scholarly journals What Can We Learn from (Pseudo)Rapidity Distribution in High Energy Collisions?

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Fu-Hu Liu ◽  
Tian Tian ◽  
Jian-Xin Sun ◽  
Bao-Chun Li
Keyword(s):  
Probability Distributions ◽  
High Energy ◽  
Particle Dispersion ◽  
Rapidity Distribution ◽  
Number Density ◽  
Final State ◽  
Proton Proton ◽  
Density Distributions ◽  
Momentum Plane ◽  
High Energy Collisions

Based on the (pseudo)rapidity distribution of final-state particles produced in proton-proton (pp) collisions at high energy, the probability distributions of momenta, longitudinal momenta, transverse momenta (transverse masses), energies, velocities, longitudinal velocities, transverse velocities, and emission angles of the considered particles are obtained in the framework of a multisource thermal model. The number density distributions of particles in coordinate and momentum spaces and related transverse planes, the particle dispersion plots in longitudinal and transverse coordinate spaces, and the particle dispersion plots in transverse momentum plane at the stage of freeze out in high energyppcollisions are also obtained.

Particle Dispersion in Fine Scales of Homogeneous Isotropic Turbulence

2007 ◽  
Author(s):  
M. Sato ◽  
M. Tanahashi ◽  
T. Miyauchi
Keyword(s):  
Isotropic Turbulence ◽  
Major Axis ◽  
Stokes Number ◽  
High Energy ◽  
Energy Dissipation Rate ◽  
Particle Dispersion ◽  
Fine Scale ◽  
Number Density ◽  
Homogeneous Isotropic Turbulence ◽  
Preferential Concentration

Direct numerical simulations of homogeneous isotropic turbulence laden with particles have been conducted to clarify the relationship between particle dispersion and coherent fine scale eddies in turbulence. Dispersion of 106 particles are analyzed for several particle Stokes numbers. The spatial distributions of particles depend on their Stokes number, and the Stokes number that causes preferential concentration of particles is closely related to the time scale of coherent fine scale eddies in turbulence. On the plane perpendicular to the rotating axes of fine scale eddies, number density of particle with particular Stokes number is low at the center of the fine scale eddy, and high in the regions with high energy dissipation rate around the eddy. The maximum number density can be observed at about 1.5 to 2.0 times the eddy radius on the major axis of the fine scale eddy.

TCP (TRUNCATED COMPOUND POISSON) PROCESS FOR MULTIPLICITY DISTRIBUTIONS IN HIGH ENERGY COLLISIONS

1990 ◽  
Vol 05 (04) ◽  
pp. 789-802
Author(s):  
PREM P. SRIVASTAVA
Keyword(s):  
Poisson Process ◽  
Poisson Distribution ◽  
Compound Poisson Process ◽  
Detailed Comparison ◽  
High Energy ◽  
Cluster Decay ◽  
Proton Proton ◽  
Compound Poisson ◽  
High Energy Collisions ◽  
Multiplicity Distributions

On using the Poisson distribution truncated at zero for intermediate cluster decay in a compound Poisson process, we obtain TCP distribution which describes quite well the multiplicity distributions in high energy collisions. A detailed comparison is made between TCP and NB for UA5 data. The reduced moments up to the fifth agree very well with the observed ones. The TCP curves are narrower than NB at high multiplicity tail, look narrower at very high energy and develop shoulders and oscillations which become increasingly pronounced as the energy grows. At lower energies the curves are very close to the NB ones. We also compare the parametrizations, by these two distributions, of the data for fixed intervals of rapidity for UA5 data and for the data (at low energy) for e+e− annihilation and pion-proton, proton-proton and muon-proton scattering. A discussion of compound Poisson distribution, expressions of reduced moments and Poisson transforms are also given. The TCP curves and curves of the reduced moments for different values of the parameters are also presented.

scholarly journals Transverse Momentum Distributions of Final-State Particles Produced in Soft Excitation Process in High Energy Collisions

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Fu-Hu Liu ◽  
Ya-Hui Chen ◽  
Hua-Rong Wei ◽  
Bao-Chun Li
Keyword(s):  
Transverse Momentum ◽  
Quantum Effect ◽  
Hadron Collider ◽  
Heavy Ion ◽  
High Energy ◽  
Ideal Gas ◽  
Relativistic Heavy Ion Collider ◽  
Final State ◽  
Momentum Distributions ◽  
High Energy Collisions

Transverse momentum distributions of final-state particles produced in soft process in proton-proton (pp) and nucleus-nucleus (AA) collisions at Relativistic Heavy Ion Collider (RHIC) and Large Hadron Collider (LHC) energies are studied by using a multisource thermal model. Each source in the model is treated as a relativistic and quantum ideal gas. Because the quantum effect can be neglected in investigation on the transverse momentum distribution in high energy collisions, we consider only the relativistic effect. The concerned distribution is finally described by the Boltzmann or two-component Boltzmann distribution. Our modeling results are in agreement with available experimental data.

