Orateur
Description
Fission event generators have become the state-of-the-art tool for studying correlations between the neutrons and rays emitted from fission and how these observables depend on the initial conditions of the fission fragments that emit them. CGMF is one such Monte Carlo fission fragment event generator, developed at Los Alamos Laboratory. Phenomenological models are constructed for the fission fragment initial conditions in mass, charge, total kinetic energy, spin, and parity, then are sample and used to initialize the decay of the daughter fragments, using the Hauser Feshbach statistical theory. Information on nuclear masses, level densities, and -ray strength functions are additionally used to emit the resulting neutrons and rays. Energy, momentum, and angular momentum are conserved at every step in the decay. In addition to being used to understand the relationship between fission fragment properties and the emitted neutrons/ rays, CGMF has also been used in neutron multiplicity evaluations in ENDF/B-VIII.0 and ENDF/B-VIII.1. Finally, to facilitate optimization of the fission fragment initial conditions and propagate uncertainties to prompt fission observables, a novel emulator for CGMF has recently been developed. In this talk, we will discuss the underlying models within CGMF, its use in basic science and nuclear data evaluations, along with how machine learning can be used to emulate CGMF.
