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

被引:0
|
作者
Bub, J. M. [1 ]
Piarulli, M. [1 ,2 ]
Furnstahl, R. J. [3 ]
Pastore, S. [1 ,2 ]
Phillips, D. R. [4 ,5 ,6 ]
机构
[1] Washington Univ St Louis, Dept Phys, St Louis, MO 63130 USA
[2] Washington Univ, McDonnell Ctr Space Sci, St Louis, MO 63130 USA
[3] Ohio State Univ, Dept Phys, Columbus, OH 43210 USA
[4] Ohio Univ, Inst Nucl & Particle Phys, Athens, OH 45701 USA
[5] Ohio Univ, Dept Phys & Astron, Athens, OH 45701 USA
[6] Chalmers Univ Technol, Dept Phys, SE-41296 Gothenburg, Sweden
基金
美国国家科学基金会;
关键词
PROTON-PROTON SCATTERING; DEUTERON SCATTERING; RENORMALIZATION-GROUP; CHIRAL LAGRANGIANS; POLARIZATION; FORCES; QUARKS;
D O I
10.1103/PhysRevC.111.034005
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
We perform Bayesian model calibration of two-nucleon (NN) low-energy constants (LECs) appearing in an NN interaction based on pionless effective field theory (/pi 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(p2)] and next-to-next-to-next-to-leading order [N3LO, O(p4)]. We consider two classes of /pi 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 Elab = 5 MeV. Our analysis accounts for the correlated uncertainties that arise from the truncation of the /pi EFT. We simultaneously estimate both the EFT LECs and the parameters that quantify the truncation error. This permits quantitative estimates of the /pi EFT breakdown scale, Ab: the 95% intervals are Ab is an element of [50.11, 63.03] MeV at NLO and Ab is an element of [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 /pi EFT. This exemplifies the possible use of Bayesian tools to identify inconsistencies in a proposed EFT power counting.
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页数:24
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