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Engineering Confining Dilatons: A WKB Inverse Problem in Holographic QCD

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arxiv 2509.04956 v1 pith:C7RA5W2M submitted 2025-09-05 hep-ph

Engineering Confining Dilatons: A WKB Inverse Problem in Holographic QCD

classification hep-ph
keywords confiningpotentialholographicalphabottom-updatadilatondilatons
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This work presents a WKB-based inverse problem approach within the framework of holographic bottom-up QCD to engineer confining dilatons from hadronic mass spectra. Starting from a general parameterization of nonlinear radial Regge trajectories, $M_n^2=a(n+b)^\nu$, we apply the Rydberg-Klein-Rees (RKR) formula to derive the large-z behavior of the corresponding holographic confining potential. This potential is inversely related to the dilaton field profile, leading naturally to a non-quadratic dilaton $\Phi(z)=(\kappa\,z)^{2-\alpha}$, where the parameters ($\kappa$, $\alpha$) are uniquely determined by the spectral parameters ($a$,$\nu$). We successfully test this method by fitting the spectra of heavy quarkonia ($c\bar{c}$ and $b\bar{b}$), achieving good agreement with experimental data. Furthermore, we extend this formalism to describe the spectroscopy of tetraquark states by superimposing an additional potential term, derived from the Bethe-Salpeter equation for diquarks, onto the standard mesonic confining potential. This work establishes a powerful and flexible bottom-up framework for deriving confinement directly from spectral data, applicable to both conventional and exotic hadrons.

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Cited by 2 Pith papers

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

  1. Non linear Regge trajectories of quarkonia from holography

    hep-ph 2025-12 conditional novelty 6.0

    A bottom-up AdS/QCD model with a new dilaton background produces the n^(2/3) Regge trajectories of quarkonia, matching experimental masses and decay constants.

  2. Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model

    hep-ph 2026-01 conditional novelty 5.0

    A neural-network-parametrized dilaton field reproduces the masses and leptonic decay constants of charmonium and bottomonium with 1.26% and 3.32% RMS errors, but only because those values were used as training data.