English

Posterior predictive distributions of neutron-deuteron cross sections

Nuclear Theory 2023-02-08 v1

Abstract

We quantify the posterior predictive distributions (PPDs) of elastic neutron-deuteron (ndnd) scattering cross sections using nucleon-nucleon (NNNN) interactions from chiral effective field theory (χ\chiEFT) up to and including next-to-next-to-next-to-leading order (N3^3LO). These PPDs quantify the spread in ndnd predictions due to the variability of the low-energy constants (LECs) inferred from NNNN scattering data. We use the wave-packet continuum discretization method to solve the Alt-Grassberger-Sandhas form of the Faddeev equations for elastic scattering. We draw 100 samples from the PPDs of ndnd cross sections up to 67 MeV in scattering energy, i.e., in the energy region where the effects of three-nucleon forces are expected to be small. We find that the uncertainty about NNNN LECs inferred from NNNN scattering data, when assuming uncorrelated errors, does not translate to significant uncertainty in the low-energy ndnd continuum. Based on our estimates, the uncertainty of ndnd predictions are dominated by the χ\chiEFT truncation error, at least below N3^3LO. At this order, the 90% credible interval of the PPD and the truncation error are comparable, although both are very small on an absolute scale.

Keywords

Cite

@article{arxiv.2209.06501,
  title  = {Posterior predictive distributions of neutron-deuteron cross sections},
  author = {Sean B. S. Miller and Andreas Ekström and Christian Forssén},
  journal= {arXiv preprint arXiv:2209.06501},
  year   = {2023}
}

Comments

10 pages, 6 figures