A Complex Scaling Method for Efficient and Accurate Scattering Emulation in Nuclear Reactions

Abstract

We present a novel scattering emulator utilizing the complex scaling method to enhance nuclear reaction analysis. This approach leverages a single set of reduced bases, allowing for efficient and simultaneous emulation across multiple channels and potential parameters, significantly reducing computational storage and accelerating calculations. Demonstrated through \(n\)+\(^{40}\)Ca and \(^{11}\)Be+\(^{64}\)Zn elastic scattering, our method achieves high accuracy and efficiency. This emulator exhibits stable and reliable performance without anomalies inherent in other techniques, showcasing its robustness.

5 pages, 3 figures, published in Phys. Lett. B 858, 139070(2024)

References in corpus (10)

• Eigenvector continuation with subspace learning
• Eigenvector Continuation as an Efficient and Accurate Emulator for Uncertainty Quantification
• Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions
• Nuclear Theory and Science of the Facility for Rare Isotope Beams
• Efficient emulators for scattering using eigenvector continuation
• Bound state techniques to solve the multiparticle scattering problem
• Fast & accurate emulation of two-body scattering observables without wave functions
• Fast emulation of quantum three-body scattering
• Generalizing the calculable $R$-matrix theory and eigenvector continuation to the incoming wave boundary condition
• Application of complex-scaling method for few-body scattering

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• Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation