«Thermal chaos» and «coherence» in multiplicity distributions at high energies

1973 ◽  
Vol 15 (3) ◽  
pp. 543-551 ◽  
Author(s):  
A. Giovannini
Keyword(s):  
High Energies ◽  
Multiplicity Distributions

Information theory and multiplicity distributions at high energies

1976 ◽  
Vol 15 (15) ◽  
pp. 553-559 ◽  
Author(s):  
B. Carazza ◽  
A. Gandolfi
Keyword(s):  
Information Theory ◽  
High Energies ◽  
Multiplicity Distributions

Multiplicity distributions and total cross section at high energies

1977 ◽  
Vol 16 (1) ◽  
pp. 139-141
Author(s):  
B. K. Chung
Keyword(s):  
Total Cross Section ◽  
Cross Section ◽  
High Energies ◽  
Multiplicity Distributions

On the scaling law of multiplicity distributions at high energies

1977 ◽  
Vol 39 (2) ◽  
pp. 301-309
Author(s):  
E. R. Nakamura
Keyword(s):  
Scaling Law ◽  
High Energies ◽  
Multiplicity Distributions

Multiplicity distributions in nucleus-nucleus collisions at high energies

1976 ◽  
Vol 111 (3) ◽  
pp. 461-476 ◽  
Author(s):  
A. Białłas ◽  
M. Bleszyński ◽  
W. Czyż
Keyword(s):  
High Energies ◽  
Multiplicity Distributions

Statistical hadronization and multiplicities in high-energy hadron–nucleus collisions

2017 ◽  
Vol 26 (03) ◽  
pp. 1750006 ◽  
Author(s):  
S. Sharma ◽  
M. Kaur ◽  
S. Thakur
Keyword(s):  
Statistical Mechanics ◽  
Particle Production ◽  
High Energy ◽  
High Energies ◽  
Gamma Distributions ◽  
Charged Particle Production ◽  
Tsallis Distribution ◽  
Multiplicity Distributions ◽  
Statistical Hadronization ◽  
Energy Hadron

Concepts from statistical mechanics and ensemble theory are applied to study the characteristic properties of charged particle production in hadron–nucleus collisions at high energy. In the present study we utilize the predictions from different approaches using statistical mechanics. The Tsallis q-statistics is used to study the regularity in multiplicity distributions in hadron–nucleus collisions at high energies as one of the interesting options. Gamma distributions and a possible microcanonical generalization of Tsallis distribution have also been exploited to describe the data.

Tsallis nonextensive entropy and the multiplicity distributions in high energy leptonic collisions

2016 ◽  
Vol 25 (06) ◽  
pp. 1650041 ◽  
Author(s):  
S. Sharma ◽  
M. Kaur ◽  
Sandeep Kaur
Keyword(s):  
Experimental Data ◽  
Multiplicity Distribution ◽  
High Energy ◽  
New Approach ◽  
High Energies ◽  
Nonextensive Entropy ◽  
Tsallis Distribution ◽  
Multiplicity Distributions ◽  
Better Than

The nonextensive behavior of entropy is exploited to explain the regularity in multiplicity distributions in [Formula: see text] collisions at high energies. The experimental data are analyzed by using Tsallis [Formula: see text]-statistics. We propose a new approach of applying Tsallis [Formula: see text]-statistics, wherein the multiplicity distribution is divided into two components; two-jet and multijet components. A convoluted Tsallis distribution is fitted to the data. It is shown that this method gives the best fits which are several orders better than the conventional fit of Tsallis distribution.

The moments method for the analysis of the multiplicity distributions in nucleus - nucleus collisions at high energies

1996 ◽  
Vol 22 (2) ◽  
pp. 221-230 ◽  
Author(s):  
Alexandru Jipa ◽  
Calin Besliu ◽  
Radu Zaharia ◽  
Aretina David
Keyword(s):  
High Energies ◽  
Moments Method ◽  
Multiplicity Distributions

HADRON PRODUCTION IN THE RESTRICTED RAPIDITY INTERVALS IN PROTON-NUCLEUS INTERACTIONS AT HIGH ENERGIES

1991 ◽  
Vol 06 (05) ◽  
pp. 865-877 ◽  
Author(s):  
MADAN M. AGGARWAL
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Nuclear Emulsion ◽  
Negative Binomial ◽  
Hadron Production ◽  
Target Size ◽  
Multiparticle Production ◽  
High Energies ◽  
Rapidity Interval ◽  
Multiplicity Distributions

Data on 200 and 400 GeV proton interactions with nuclear emulsion have been analyzed. It is found that the multiplicity distributions of the shower particles in the restricted rapidity intervals are well described by the negative binomial distribution (NBD). The dependences of the NBD parameters on rapidity interval, energy and target size have been studied. The results have also been discussed in terms of Giovannini and Van Hove’s clan model of multiparticle production.

A universality hypothesis on the multiplicity distributions at high energies

1977 ◽  
Vol 18 (5) ◽  
pp. 129-133
Author(s):  
B. Carazza ◽  
A. Gandolfi ◽  
L. Girardello
Keyword(s):  
High Energies ◽  
Multiplicity Distributions

A CONNECTION OF INELASTICITY WITH MULTIPLICITY DISTRIBUTION AT HIGH ENERGIES

1992 ◽  
Vol 07 (26) ◽  
pp. 2401-2406 ◽  
Author(s):  
ISAY GOLYAK
Keyword(s):  
Multiplicity Distribution ◽  
Secondary Particles ◽  
High Energies ◽  
The Mean ◽  
Multiplicity Distributions ◽  
Scaling Invariant

The widely known experimental value of the mean coefficient of the inelasticity <K>~0.5 is calculated by the investigation of a connection of the inelasticity with KNO scaling invariant multiplicity distributions of secondary particles.

Sign in / Sign up

Export Citation Format

Share Document