Bayesian analysis of nucleon-nucleon scattering data in pionless effective field theory
J. M. Bub, M. Piarulli, R. J. Furnstahl, S. Pastore, D. R. Phillips

TL;DR
This paper uses Bayesian methods to calibrate low-energy constants in pionless EFT for nucleon-nucleon scattering, providing quantitative estimates of the EFT breakdown scale and highlighting inconsistencies in naive dimensional analysis.
Contribution
It introduces a Bayesian calibration framework for pionless EFT, estimating low-energy constants and EFT breakdown scale while accounting for truncation uncertainties.
Findings
Estimated EFT breakdown scale at NLO and N3LO
Identified inconsistencies in naive dimensional analysis
Provided Bayesian uncertainty quantification for LECs
Abstract
We perform Bayesian model calibration of two-nucleon () low-energy constants (LECs) appearing in an interaction based on pionless effective field theory (EFT). The calibration is carried out for potentials constructed using naive dimensional analysis in relative momenta () up to next-to-leading order [NLO, ] and next-to-next-to-next-to-leading order [N3LO, ]. We consider two classes of pionless EFT potential: one that acts in all partial waves and another that is dominated by -wave physics. The two classes produce broadly similar results for calibrations to data up to 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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Chromodynamics and Particle Interactions · Particle physics theoretical and experimental studies · High-Energy Particle Collisions Research
