- Editors' Suggestion
Wavefunction-based emulation of coupled-channels scattering with nonaffinely parametrized interactions
Phys. Rev. C 113, 044623 – Published 27 April, 2026
DOI: https://doi.org/10.1103/tgf9-f2st
Abstract
Background: Physics-based emulators offer a fast and reliable replacement for an exact solution of the scattering problem in nuclear physics. Previous work developed a reduced-basis single channel emulator for nonaffine projectile-target interactions, such as optical potentials, to describe elastic scattering.
Purpose: Since many reactions of interest can be cast as a coupled-channel problem, the purpose of this work is to extend the reduced basis methods (RBM) to a coupled-channel framework.
Method: We generalize the reduced basis method to coupled-channel equations (CC-RBM) to describe inelastic scattering. Although our framework is general, in this work we apply it to reactions where the Hamiltonian coupling term comes from assuming a rotational structure model for the target. From a set of training coupled-channel wave functions, we perform a singular value decomposition to obtain a reduced set of basis wave functions, and then solve the extended (Petrov-)Galerkin equations in that basis. In addition, the empirical interpolation method is used to expand the nonaffine coupling potentials.
Results: We apply the CC-RBM method to elastic and inelastic scattering of neutrons on including a quadrupole coupling to populate the first state, and neutrons on , including an octupole coupling to populate its first state. We demonstrate that the CC-RBM calculated elastic and inelastic cross sections match those obtained using traditional finite-difference (high-fidelity) methods. We show that the CC-RBM results can reliably reproduce the nuclear scattering cross sections at different energy regimes.
Conclusions: The computational accuracy versus time plots demonstrate that the CC-RBM method efficiently increases precision with increasing basis size. Most importantly, for the precisions required in reaction calculations (a percent on the cross section), we find the CC-RBM method offers roughly 1.5 orders of magnitude gain in computational speed compared to the traditional coupled-channels solver. However, we also discuss how this scaling becomes less favorable, the larger the number of channels included in the original coupled-channel set.