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Towards a fitting procedure for deeply virtual Compton scattering at next-to-leading order and beyond

5 Pith papers cite this work. Polarity classification is still indexing.

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abstract

Combining dispersion and operator product expansion techniques, we derive the conformal partial wave decomposition of the virtual Compton scattering amplitude in terms of complex conformal spin to twist-two accuracy. The perturbation theory predictions for the deeply virtual Compton scattering (DVCS) amplitude are presented in next-to-leading order for both conformal and modified minimal subtraction scheme. Within a conformal subtraction scheme, where we exploit predictive power of conformal symmetry, the radiative corrections are presented up to next-to-next-to-leading order accuracy. Here, because of the trace anomaly, the mixing of conformal moments of generalized parton distributions (GPD) at the three-loop level remains unknown. Within a new proposed parameterization for GPDs, we then study the convergence of perturbation theory and demonstrate that our formalism is suitable for a fitting procedure of DVCS observables.

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2026 3 2025 2

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UNVERDICTED 5

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representative citing papers

On the Two $R$-Factors in the Small-$x$ Shockwave Formalism

hep-ph · 2026-04-27 · unverdicted · novelty 5.0

Replacing the rapidity argument of the dipole amplitude with ln min{1/|x|, 1/|ξ|} and refining initial conditions for non-linear evolution can eliminate two R-factors in small-x shockwave calculations.

Compton Form Factor Extraction using Quantum Deep Neural Networks

cs.LG · 2025-04-21 · unverdicted · novelty 4.0

Quantum-inspired deep neural networks extract Compton form factors from JLab data with higher predictive accuracy and tighter uncertainties than classical DNNs on pseudodata benchmarks, then applied to real measurements.

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