Modeling Pu-239 Fission Fragment De-Excitation applying the Total Monte Carlo method in TALYS

In this study, we applied the Total Monte Carlo (TMC) methodology in de-excitation simulations of primary fission fragments (FF) using the TALYS code. The goal was to develop and optimise a methodology to benchmark initial fission model assumptions on fission mass yield distributions, excitation energy sharing and angular momentum population. The study was performed on the thermal neutron induced fission of 239 Pu(n th ,f). The work aimed at evaluating fission model deficiencies and parameter sensitivities. We systematically varied TALYS input data by generating 5000 random files through the GEF code, randomizing 94 model parameters that a ff ect fission yields and energy distributions within 3% of their default values. This variation revealed significant changes in the fission observables, such as prompt neutron and γ -ray multiplicities and energy spectra. The results indicate some systematic defects in the assumed excitation-energies and angular momenta. Another outcome from the study is the identification of a need for new correlation measurements on prompt neutrons and γ -rays from the 239 Pu(n th ,f) reaction, as well as an updated evaluation.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202532207005
Citations
1
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
4.99

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article

Modeling Pu-239 Fission Fragment De-Excitation applying the Total Monte Carlo method in TALYS

Henrik Sjöstrand, Alf Göök, Peter S. Karlsson, A. Solders et al.
1 citations
EPJ Web of Conferences
Nuclear reactor physics and engineering
4.99
article

Modeling Pu-239 Fission Fragment De-Excitation applying the Total Monte Carlo method in TALYS

Henrik Sjöstrand, Alf Göök, Peter S. Karlsson, A. Solders, Ali Al-Adili, A. J. Koning, S. Pomp, Zhihao Gao
article en
1 citations

Abstract

In this study, we applied the Total Monte Carlo (TMC) methodology in de-excitation simulations of primary fission fragments (FF) using the TALYS code. The goal was to develop and optimise a methodology to benchmark initial fission model assumptions on fission mass yield distributions, excitation energy sharing and angular momentum population. The study was performed on the thermal neutron induced fission of 239 Pu(n th ,f). The work aimed at evaluating fission model deficiencies and parameter sensitivities. We systematically varied TALYS input data by generating 5000 random files through the GEF code, randomizing 94 model parameters that a ff ect fission yields and energy distributions within 3% of their default values. This variation revealed significant changes in the fission observables, such as prompt neutron and γ -ray multiplicities and energy spectra. The results indicate some systematic defects in the assumed excitation-energies and angular momenta. Another outcome from the study is the identification of a need for new correlation measurements on prompt neutrons and γ -rays from the 239 Pu(n th ,f) reaction, as well as an updated evaluation.

EPJ Web of ConferencesVol. 322
Uppsala University (SE), International Atomic Energy Agency (AT)
Vetenskapsrådet, Energimyndigheten, Strålsäkerhetsmyndigheten
Openalex Percentile: Top 7%
Nuclear reactor physics and engineering
4.99
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Modeling Pu-239 Fission Fragment De-Excitation applying the Total Monte Carlo method in TALYS — Henrik Sjöstrand, Alf Göök, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS