Published May 9, 1991 | Version v1
Journal article Metadata-only

Intermittency effects in a two-component model

Creators

  • 1. European Organization for Nuclear Research, Geneva (Switzerland)
  • 2. National Research Centre for the Physical Sciences Democritos, Athens (Greece). Inst. of Nuclear Physics
  • 3. Ethnikon Metsovion Polytechneion, Athens (Greece). Dept. of Physics

Description

We study the intermittency phenomenon in high-energy collisions assuming that a new component in particle production processes, corresponding to a higher-order phase transition in the Feynman-Wilson fluid, coexists incoherently with a conventional production mechanism characterized by standard, finite-range correlations in rapidity space. The complementary effects of these two components are investigated and the origin of the power-law behaviour of the scaled factorial moments in present experiments is discussed. (orig.)

Additional details

Publishing Information

Journal Title
Physics Letters, (Section) B
Journal Volume
260
Journal Issue
1/2
Series
Phys. Lett., B.
Journal Page Range
199-203
ISSN
0370-2693
CODEN
PYLBA

INIS

Country of Publication
Netherlands
Country of Input or Organization
Netherlands
INIS RN
22079329
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Descriptors DEI
CORRELATIONS; DEEP INELASTIC SCATTERING; FLUCTUATIONS; FLUIDS; GEV RANGE 10-100; GEV RANGE 100-1000; HADRONS; INTERACTION RANGE; MULTIPLE PRODUCTION; MULTIPLICITY; MUON-PROTON INTERACTIONS; PARTICLE RAPIDITY; PHASE TRANSFORMATIONS; PROTON-PROTON INTERACTIONS; SCALING LAWS; THERMODYNAMIC MODEL
Descriptors DEC
BARYON-BARYON INTERACTIONS; DISTANCE; ELEMENTARY PARTICLES; ENERGY RANGE; GEV RANGE; HADRON-HADRON INTERACTIONS; INELASTIC SCATTERING; INTERACTIONS; LEPTON-BARYON INTERACTIONS; LEPTON-HADRON INTERACTIONS; LEPTON-NUCLEON INTERACTIONS; MATHEMATICAL MODELS; MUON-NUCLEON INTERACTIONS; NUCLEON-NUCLEON INTERACTIONS; PARTICLE INTERACTIONS; PARTICLE MODELS; PARTICLE PRODUCTION; PARTICLE PROPERTIES; PROTON-NUCLEON INTERACTIONS; SCATTERING; STATISTICAL MODELS; VARIATIONS