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J\"ulich-Bonn-Washington Model for Pion Electroproduction Multipoles

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arxiv 2104.07312 v1 pith:UNL3RCOH submitted 2021-04-15 nucl-th hep-phnucl-ex

Maxim Mai , Michael Döring , Carlos Granados , Helmut Haberzettl , Ulf-G. Mei{ss}ner , Deborah Rönchen , Igor Strakovsky , Ron Workman This is my paper · ORCID
classification nucl-thhep-phnucl-ex
keywords dataconstraintselectroproductionmodelpionallowsamplitudesanalyzed
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abstract

Pion electroproduction off the proton is analyzed in a new framework based on a general parametrization of transition amplitudes, including constraints from gauge invariance and threshold behavior. Data with energies $1.13~{\rm GeV}<W<1.6~{\rm GeV}$ and $Q^2$ below $6~{\rm GeV}^2$ are included. The model is an extension of the latest J\"ulich-Bonn solution incorporating constraints from pion-induced and photoproduction data. Performing large scale fits ($\sim10^5$ data) we find a set of solutions with $\chi^2_{\rm dof}=1.69-1.81$ which allows us to assess the systematic uncertainty of the approach.

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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. The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach

    hep-ph 2026-06 unverdicted novelty 6.5 of 10

    Unitary coupled-channel three-body model fitted to COMPASS data reproduces the a1(1420) enhancement via triangle singularity, indicating no genuine resonance pole is required.

  2. Coupled-channel approach to isotensor $\pi\pi\pi$ scattering from lattice QCD

    hep-lat 2026-01 conditional novelty 6.0 of 10

    The I=2 three-pion spectrum from lattice QCD is described by a repulsive rho-pi S-wave interaction, consistent with a leading-order effective Lagrangian.

  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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