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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-23 18:34 |
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Conference: Bucharest University Faculty of Physics 2022 Meeting
Section: Nuclear and Elementary Particles Physics
Title:
Hauser-Feshbach statistical modeling of 233U(n,f)
Authors:
Cristiana OPREA 1, Alexandru MIHUL 2* and Ioan Alexandru OPREA 1
Affiliation:
1) Department of Experimental Nuclear Physics, Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Joliot-Curie 6, 141980 Dubna, RF
2 University of Bucharest, Faculty of Physics, POBox MG-11, Magurele-Bucharest
*Deceased
2) Romanian National Authority for Scientific Research, Mendeleev 21-25, 010362 1 Bucharest, RO
3) CMS, CERN, CH-1211 Genève 23, Switzerland
E-mail
coprea2005@yahoo.co.uk
Keywords:
233U(n,f) process, Hauser-Feshbach modeling, cross-sections, mass distribution, fission yields
Abstract:
Nuclear data obtained in the research of 233Uranium fission are of great importance for nuclear reactors based on the Th-U fuel cycle. Fission cross-sections, mass and charge distributions, prompt emission in fission including neutron multiplicities, yields of some isotopes of interest as - 232Uranium, and associated uncertainties were obtained. This paper presents the theoretical predictions and the first results on 233U(n,f) by applying Talys and the author’s computer codes, dedicated to nuclear reaction mechanisms and the structure of nuclei calculations.
First, the fission mass distributions and product yields were simulated using the Brosa model. For some cases, the fission yield isomeric ratios were calculated using different gamma and neutron source models. Uncertainties induced by nuclear data were quantified using preliminary, energy-dependent relative covariance matrices evaluated with ENDF nuclear data and processed for the studied fission process. Theoretical evaluations obtained here are compared with existing experimental data. The present research on 233U(n,f) reaction is realized in the frame of the nuclear data program running at JINR Dubna basic facilities IREN and MT-25 Microtron.
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