Bayesian estimation of the low-energy constants up to fourth order in the nucleon-nucleon sector of chiral effective field theory
Isak Svensson, Andreas Ekstr\"om, Christian Forss\'en

TL;DR
This paper employs Bayesian methods and Hamiltonian Monte Carlo to infer low-energy constants in chiral effective field theory for nucleon-nucleon interactions, accounting for uncertainties and charge-dependent effects.
Contribution
It introduces a Bayesian inference framework with HMC for high-dimensional LECs in chiral EFT, including error modeling and empirical data integration.
Findings
Posterior PDFs for LECs are obtained with HMC sampling.
Charge-dependent LECs are inferred using importance sampling and empirical data.
Results suggest next-to-next-to-leading order is needed to detect isospin breaking.
Abstract
We use Bayesian methods and Hamiltonian Monte Carlo (HMC) sampling to infer the posterior probability density function (PDF) for the low-energy constants (LECs) up to next-to-next-to-next- to-leading order (N3LO) in a chiral effective field theory (EFT) description of the nucleon-nucleon interaction. In a first step, we condition the inference on neutron-proton and proton-proton scattering data and account for uncorrelated EFT truncation errors. We demonstrate how to successfully sample the 31-dimensional space of LECs at N3LO using a revised HMC inference protocol. In a second step we extend the analysis by means of importance sampling and an empirical determination of the neutron-neutron scattering length to infer the posterior PDF for the leading charge-dependent contact LEC in the neutron-neutron interaction channel. While doing so we account for the EFT…
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