Reconstructing transition GPDs for Δ(1232) from helicity amplitude A<sub>1/2</sub>(Q<sup>2</sup>) via dipole fits and impact parameter analysis

Abstract This work presents a modular reconstruction of the transition generalized parton distribution (GPD) H_T(x,t) for the Δ(1232) resonance, based on digitized helicity amplitude data and dipole fits to A_1/2(Q^2). From the fitted amplitude, we extract a Sachs-like form factor F(t) and define a separable GPD model H_T(x,t) = h(x)F(t), with h(x) modeled as a normalized Beta-like profile. This factorized ansatz satisfies the GPD sum rule and enables a direct two-dimensional Fourier transform to construct transverse spatial distributions q(x,b). We analyze how longitudinal shaping modulates transverse localization, and quantify spatial features using statistical diagnostics including mean radius, skewness, and kurtosis. The framework is reproducible, data-driven, and applicable to other transition channels, providing a physically interpretable map from amplitude behavior to spatial structure.

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Publication Details

Journal
Journal of Physics G Nuclear and Particle Physics
Published
2025-09-25
DOI
https://doi.org/10.1088/1361-6471/ae0b99
Primary Topic
Quantum Chromodynamics and Particle Interactions
Type
article
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article

Reconstructing transition GPDs for Δ(1232) from helicity amplitude A1/2(Q2) via dipole fits and impact parameter analysis

Ralph Marinaro
Journal of Physics G Nuclear and Particle Physics
Quantum Chromodynamics and Particle Interactions
article

Reconstructing transition GPDs for Δ(1232) from helicity amplitude A1/2(Q2) via dipole fits and impact parameter analysis

Ralph Marinaro
article en

Abstract

Abstract This work presents a modular reconstruction of the transition generalized parton distribution (GPD) H_T(x,t) for the Δ(1232) resonance, based on digitized helicity amplitude data and dipole fits to A_1/2(Q^2). From the fitted amplitude, we extract a Sachs-like form factor F(t) and define a separable GPD model H_T(x,t) = h(x)F(t), with h(x) modeled as a normalized Beta-like profile. This factorized ansatz satisfies the GPD sum rule and enables a direct two-dimensional Fourier transform to construct transverse spatial distributions q(x,b). We analyze how longitudinal shaping modulates transverse localization, and quantify spatial features using statistical diagnostics including mean radius, skewness, and kurtosis. The framework is reproducible, data-driven, and applicable to other transition channels, providing a physically interpretable map from amplitude behavior to spatial structure.

Journal of Physics G Nuclear and Particle Physics
Christopher Newport University (US)
Openalex Percentile: Top 89%
Quantum Chromodynamics and Particle Interactions
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