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Gravitational Form Factors and Mechanical Properties of Quarks in Protons: A Basis Light-Front Quantization Approach

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arxiv 2403.11702 v1 pith:HZZNS4MU submitted 2024-03-18 hep-ph

classification hep-ph
keywords light-frontformmechanicalbasisblfqdifferentdistributionsfactors
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We compute the gravitational form factors (GFFs) and study their applications for the description of the mechanical properties such as the pressure, shear force distributions, and the mechanical radius of the proton from its light-front wave functions (LFWFs) based on basis light-front quantization (BLFQ). The LFWFs of the proton are given by the lowest eigenvector of a light-front effective Hamiltonian that incorporates a three-dimensional confining potential and a one-gluon exchange interaction with fixed coupling between the constituent quarks solved in the valence Fock sector. We find acceptable agreement between our BLFQ computations and the lattice QCD for the GFFs. Our $D$-term form factor also agrees well with the extracted data from the deeply virtual Compton scattering experiments at Jefferson Lab, and the results of different phenomenological models. The distributions of pressures and shear forces are similar to those from different models.

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Forward citations

Cited by 8 Pith papers

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

  1. Proton Gravitational Structure and Mass Decomposition on the Light Front

    hep-ph 2025-06 conditional novelty 6.0 of 10

    Using a light-front Hamiltonian with three-quark and three-quark-plus-gluon Fock sectors, the authors extract quark and gluon gravitational form factors and find a proton mass decomposition of 31.5% quark energy, 34.7...

  2. Off forward non-SCHC contributions to exclusive vector quarkonium production from the "spin dependent BFKL Pomeron"

    hep-ph 2025-06 conditional novelty 6.0 of 10

    The spin-dependent BFKL Pomeron generates proton-helicity-flip amplitudes in exclusive quarkonium photoproduction at order momentum transfer squared, with explicit eikonal expressions and quark-model estimates.

  3. Dispersive Determination of Nucleon Gravitational Form Factors

    hep-ph 2024-11 conditional novelty 6.0 of 10

    Using unitarity and dispersion relations, the paper extracts a nucleon D-term of -3.38 and a scalar trace density radius of 0.97 fm at the physical pion mass.

  4. Exclusive $J/\psi$ photoproduction in photon-proton diffractive scattering: A light-front Hamiltonian approach

    hep-ph 2026-07 conditional novelty 5.0 of 10

    BLFQ proton and J/ψ light-front wave functions yield a slightly lower exclusive J/ψ photoproduction cross section than prior models, with matching exponential slope B≈3 GeV^{-2}, usable as BK initial conditions.

  5. Basis light-front quantization approach to deuteron

    hep-ph 2025-05 conditional novelty 5.0 of 10

    Using basis light-front quantization with a six-quark plus one-gluon Fock space, the authors report that hidden color states dominate the deuteron wave function at 55.5% probability.

  6. Mechanical properties of the nucleon from the generalized parton distributions

    hep-ph 2025-01 conditional novelty 5.0 of 10

    Using a double-distribution GPD model constrained by elastic-scattering data, the paper fits DQ(0) = -3.37 ± 0.17 from Compton form factors and derives proton pressure, shear, and radii.

  7. Proton Structure from a Soft-Wall Holographic QCD Model: Mass Spectrum, Form Factors, and Mechanical Properties

    hep-ph 2025-12 conditional novelty 4.0 of 10

    A soft-wall holographic model reproduces proton spectroscopy, form factors, radii, and J/ψ photoproduction, though the gravitational form factor D is an input-dependent ansatz.

  8. The nucleon structure from an AdS/QCD model in the Veneziano limit

    nucl-th 2025-02 reject novelty 4.0 of 10

    Using the VQCD holographic model, the authors compute four sets of proton observables that match experiment and lattice data, but many inputs are fitted rather than predicted.

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