Issue |
EPJ Web Conf.
Volume 193, 2018
6th Workshop on Nuclear Fission and Spectroscopy of Neutron-Rich Nuclei (FISSION 2017)
|
|
---|---|---|
Article Number | 01003 | |
Number of page(s) | 6 | |
Section | Theory and Models | |
DOI | https://doi.org/10.1051/epjconf/201819301003 | |
Published online | 14 November 2018 |
https://doi.org/10.1051/epjconf/201819301003
Impact of FIFRELIN input parameters on fission observables
CEA, DEN, DER, SPRC, Cadarache, Physics Studies Laboratory, F-13108 Saint-Paul-lès-Durance, France
* e-mail: abdelhazize.chebboubi@cea.fr
Published online: 14 November 2018
Evaluated nuclear data are essential for nuclear reactor studies. In order to significantly improve the precision of nuclear data, more and more fundamental fission models are used in the evaluation processing. Therefore, tests of fission models become a central issue. In this framework, FIFRELIN (FIssion Fragments Evaporation Leading to an Investigation of Nuclear data) is a Monte Carlo code developed in order to modelize fission fragments de-excitation through the emission of neutrons, γ and conversion e-. To be performed, a FIFRELIN calculation relies on several models such as gamma strength function and nuclear level density and of more empirical hypothesis such as total excitation energy repartition or angular momentum given by the fission reaction. Moreover, pre-emission mass yield and kinetic energy distribution per mass are necessary to process the simulation. A set of five free parameters are chosen to reproduce a target observable. Often this observable corresponds to the mean neutron multiplicity for heavy and light fragment. In this work, the impact of the set of parameters on different output observables (neutron emission probability, neutron multiplicity as function of the fission fragment mass) is investigated.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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