Femtophotography of protons to nuclei with deeply virtual Compton scattering
By J. Ralston, B. Pire. 2001
143 citations recorded by the source corpus.
Developments in deeply virtual Compton scattering allow the direct measurements of scattering amplitudes for exchange of a highly virtual photon with fine spatial resolution. Real-space images of the target can be obtained from this information. Spatial resolution is determined by the momentum transfer rather than the wavelength of the detected photon. Quantum photographs of the proton, nuclei, and other elementary particles with resolution on the scale of a fraction of a femtometer is feasible with existing experimental technology.
Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/e970b5d293fc5cc82b6585d88fa5e21ade1323ef
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In Nuclear and High Energy Physics
- Guy F. de Téramond
- S. Brodsky
- A. Belitsky
- S. Meissner
- A. Kirchner
- D. Müller
- Marc Schlegel
- Andreas Metz
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- Generalized parton correlation functions for a spin-0 hadron (2008, background): “ [2, 3, 4, 5]). In particular, when being transformed to the impact parameter space, GPDs contain information about the spatial distribution of partons in a plane perpendicular to the hadron momentum [6, 7, 8, 9]. The second kind of generalized functions, the transverse momentum dependent parton dis”
- Light-Front Dynamics and AdS/QCD Correspondence: The Pion Form Factor in the Space- and Time-Like Regions (2007, background): “The deeply virtual Compton amplitudes can be Fourier transformed to b⊥ and σ = x−P+/2 space providing new insights into QCD distributions [82, 83, 84, 85, 86].”
- Theory of deeply virtual Compton scattering on the nucleon (2001, methodology): “ >ξ, and exclusive distribution amplitudes for |x| <ξ. Moreover, their experimental exploration will resolve the target from different perspectives and will enable to obtain its real-space image [50, 51]. 30 To model the GPDs we will use the representation in terms of the so-called double distr”