"The use of integral experiments for nuclear data benchmarking focused on our department work"

Michal Kostal


Integral quantities can usually be measured much more accurately than differential nuclear data, so it is tempting to use such data for validation, sometimes even for improvement of differential nuclear data. Such integral data can be spectrum-averaged cross sections or cross section ratios, kinetic parameters or leakage spectra. Nuclear data section of IAEA stated, that experience from the analysis of criticality benchmarks indicates that data adjustments on such benchmarks are not unique. An obvious example is fairly good performance of all major libraries in predicting the criticality of major benchmark cases in spite of relatively large differences in the cross sections, where good performance is achieved mainly due to compensating effects. Similarly, blind application of data adjustment techniques can lead to data files that apparently perform well in selected integral benchmarks, but violate the uncertainties in experimentally measured differential nuclear data. Both LR-0 reactor and 252Cf Lab are suitable for performing of integral experiments suitable for validation of differential quantities.


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