Impact of FIFRELIN input parameters on fission observables

Fission yields are essential for nuclear reactor studies and are also the main observable to describe the fission process. 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) which is a Monte Carlo code, was developed in order to simulate fission fragments de-excitation through the emission of gamma rays and neutrons. 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 distribution 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. Finally, FIFRELIN has five free parameters. A set of these parameters are chosen in order 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 over different output observables (neutron emission probability, neutron multiplicity as function of the fission fragment mass) is investigated. In the same way, the influence of input data over output observables is performed. Then, sensibility studies should give us insight about the more important parameters and drive the future work on FIFRELIN validation. This document is made up of an abstract and the slides of the presentation. (authors)