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Nuclear-matter saturation and symmetry energy within $\Delta$--full chiral effective field theory
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abstract
Nuclear saturation and the symmetry energy are key properties of low-energy nuclear physics that depend on fine details of the nuclear interaction. The equation-of-state around saturation is also an important anchor for extrapolations to higher densities and studies of neutron stars. Here we develop a unified statistical framework that uses realistic nuclear forces to link the theoretical modeling of finite nuclei and infinite nuclear matter. We construct fast and accurate emulators for nuclear-matter observables and employ an iterative history-matching approach to explore and reduce the enormous parameter domain of $\Delta$-full chiral interactions. We perform rigorous uncertainty quantification and find that model calibration including \nuc{16}{O} observables gives saturation predictions that are more precise than those that only use few-body data.
Forward citations
Cited by 2 Pith papers
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A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties
GPDiff fits a hierarchical Gaussian process to microscopic asymmetric-matter energies and propagates correlated uncertainties to EOS parameters and neutron-star matter properties.
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PMM-IMSRG emulator for the nuclear equation of state with quantified uncertainties
A parametric-matrix-model emulator reproduces IMSRG nuclear-matter energies with calibrated conformal-prediction error bars, enabling Bayesian fitting of three-nucleon couplings to saturation properties.
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