4.4 Article

Exploring Bayesian parameter estimation for chiral effective field theory using nucleon-nucleon phase shifts

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-6471/aaf5fc

关键词

effective field theory; Bayesian; parameter estimation; nucleon-nucleon scattering

资金

  1. US National Science Foundation [PHY-1614460]
  2. NUCLEI SciDAC Collaboration under US Department of Energy MSU subcontract [RC107839-OSU]
  3. Salisbury University
  4. US Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists, Office of Science Graduate Student Research (SCGSR) program
  5. DOE [DESC0014664]
  6. US Department of Energy [DE-FG02-93ER-40756]
  7. ExtreMe Matter Institute EMMI at the GSI Helmholtzzentrum fur Schwerionenphysik, Darmstadt, Germany

向作者/读者索取更多资源

We recently developed a Bayesian framework for parameter estimation in general effective field theories. Here we present selected results from using that framework to estimate parameters with a nucleon-nucleon (NN) potential derived using chiral effective field theory (chi EFT): the semi-local NN potential of Epelbaum, Krebs, and Mei beta ner (EKM). There are many NN scattering data, up to high energies, and with rather small errors. Imposing a penalty for unnatural low-energy constants (LECs) therefore has a small effect on the fits, unless only a small fraction of the NN data is used in the fit. In contrast, we have found that including an estimate of higher orders in chi EFT plays an important role in robust parameter estimation. We present two case studies where our Bayesian machinery illuminates physics issues. The first involves the EKM potential at fourth order in the chi EFT expansion: the two-dimensional posterior probability density function (pdf) for the fourth-order s-wave LECs obtained from the Nijmegen PWA93 phase shifts indicates these parameters in the NN potential are degenerate. We trace this feature of the pdf to the presence of an operator in the fourth-order NN potential that vanishes on-shell. The second case study examines the stability of LEC extractions as more data at higher energies are included in the fit. We show that as long as chi EFT truncation errors are properly accounted for in the parameter estimation, the LEC values extracted using our Bayesian approach are not sensitive to the maximum energy chosen for the fit. Uncorrelated and fully correlated models for the truncation errors are compared, pointing the way to the use of Gaussian processes to more generally model the correlation structure.

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