Meson photoproduction in the statistical approach to dual hadrodynamics
Creators
- 1. International Centre for Theoretical Physics, Trieste (Italy)
Description
We study the application of the dual theory of hadron electromagnetic currents to meson photoproduction. The "statistical approximation" of Chang, Freund and Nambu to the dual resonance model is used for calculating the Born approximation Feynman graphs. A technique for constructing gauge-invariant amplitudes in the limit of statistical approximation to the dual amplitudes is developed. It is found that the vector-meson photoproduction amplitude in this model has similar properties to those of the vector-meson dominance model based on the photon vector analogy. The model developed is applied to data of the process γp →ρ0p. The fit to ρ photoproduction differential cross-section allows us to estimate the charge distribution weight function of the dual hadrodynamics.
Additional details
Additional titles
- Subtitle (English)
- Application to rho"0 photoproduction
Identifiers
- DOI
- 10.1143/ptp.48.2283;
Publishing Information
- Journal Title
- Progress of Theoretical Physics
- Journal Volume
- 48
- Journal Issue
- 6
- Series
- Progr. Theor. Phys. (Kyoto).
- Journal Page Range
- 2283-2300
- ISSN
- 0033-068X
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 4069680
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- BORN APPROXIMATION; DIFFERENTIAL CROSS SECTIONS; DIFFRACTION MODELS; DUAL RESONANCE MODEL; FEYNMAN DIAGRAM; GAUGE INVARIANCE; HELICITY; PHOTOPRODUCTION; PROTONS; RHO-765 RESONANCES; STATISTICAL MODELS
- Descriptors DEC
- BARYONS; BOSONS; CROSS SECTIONS; DIAGRAMS; ELECTROMAGNETIC INTERACTIONS; ELEMENTARY PARTICLES; FERMIONS; HADRONS; INTERACTIONS; INVARIANCE PRINCIPLES; MATHEMATICAL MODELS; MESON RESONANCES; MESONS; NUCLEONS; PARTICLE MODELS; PARTICLE PRODUCTION; PARTICLE PROPERTIES; RESONANCE PARTICLES; VENEZIANO MODEL
Optional Information
- Notes
- Updated automatically by Metadata and Full-Text Enrichment Agent