Multi-component Erlang distribution of final-state particles produced in high energy collisions

2012 ◽  
Vol 87 (2) ◽  
pp. 185-193 ◽  
Author(s):  
E. Q. Wang ◽  
H. R. Wei ◽  
M. A. Rahim ◽  
S. Fakhraddin ◽  
F. H. Liu
Keyword(s):  
High Energy ◽  
Erlang Distribution ◽  
Final State ◽  
High Energy Collisions

Formulation of particle pseudo-rapidity (rapidity) distribution in high-energy pp collision and e+e– annihilation

2002 ◽  
Vol 80 (5) ◽  
pp. 533-540
Author(s):  
F -H Liu
Keyword(s):  
Experimental Data ◽  
High Energy ◽  
Rapidity Distribution ◽  
Cylinder Model ◽  
Rapidity Distributions ◽  
High Energy Collisions

The pseudorapidity (rapidity) distributions of particles produced in high-energy collisions are analyzed using the revised thermalized cylinder model. The calculated results are compared and found to be in agreement with the experimental data of pp collision and e+e– annihilation. PACS Nos.: 13.85-t, 13.75-n, 13.85Hd, 13.65+i

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.

Distribution of strange particles transverse momentum and rapidity in high energy proton–proton collisions at s = 0.9 TeV at LHC

2019 ◽  
Vol 35 (05) ◽  
pp. 2050006
Author(s):  
Q. Ali ◽  
Y. Ali ◽  
U. Tabassam ◽  
M. Haseeb ◽  
M. Ikram
Keyword(s):  
Experimental Data ◽  
Transverse Momentum ◽  
Simulation Models ◽  
High Energy ◽  
Rapidity Distribution ◽  
Proton Proton ◽  
Proton Collisions ◽  
Strange Particles ◽  
Good Comparison ◽  
Proton Proton Collisions

In this paper, we have studied the spectra of strange particles in pp collision at [Formula: see text] = 0.9 TeV by using different simulation models, EPOS-1.99, SIBYLL-2.3c, QGSJETII-04 and EPOS-LHC. The transverse momentum and rapidity distribution in the [Formula: see text] range of [Formula: see text] GeV/c and [Formula: see text] GeV/c, respectively, are investigated for the strange particles, [Formula: see text], [Formula: see text], [Formula: see text]. Similarly, a comparative study is done for the ratio of [Formula: see text] and [Formula: see text] as a function of transverse momentum and rapidity. The validity of simulation models is tested by comparing simulation results to the CMS experimental data at [Formula: see text] = 0.9 TeV. For [Formula: see text] distributions, the EPOS-LHC model in the [Formula: see text] range [Formula: see text] GeV/c, [Formula: see text] GeV/c and in [Formula: see text] GeV/c while EPOS-1.99 model in the [Formula: see text] range [Formula: see text] GeV/c and QGSJETII-04 model in the [Formula: see text] range [Formula: see text] GeV/c as well as, [Formula: see text] GeV/c explain the experimental data well. For the, [Formula: see text] and [Formula: see text] versus transverse momentum distributions, EPOS-LHC model in the [Formula: see text] range of, [Formula: see text] GeV/c and [Formula: see text] GeV/c, EPOS-1.99 model in the [Formula: see text] range, [Formula: see text] GeV/c, SIBYLL-2.3c model in the [Formula: see text] range, [Formula: see text] GeV/c and QGSJETII-04 model in the [Formula: see text] range [Formula: see text] GeV/c explain the experimental data very well. Similarly, for [Formula: see text] and [Formula: see text] versus rapidity distribution QGSJETII-04 predictions in the rapidity region, [Formula: see text], [Formula: see text], and [Formula: see text], while EPOS-LHC model in the region, [Formula: see text], very well explained the experimental data. Although good comparison of the models predictions with the experimental data is observed, none of them completely describe the experimental data the spectra of strange particles over the entire [Formula: see text] and [Formula: see text] range.

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