Emulating \emph{ab initio} computations of infinite nucleonic matter

Abstract

We construct efficient emulators for the \emph{ab initio} computation of the infinite nuclear matter equation of state. These emulators are based on the subspace-projected coupled-cluster method for which we here develop a new algorithm called small-batch voting to eliminate spurious states that might appear when emulating quantum many-body methods based on a non-Hermitian Hamiltonian. The efficiency and accuracy of these emulators facilitate a rigorous statistical analysis within which we explore nuclear matter predictions for $>10^6$ different parametrizations of a chiral interaction model with explicit $\Delta$-isobars at next-to-next-to leading order. Constrained by nucleon-nucleon scattering phase shifts and bound-state observables of light nuclei up to \nuc{4}{He}, we use history matching to identify non-implausible domains for the low-energy coupling constants of the chiral interaction. Within these domains we perform a Bayesian analysis using sampling/importance resampling with different likelihood calibrations and study correlations between interaction parameters, calibration observables in light nuclei, and nuclear matter saturation properties.

16 pages, 15 figures, updated Supplemental Material can be found in the PRC version

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Cited by in corpus (16)

• Eigenvector Continuation and Projection-Based Emulators
• A Bayesian mixture model approach to quantifying the empirical nuclear saturation point
• Inference of the low-energy constants in $\Delta$-full chiral effective field theory including a correlated truncation error
• Nuclear-matter saturation and symmetry energy within $\Delta$--full chiral effective field theory
• Emulators for scarce and noisy data: application to auxiliary field diffusion Monte Carlo for the deuteron
• Emulators for Scarce and Noisy Data: Application to Auxiliary-Field Diffusion Monte Carlo for Neutron Matter
• From chiral EFT to perturbative QCD: a Bayesian model mixing approach to symmetric nuclear matter
• Greedy Emulators for Nuclear Two-Body Scattering
• Global Framework for Emulation of Nuclear Calculations
• Subspace-projected multireference covariant density functional theory
• An Efficient Learning Method to Connect Observables
• Conformal prediction for uncertainties in nucleon-nucleon scattering
• Chiral interactions and superfluidity in the calcium isotopic chain
• Ab initio study of the neutron and Fermi polarons on the lattice
• Toward a Unified Understanding of the Dense Matter Equation of State
• Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation