Rigorous constraints on three-nucleon forces in chiral effective field theory from fast and accurate calculations of few-body observables
arXiv:2104.04441 · doi:10.1103/PhysRevC.104.064001
Abstract
We explore the constraints on the three-nucleon force (3NF) of chiral effective field theory (EFT) that are provided by bound-state observables in the and sectors. Our statistically rigorous analysis incorporates experimental error, computational method uncertainty, and the uncertainty due to truncation of the EFT expansion at next-to-next-to-leading order. A consistent solution for the H binding energy, the He binding energy and radius, and the H -decay rate can only be obtained if EFT truncation errors are included in the analysis. All of these except the -decay rate give essentially degenerate constraints on the 3NF low-energy constants, so it is crucial for estimating these parameters. We use eigenvector continuation for fast and accurate emulation of No-Core Shell Model calculations of the considered few-nucleon observables. This facilitates sampling of the posterior probability distribution, allowing us to also determine the distributions of the hyperparameters that quantify the truncation error. We find a EFT expansion parameter of for these observables.
15 pages, 7 figures; same as published version
References in corpus (8)
- Chiral effective field theory and nuclear forces
- Three-body forces: From cold atoms to nuclei
- Three-Nucleon Low-Energy Constants from the Consistency of Interactions and Currents in Chiral Effective Field Theory
- Global sensitivity analysis of bulk properties of an atomic nucleus
- How low-energy weak reactions can constrain three-nucleon forces and the neutron-neutron scattering length
- Bayesian Methods for Parameter Estimation in Effective Field Theories
- Quantifying uncertainties in neutron-alpha scattering with chiral nucleon-nucleon and three-nucleon forces
- Perturbative treatment of three-nucleon force contact terms in three-nucleon Faddeev equations
Cited by in corpus (46)
- Machine Learning in Nuclear Physics
- What is ab initio in nuclear theory?
- Nuclear masses learned from a probabilistic neural network
- Combining the in-medium similarity renormalization group with the density matrix renormalization group: Shell structure and information entropy
- Model reduction methods for nuclear emulators
- Eigenvector Continuation and Projection-Based Emulators
- Nuclear Forces for Precision Nuclear Physics -- a collection of perspectives
- Performing Bayesian analyses with AZURE2 using BRICK: an application to the Be system
- Large and massive neutron stars: Implications for the sound speed in dense QCD
- Nuclear properties with semilocal momentum-space regularized chiral interactions beyond N2LO
- Fast emulation of quantum three-body scattering
- Self-learning Emulators and Eigenvector Continuation
- Fast & rigorous predictions for nuclei with Bayesian posterior sampling
- Multiscale physics of atomic nuclei from first principles
- Bayesian parameter estimation in EFT using Hamiltonian Monte Carlo
- Ab initio informed evaluation of the radiative capture of protons on Be
- Emulating \emph{ab initio} computations of infinite nucleonic matter
- Factorized Approximation to the IMSRG(3)
- Bayesian probability updates using Sampling/Importance Resampling: Applications in nuclear theory
- Inference of the low-energy constants in -full chiral effective field theory including a correlated truncation error
- Uncertainty quantification in electromagnetic observables of nuclei
- Nuclear-matter saturation and symmetry energy within --full chiral effective field theory
- Bayesian Analysis of EFT at Leading Order in a Modified Weinberg Power Counting Approach
- Floating block method for quantum Monte Carlo simulations
- Accurate and precise quantum computation of valence two-neutron systems
- Greedy Emulators for Nuclear Two-Body Scattering
- Magnetic structure of nuclei using the Norfolk nuclear models with quantum Monte Carlo methods
- Perturbative computations of neutron-proton scattering observables using renormalization-group invariant EFT up to NLO
- Uncertainties in ab initio nuclear structure calculations with chiral interactions
- Theoretical study of the d(d,p)3H and d(d,n)3He processes at low energies
- A further study on the renormalization group aspect of perturbative corrections
- Perspectives on few-body cluster structures in exotic nuclei
- Bayesian approach for many-body uncertainties in nuclear structure: Many-body perturbation theory for finite nuclei
- Revisiting proton-proton fusion in chiral effective field theory
- Muon capture on the deuteron in chiral effective field theory
- IMSRG-Net: A machine learning-based solver for In-Medium Similarity Renormalization Group
- Posterior predictive distributions of neutron-deuteron cross sections
- Effective field theories for collective excitations of atomic nuclei
- Role of spin-isospin symmetries in nuclear -decays
- Bayesian estimation of the low-energy constants up to fourth order in the nucleon-nucleon sector of chiral effective field theory
- Active learning emulators for nuclear two-body scattering in momentum space
- Bayesian method for fitting the low-energy constants in chiral perturbation theory
- Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation
- Conformal prediction for uncertainties in nucleon-nucleon scattering
- Ab initio study of the neutron and Fermi polarons on the lattice
- Chiral interactions and superfluidity in the calcium isotopic chain