Correlated Prompt Fission Data in Transport Simulations
P. Talou, R. Vogt, J. Randrup, M.E. Rising, S.A. Pozzi, J. Verbeke,, M.T. Andrews, S.D. Clarke, P. Jaffke, M. Jandel, T. Kawano, M.J. Marcath, K., Meierbachtol, L. Nakae, G. Rusev, A. Sood, I. Stetcu, C. Walker

TL;DR
This paper discusses the modeling and analysis of prompt fission neutron and gamma-ray correlations using Monte Carlo simulations to better understand the fission process and improve nuclear data for applications.
Contribution
It introduces the use of the FREYA and CGMF codes to simulate correlated prompt fission emissions, providing a detailed framework for testing nuclear physics models against experimental data.
Findings
FREYA and CGMF codes successfully reproduce experimental prompt fission data.
Correlated observables constrain nuclear structure and fission models.
Simulation results inform nuclear data needs for applications.
Abstract
Detailed information on the fission process can be inferred from the observation, modeling and theoretical understanding of prompt fission neutron and -ray~observables. Beyond simple average quantities, the study of distributions and correlations in prompt data, e.g., multiplicity-dependent neutron and \gray~spectra, angular distributions of the emitted particles, -, -, and -~correlations, can place stringent constraints on fission models and parameters that would otherwise be free to be tuned separately to represent individual fission observables. The FREYA~and CGMF~codes have been developed to follow the sequential emissions of prompt neutrons and -rays~from the initial excited fission fragments produced right after scission. Both codes implement Monte Carlo techniques to sample initial fission fragment configurations in mass, charge…
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