论文标题
将降低基础方法应用于核单个粒子频谱
Applications of reduced basis methods to the nuclear single particle spectrum
论文作者
论文摘要
减少的基础方法为建立高效，准确的仿真器提供了强大的框架。尽管广泛应用于许多领域以简化复杂模型，但仅将减少的基础方法才被最近引入核物理学。在这封信中，我们构建了一个模拟器来研究原子核的单粒子结构。通过缩放合适的平均田野哈密顿量，构建了“通用”还原基础，能够准确有效地再现各种核的整个单粒子光谱。实际上，降低的基本模型可再现地面和激发状态的能量以及相关的波功能，具有明显的精度。我们的结果bode很好地用于使用贝叶斯优化来校准核能密度功能的更苛刻的应用。
Reduced basis methods provide a powerful framework for building efficient and accurate emulators. Although widely applied in many fields to simplify complex models, reduced basis methods have only been recently introduced into nuclear physics. In this letter we build an emulator to study the single-particle structure of atomic nuclei. By scaling a suitable mean-field Hamiltonian, a "universal" reduced basis is constructed capable of accurately and efficiently reproduce the entire single-particle spectrum of a variety of nuclei. Indeed, the reduced basis model reproduces both ground- and excited-state energies as well as the associated wave-functions with remarkable accuracy. Our results bode well for more demanding applications that use Bayesian optimization to calibrate nuclear energy density functionals.
