Modeling direct and pre-equilibrium processes of neutron-induced reactions with noniterative finite amplitude method and distorted-wave Born approximation
Hirokazu Sasaki, Toshihiko Kawano, Marc Dupuis

TL;DR
This paper introduces a novel calculation method combining noniterative finite amplitude method and distorted-wave Born approximation to accurately model neutron-induced reactions, including direct and pre-equilibrium processes, without phenomenological parameters.
Contribution
The paper develops a new, consistent approach to describe neutron-induced reactions using noniterative FAM and DWBA, improving accuracy over traditional methods.
Findings
Reproduces experimental inelastic scattering data without phenomenological parameters.
Accurately predicts double differential cross sections in relevant energy regions.
Provides insights into spin distribution of residual nuclear states.
Abstract
We develop a calculation method for describing the direct and pre-equilibrium processes in neutron-induced reactions based on the framework of noniterative finite amplitude method (FAM) and distorted-wave Born approximation (DWBA). The noniterative FAM is used to derive equations of quasiparticle random-phase approximation (QRPA) for neutron-induced inelastic scatterings to both the discrete and continuum states in a consistent manner. The Skyrme force is employed as an interaction between the projectile neutron with nucleons inside the target nucleus. We apply this method to the neutron-induced reaction on 208Pb. We demonstrate that the calculated differential inelastic scattering cross sections to low-lying states reproduce available experimental data without any phenomenological parameters that are often introduced in conventional DWBA calculations. The calculated double differential…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
