4.7 Article

Uncertainty quantification for proton-proton fusion in chiral effective field theory

Journal

PHYSICS LETTERS B
Volume 760, Issue -, Pages 584-589

Publisher

ELSEVIER
DOI: 10.1016/j.physletb.2016.07.032

Keywords

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Funding

  1. U.S. Department of Energy, Office of Science, Office of Nuclear Physics [DE-AC05-00OR22725]
  2. National Science Foundation [PHY-1516077]
  3. European Research Council under the European Community's Seventh Framework Programme (FP7)/ERC [240603]
  4. Swedish Foundation for International Cooperation in Research and Higher Education (STINT) [IG2012-5158]
  5. Division Of Physics
  6. Direct For Mathematical & Physical Scien [1516077] Funding Source: National Science Foundation

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We compute the S-factor of the proton-proton (pp) fusion reaction using chiral effective field theory (chi EFT) up to next-to-next-to-leading order (NNLO) and perform a rigorous uncertainty analysis of the results. We quantify the uncertainties due to (i) the computational method used to compute the pp cross section in momentum space, (ii) the statistical uncertainties in the low-energy coupling constants of chi EFT, (iii) the systematic uncertainty due to the chi EFT cutoff, and (iv) systematic variations in the database used to calibrate the nucleon-nucleon interaction. We also examine the robustness of the polynomial extrapolation procedure, which is commonly used to extract the threshold S-factor and its energy-derivatives. By performing a statistical analysis of the polynomial fit of the energy-dependent S-factor at several different energy intervals, we eliminate a systematic uncertainty that can arise from the choice of the fit interval in our calculations. In addition, we explore the statistical correlations between the S-factor and few-nucleon observables such as the binding energies and point-proton radii of H-2,H-3 and He-3 as well as the D-state probability and quadrupole moment of H-2, and the beta-decay of 3H. We find that, with the state-of-the-art optimization of the nuclear Hamiltonian, the statistical uncertainty in the threshold S-factor cannot be reduced beyond 0.7%. (C) 2016 The Authors. Published by Elsevier B.V.

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