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Cited by 279

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Quantifying truncation errors in effective field theory

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Furnstahl, R. J., Klco, N., Phillips, D. R., Wesolowski, S.·2015·Physical Review C

Abstract

Bayesian procedures designed to quantify truncation errors in perturbative calculations of quantum chromodynamics observables are adapted to expansions in effective field theory (EFT). In the Bayesian approach, such truncation errors are derived from degree-of-belief (DOB) intervals for EFT predictions. Computation of these intervals requires specification of prior probability distributions (``priors'') for the expansion coefficients. By encoding expectations about the naturalness of these coefficients, this framework provides a statistical interpretation of the standard EFT procedure where truncation errors are estimated using the order-by-order convergence of the expansion. It also permits exploration of the ways in which such error bars are, and are not, sensitive to assumptions about EFT-coefficient naturalness. We first demonstrate the calculation of Bayesian probability distributions for the EFT truncation error in some representative examples and then focus on the application of chiral EFT to neutron-proton scattering. Epelbaum, Krebs, and Mei\ss{}ner recently articulated explicit rules for estimating truncation errors in such EFT calculations of few-nucleon-system properties. We find that their basic procedure emerges generically from one class of naturalness priors considered and that all such priors result in consistent quantitative predictions for 68% DOB intervals. We then explore several methods by which the convergence properties of the EFT for a set of observables may be used to check the statistical consistency of the EFT expansion parameter.

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Metadata

Authors
Furnstahl, R. J., Klco, N., Phillips, D. R., & Wesolowski, S.
Venue
Physical Review C
Published
2015-08-18
Volume
92
Issue
2
ISSN
  • 0556-2813 (ISSN-L)
  • 1089-490X
OpenAlex
W610011498
Cited by
279
References
35
FWCI
9.53
Type
journal article
Language
en
Open access
green

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