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Chiral Extrapolations of the $\boldsymbol{\rho(770)}$ Meson in $\mathbf{N_f=2+1}$ Lattice QCD Simulations

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arxiv 1704.06248 v2 pith:JIGZGZWQ submitted 2017-04-20 hep-lat nucl-th

B. Hu , R. Molina , M. Döring , M. Mai , A. Alexandru This is my paper · ORCID
classification hep-latnucl-th
keywords chiraldatalatticeanalysisextrapolationsmodelrecentsimulations
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

Recent $N_f=2+1$ lattice data for meson-meson scattering in $p$-wave and isospin $I=1$ are analyzed using a unitarized model inspired by Chiral Perturbation Theory in the inverse-amplitude formulation for two and three flavors. Chiral extrapolations are performed that postdict phase shifts extracted from experiment quite well. In addition, the low-energy constants are compared to the ones from a recent analysis of $N_f=2$ lattice QCD simulations to check for the consistency of the hadronic model used here. Some inconsistencies are detected in the fits to $N_f=2+1$ data, in contrast to the previous analysis of $N_f=2$ data.

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Forward citations

Cited by 3 Pith papers

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

  1. Resonances at finite temperature from the lattice

    hep-lat 2026-07 conditional novelty 7.0 of 10

    Thermoparticle states are used to generalize the two-particle finite-volume quantization condition to finite temperature, keeping the kinematic function finite at all real energies and opening a route to thermal reson...

  2. A cross-channel study of pion scattering from lattice QCD

    hep-lat 2019-08 conditional novelty 6.0 of 10

    A correlated three-channel fit of unitarized chiral perturbation theory to lattice QCD pion spectra yields precise physical-point scattering lengths and sigma and rho poles, but with a low rho mass.

  3. Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification

    hep-ph 2025-07 conditional novelty 5.0 of 10

    Simulation-based inference trained on synthetic scattering data yields rho(770) pole estimates closer to reference values than chi-squared minimization in the tested misspecification cases.

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