Posterior predictive distributions of neutron-deuteron cross sections
Sean B. S. Miller, Andreas Ekstr\"om, Christian Forss\'en

TL;DR
This paper quantifies the uncertainties in neutron-deuteron scattering cross sections using chiral effective field theory, finding that truncation errors dominate over LEC variability at low energies.
Contribution
It provides a detailed analysis of the posterior predictive distributions of $nd$ cross sections, highlighting the dominance of EFT truncation errors over LEC uncertainties at N$^3$LO.
Findings
Uncertainty in LECs from $NN$ data has minimal impact on $nd$ predictions.
EFT truncation errors are the main source of uncertainty below N$^3$LO.
Both the PPD credible interval and truncation error are small and comparable at N$^3$LO.
Abstract
We quantify the posterior predictive distributions (PPDs) of elastic neutron-deuteron () scattering cross sections using nucleon-nucleon () interactions from chiral effective field theory (EFT) up to and including next-to-next-to-next-to-leading order (NLO). These PPDs quantify the spread in predictions due to the variability of the low-energy constants (LECs) inferred from 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 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 LECs inferred from scattering data, when assuming uncorrelated errors, does not translate to…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Quantum Chromodynamics and Particle Interactions
