Study for a model-independent pole determination of overlapping resonances

Binosi, Daniele; Pilloni, A.; Tripolt, Ralf-Arno

doi:10.1016/j.physletb.2023.137809

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…This may be a coincidence; however, it was noted in Refs. [61,62] that the RVP method has the ability to identify threshold energies and poles. Because the underlying function reconstructed using this method exhibits non-canonicality as it approaches the poles, and this non-canonical behavior provides a clear indication of the region where the poles are located, we believe that there may an interesting physics phenomenon at , which we will investigate in our subsequent research.…”

Section: Results With Model-independent Algorithmmentioning

confidence: 99%

Gravitational form factors of the proton from near-threshold vector meson photoproduction*

Wang 王,

Zeng 曾,

Zhang 张

2024

Chinese Phys. C

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We embark on a systematical analysis of the quark and gluon gravitational form factors (GFFs) of the proton, by connecting energy-momentum tensor (EMT) and the near-threshold vector meson photoproduction (NTVMP). Concretely, the quark contributions of GFFs are determined by global fitting the cross section of the lightest vector meson ρ0 photoproduction. Combined with the gluon GFFs achieved from heavy quarko nium J/ψ photoproduction data, the complete GFFs are obtained and compared with the experimental results and Lattice QCD determinations. In addition, we use the Resonances Via Pad´e (RVP) method based on the Schlessinger Point Method (SPM) to obtain a model-independent quark D-term distribution by direct analytical continuation of Deep Virtual Compton Scattering (DVCS) experimental data. If errors are considered, the results obtained by RVP are basically consistent with those obtained by NTVMP. Moreover, the comprehensive information on GFFs helps us to uncover the mass distribution and mechanical properties inside the proton. This work is not only an important basis for delving the proton enigmatic properties, but also have significance theoretical guiding for future JLab and EICs experimental measurements. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.

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Section: Results With Model-independent Algorithmmentioning

confidence: 99%

Gravitational form factors of the proton from near-threshold vector meson photoproduction*

Wang 王,

Zeng 曾,

Zhang 张

2024

Chinese Phys. C

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“…[78,79]; overcoming the challenge of large mass imbalances between valence degrees-of-freedom in delivering predictions for the semileptonic decays of heavy+light mesons, e.g., Ref. [80]; the analysis of light-nuclei deep inelastic scattering data [81] and its interpretation in terms of parton distribution functions [14]; the identification of resonance poles in particle decays [17]; and the identification of crossing odd states (the odderon) in the t-channel of high-energy elastic hadron+hadron scattering [82].…”

Section: Discussionmentioning

confidence: 99%

“…of the form factor G one is measuring. Herein, we describe a new technique known as the statistical Schlessinger point method (SPM) [9][10][11], applicable in the same form to a wide variety of measurements [12][13][14][15][16][17]. When applied to high-precision, dense electron-hadron scattering data stretching to very low momentum transfers, it returns a determination of the radius which is completely data-driven.…”

Section: Introductionmentioning

confidence: 99%

Data-driven extraction of hadron radii

Binosi

2023

Preprint

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We describe the statistical Schlessinger Point Method. Grounded in analytic function theory, this method returns an objective assessment of the information contained in any data under consideration, which is independent of assumptions about underlying dynamics, and thus free from practitioner-induced bias. As a test to its robust nature and versatility, we apply it to a fully data-driven extraction of the proton, pion, and deuteron radii.

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Data-Driven Extraction of Hadron Radii

Binosi

2023

Few-Body Syst

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Study for a model-independent pole determination of overlapping resonances

Cited by 5 publications

References 42 publications

Gravitational form factors of the proton from near-threshold vector meson photoproduction*

Gravitational form factors of the proton from near-threshold vector meson photoproduction*

Data-driven extraction of hadron radii

Data-Driven Extraction of Hadron Radii

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