Experiments and Theoretical Data for Studying the Impact of Fission Yield Uncertainties on the Nuclear Fuel Cycle with TALYS/GEF and the Total Monte Carlo Method
2015 (English)In: Nuclear Data Sheets, ISSN 0090-3752, E-ISSN 1095-9904, Vol. 123, no SI, 220-224 p.Article in journal (Refereed) Published
We describe the research program of the nuclear reactions research group at Uppsala University concerning experimental and theoretical efforts to quantify and reduce nuclear data uncertainties relevant for the nuclear fuel cycle. We briefly describe the Total Monte Carlo (TMC) methodology and how it can be used to study fuel cycle and accident scenarios, and summarize our relevant experimental activities. Input from the latter is to be used to guide the nuclear models and constrain parameter space for TMC. The TMC method relies on the availability of good nuclear models. For this we use the TALYS code which is currently being extended to include the GEF model for the fission channel. We present results from TALYS-1.6 using different versions of GEF with both default and randomized input parameters and compare calculations with experimental data for U-234(n,f) in the fast energy range. These preliminary studies reveal some systematic differences between experimental data and calculations but give overall good and promising results.
Place, publisher, year, edition, pages
2015. Vol. 123, no SI, 220-224 p.
IdentifiersURN: urn:nbn:se:uu:diva-247332DOI: 10.1016/j.nds.2014.12.038ISI: 000348490700040OAI: oai:DiVA.org:uu-247332DiVA: diva2:797056
Special Issue on International Workshop on Nuclear Data Covariances April 28 - May 1, 2014, Santa Fe, New Mexico, USA