Published November 2005
| Version v1
Journal article
New NLO parameterizations of the parton distributions in real photons
Creators
- 1. Universite de Savoie, LAPTH, Annecy-le-Vieux (France)
- 2. Universite Paris XI, Laboratoire de Physique Theorique, Orsay (France)
Description
We present new next-to-leading-order (NLO) sets of parton distributions in real photons based on a scheme-invariant definition of the non-perturbative input. We compare the theoretical predictions with LEP data and a best fit allows us to constrain the parameters of the distributions. The shape of the gluon distribution is poorly constrained and we consider the possibility to measure it in photoproduction experiments. Three parameterizations that aim to take into account the scattering of the LEP data are proposed and compared to other NLO parameterizations. (orig.)
Availability note (English)
Available from: http://dx.doi.org/10.1140/epjc/s2005-02355-1Additional details
Identifiers
Publishing Information
- Journal Title
- European Physical Journal. C
- Journal Volume
- 44
- Journal Issue
- 3
- Journal Page Range
- p. 395-409
- ISSN
- 1434-6044
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 37002853
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- GLUON MODEL; PARTICLE STRUCTURE; PARTON MODEL; PERTURBATION THEORY; PHOTON-PROTON INTERACTIONS; PHOTONS; PHOTOPRODUCTION; QUANTUM CHROMODYNAMICS; SEMI-INCLUSIVE INTERACTIONS; STRUCTURE FUNCTIONS; THEORETICAL DATA; VECTOR DOMINANCE MODEL
- Descriptors DEC
- BASIC INTERACTIONS; BOSONS; COMPOSITE MODELS; DATA; ELECTROMAGNETIC INTERACTIONS; ELEMENTARY PARTICLES; FIELD THEORIES; FUNCTIONS; INCLUSIVE INTERACTIONS; INFORMATION; INTERACTIONS; MASSLESS PARTICLES; MATHEMATICAL MODELS; NUMERICAL DATA; PARTICLE INTERACTIONS; PARTICLE MODELS; PARTICLE PRODUCTION; PHOTON-BARYON INTERACTIONS; PHOTON-HADRON INTERACTIONS; PHOTON-NUCLEON INTERACTIONS; QUANTUM FIELD THEORY