A neural network framework informed by lattice QCD uses all-order dispersion relations to significantly constrain both real and imaginary parts of Compton Form Factors extracted from DVCS proton data.
Analytic Properties of Hard Exclusive Amplitudes
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abstract
Analytic properties of hard exclusive processes described by Generalized Parton Distributions (GPD's) are considered. The analytic continuation of GPD is provided by Generalized Distribution Amplitudes (GDA). The GDA's for the production of two $\rho-$mesons may give an access to four-quark exotic states. The crucial role in the proof of analyticity is played by the Cavalieri conditions (polynomiality), resulting in the "holographic" property of GPD, when the full information about various hard processes is contained in the one dimensional sections ($x=\pm \xi$)of GPD. The applicability of analyticity for description of the double diffractive production of dileptons and Higgs bosons is discussed.
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UNVERDICTED 2representative citing papers
The letter proposes an experimental positron program at JLab to address two-photon exchange, nucleon GPDs, and dark photon searches via electron-positron comparisons.
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Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network
A neural network framework informed by lattice QCD uses all-order dispersion relations to significantly constrain both real and imaginary parts of Compton Form Factors extracted from DVCS proton data.
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Physics with Positron Beams at Jefferson Lab 12 GeV
The letter proposes an experimental positron program at JLab to address two-photon exchange, nucleon GPDs, and dark photon searches via electron-positron comparisons.