scholarly journals Negative binomial multiplicity distributions in high energy hadron collisions

1986 ◽  
Vol 30 (3) ◽  
pp. 391-400 ◽  
Author(s):  
A. Giovannini ◽  
L. Hove
Keyword(s):  
Negative Binomial ◽  
High Energy ◽  
Multiplicity Distributions ◽  
Energy Hadron

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.

scholarly journals Multiplicity moments using Tsallis statistics in high-energy hadron–nucleus interactions

2020 ◽  
Vol 29 (04) ◽  
pp. 2050021
Author(s):  
S. Sharma ◽  
G. Chaudhary ◽  
K. Sandeep ◽  
A. Singla ◽  
M. Kaur
Keyword(s):  
High Energy ◽  
Fixed Target ◽  
Charged Multiplicity ◽  
Tsallis Statistics ◽  
Gamma Distributions ◽  
Scaling Hypothesis ◽  
Target Experiment ◽  
Multiplicity Distributions ◽  
Energy Hadron ◽  
Experimental Values

The study of higher-order moments of a distribution and its cumulants constitute a sensitive tool to investigate the correlations between the particle produced in high-energy interactions. In our previous work, we have used the Tsallis [Formula: see text] statistics, NBD, Gamma and shifted Gamma distributions to describe the multiplicity distributions in [Formula: see text]-nucleus and [Formula: see text]-nucleus fixed target interactions at various energies ranging from [Formula: see text][Formula: see text]GeV to 800[Formula: see text]GeV. In this study, we have extended our analysis by calculating the moments using the Tsallis model at these fixed target experiment data. By using the Tsallis model, we have also calculated the average charged multiplicity and its dependence on energy. It is found that the average charged multiplicity and moments predicted by the Tsallis statistics are in much agreement with the experimental values and indicates the success of the Tsallis model on data from visual detectors. The study of moments also illustrates that KNO scaling hypothesis holds good at these energies.

Scaling of multiplicity distributions in high energy hadron collisions

1972 ◽  
Vol 40 ◽  
pp. 317-334 ◽  
Author(s):  
Z. Koba ◽  
H.B. Nielsen ◽  
P. Olesen
Keyword(s):  
High Energy ◽  
Multiplicity Distributions ◽  
Energy Hadron

Multiplicity distributions and normalized cumulants of low- and high-energy hadron-hadron scattering. — II

1977 ◽  
Vol 38 (1) ◽  
pp. 38-49 ◽  
Author(s):  
M. Garetto ◽  
A. Giovannini ◽  
E. Calligarich ◽  
G. Cecchet ◽  
R. Dolfini ◽  
...  
Keyword(s):  
High Energy ◽  
Multiplicity Distributions ◽  
Energy Hadron

A UNIFIED VIEW OF MULTIPLICITY DISTRIBUTIONS BASED ON A PURE BIRTH PROCESS

1994 ◽  
Vol 09 (36) ◽  
pp. 3359-3366 ◽  
Author(s):  
S. CHATURVEDI ◽  
V. GUPTA ◽  
S.K. SONI
Keyword(s):  
Negative Binomial ◽  
Initial Conditions ◽  
Probability Distributions ◽  
High Energy ◽  
Particle Multiplicity ◽  
Charged Particle Multiplicity ◽  
Birth Process ◽  
Unified View ◽  
High Energy Collisions ◽  
Multiplicity Distributions

Various probability distributions which have been proposed to explain the charged particle multiplicity distributions in high energy collisions are shown to arise from the evolution equation of a pure birth process subject to appropriate initial conditions. For example, both the negative binomial distribution (NBD) as well as the partially coherent laser distribution (PCLD) can be obtained in this way. New interrelations between some of these probability distributions are also brought out.

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