4.5 Article

Hadron and light nucleus radii from electron scattering*

期刊

CHINESE PHYSICS C
卷 46, 期 12, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1674-1137/ac89d0

关键词

elastic electromagnetic form factors; lepton scattering from hadrons and light nuclei; emergence of mass; muonic atoms; proton; Nambu-Goldstone modes; pion and kaon; deuteron; strong interactions in the standard model of particle physics

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Radii are simple Poincare-invariant properties associated with hadrons and light nuclei. Recent measurements and analyses have shown uncertainties and imprecisions in the radii of the proton, pion, kaon, and deuteron. The statistical Schlessinger point method (SPM), independent of practitioner-induced bias, provides an objective expression of the information contained in any data and is applicable to diverse systems and observables.
Conceptually, radii are amongst the simplest Poincare-invariant properties that can be associated with hadrons and light nuclei. Accurate values of these quantities are necessary so that one may judge the character of putative solutions to the strong interaction problem within the Standard Model. However, limiting their ability to serve in this role, recent measurements and new analyses of older data have revealed uncertainties and imprecisions in the radii of the proton, pion, kaon, and deuteron. In the context of radius measurement using electron+hadron elastic scattering, the past decade has shown that reliable extraction requires minimisation of bias associated with practitioner-dependent choices of data fitting functions. Different answers to that challenge have been offered; and this perspective describes the statistical Schlessinger point method (SPM), in unifying applications to proton, pion, kaon, and deuteron radii. Grounded in analytic function theory, independent of assumptions about underlying dynamics, free from practitioner-induced bias, and applicable in the same form to diverse systems and observables, the SPM returns an objective expression of the information contained in any data under consideration. Its robust nature and versatility make it suitable for use in many branches of experiment and theory.

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