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Bayesian analysis of nucleon-nucleon scattering data in pionless effective field theory

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arxiv 2408.02480 v1 pith:2ZZRURJK submitted 2024-08-05 nucl-th physics.data-an

classification nucl-thphysics.data-an
keywords pionlessanalysisbayesianlambdacalibrationclassesdatadimensional
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We perform Bayesian model calibration of two-nucleon ($NN$) low-energy constants (LECs) appearing in an $NN$ interaction based on pionless effective field theory (EFT). The calibration is carried out for potentials constructed using naive dimensional analysis in $NN$ relative momenta ($p$) up to next-to-leading order [NLO, $O(p^2)$] and next-to-next-to-next-to-leading order [N3LO, $O(p^4)$]. We consider two classes of pionless EFT potential: one that acts in all partial waves and another that is dominated by $s$-wave physics. The two classes produce broadly similar results for calibrations to $NN$ data up to $E_{\rm lab}=5$ MeV. Our analysis accounts for the correlated uncertainties that arise from the truncation of the pionless EFT. We simultaneously estimate both the EFT LECs and the parameters that quantify the truncation error. This permits the first quantitative estimates of the pionless EFT breakdown scale, $\Lambda_b$: the 95% intervals are $\Lambda_b \in [50.11,63.03]$ MeV at NLO and $\Lambda_b \in [72.27, 88.54]$ MeV at N3LO. Invoking naive dimensional analysis for the $NN$ potential, therefore, does not lead to consistent results across orders in pionless EFT. This exemplifies the possible use of Bayesian tools to identify inconsistencies in a proposed EFT power counting.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Monte Carlo calculation of $\delta_{\rm NS}$ in $^{10}$C using an effective field theory approach

    nucl-th 2025-09 conditional novelty 6.0 of 10

    The first quantum Monte Carlo evaluation of the nuclear-structure-dependent radiative correction in carbon-10 confirms the NCSM dispersion result, with the residual uncertainty set by two undetermined low-energy constants.

  2. Hypernuclei with Neural Network Quantum States

    nucl-th 2025-07 conditional novelty 6.0 of 10

    Neural network quantum states, extended to include Lambda hyperons, reproduce hypernuclear separation energies to within roughly 9% and predict the observed proton-radius shrinkage in 7ΛLi.

  3. The breakdown scale of pionless effective field theory in the three-nucleon sector

    nucl-th 2025-07 conditional novelty 6.0 of 10

    Bayesian analysis of NLO and N2LO neutron-deuteron cross sections places the pionless EFT breakdown scale near 100 MeV, and combining with neutron-proton data shifts the mode close to the pion mass.

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