EPJ Web Conf.
Volume 146, 2017ND 2016: International Conference on Nuclear Data for Science and Technology
|Number of page(s)||6|
|Section||Nuclear Data for Applications|
|Published online||13 September 2017|
Copper benchmark experiment for the testing of JEFF-3.2 nuclear data for fusion applications
1 ENEA UT-FUS, C.R. Frascati, via E. Fermi 45, 00044 Frascati (Rome), Italy
2 Karlsruhe Institute of Technology (KIT), Germany
3 Jožef Stefan Institute, Jamova Cesta 39, Ljubljana, Slovenia
4 Racah Institute of Physics, Hebrew University of Jerusalem, Israel
5 AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
a e-mail: email@example.com
Published online: 13 September 2017
A neutronics benchmark experiment on a pure Copper block (dimensions 60 × 70 × 70 cm3) aimed at testing and validating the recent nuclear data libraries for fusion applications was performed in the frame of the European Fusion Program at the 14 MeV ENEA Frascati Neutron Generator (FNG). Reaction rates, neutron flux spectra and doses were measured using different experimental techniques (e.g. activation foils techniques, NE213 scintillator and thermoluminescent detectors). This paper first summarizes the analyses of the experiment carried-out using the MCNP5 Monte Carlo code and the European JEFF-3.2 library. Large discrepancies between calculation (C) and experiment (E) were found for the reaction rates both in the high and low neutron energy range. The analysis was complemented by sensitivity/uncertainty analyses (S/U) using the deterministic and Monte Carlo SUSD3D and MCSEN codes, respectively. The S/U analyses enabled to identify the cross sections and energy ranges which are mostly affecting the calculated responses. The largest discrepancy among the C/E values was observed for the thermal (capture) reactions indicating severe deficiencies in the 63,65Cu capture and elastic cross sections at lower rather than at high energy. Deterministic and MC codes produced similar results. The 14 MeV copper experiment and its analysis thus calls for a revision of the JEFF-3.2 copper cross section and covariance data evaluation. A new analysis of the experiment was performed with the MCNP5 code using the revised JEFF-3.3-T2 library released by NEA and a new, not yet distributed, revised JEFF-3.2 Cu evaluation produced by KIT. A noticeable improvement of the C/E results was obtained with both new libraries.
© The Authors, published by EDP Sciences, 2017
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