239 Pu(n,f) cross section of less than 5% were shown in [79] to have minimal impact on their simulation. Hence, the new NIFFTE TPC measurement is an important clue to accurately define the (n,f) cross section above 14 MeV.…”
Section: (Nf) Cross Sectionmentioning
confidence: 99%
“…Such an approach, which provides a robust method to reject outlying measurements and guide future experiments, was used in this specific case to improve the evaluation of the 239 Puðn; fÞ reaction. Random forests were also used (Neudecker et al, 2021) to combine differential data (differential cross sections), application-specific integral data (k eff and neutron-leakage spectra from pulsedsphere experiments), and nuclear theory to isolate likely root causes of disagreements between integral data and predictions using differential data, to select preferred differential datasets that give better agreement with integral measurements, and to specify which differential or theory developments can best reproduce integral results.…”
Section: B Improving Compilations and Evaluationsmentioning
confidence: 99%