GENETIC PROGRAMMING FOR HADRONIC INTERACTIONS AT HIGH ENERGIES

2007 ◽  
Vol 18 (03) ◽  
pp. 329-334 ◽  
Author(s):  
M. Y. EL-BAKRY ◽  
A. RADI
Keyword(s):  
Experimental Data ◽  
Genetic Programming ◽  
Rapidity Distribution ◽  
Proton Proton ◽  
Hadronic Interactions ◽  
High Energies ◽  
Gp Model

Genetic programming (GP) has been used to discover a function that describes pseudo-rapidity distribution of created pions from proton–proton (p-p) interactions at high and ultra-high energies. The predicted distributions from the GP-based model are compared with the experimental data. The discovered function of GP model has proven matching better for experimental data.

scholarly journals Tensor pomeron, vector odderon and diffractive production of meson and baryon pairs in proton-proton collisions

2019 ◽  
Vol 206 ◽  
pp. 06005 ◽  
Author(s):  
Piotr Lebiedowicz ◽  
Otto Nachtmann ◽  
Antoni Szczurek
Keyword(s):  
Experimental Data ◽  
High Energy ◽  
Proton Proton ◽  
Proton Collisions ◽  
High Energies ◽  
Energy Proton ◽  
Diffractive Production ◽  
Proton Proton Collisions ◽  
Theoretical Results ◽  
The Continuum

We review some selected results of the tensor-pomeron and vectorodderon model of soft high-energy proton-proton scattering and central exclusive production of meson and baryon pairs in proton-proton collisions. We discuss the theoretical aspects of this approach and consider the phenomenological implications in a variety of processes at high energies, comparing to existing experimental data. We consider the diffractive dipion and dikaon production including the continuum and the dominant scalar and tensor resonance contributions as well as the photoproduction processes. The theoretical results are compared with existing CDF experimental data and predictions for planned or current LHC experiments, ALICE, ATLAS, CMS, LHCb are presented.

scholarly journals Pseudorapidity Distribution of Charged Particles and Square Speed of Sound Parameter inp-porp-p-Collisions over an Energy Range from 0.053 to 7 TeV

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ya-Qin Gao ◽  
Tian Tian ◽  
Li-Na Gao ◽  
Fu-Hu Liu
Keyword(s):  
Experimental Data ◽  
Energy Range ◽  
Speed Of Sound ◽  
Hydrodynamic Model ◽  
Charged Particles ◽  
Pseudorapidity Distribution ◽  
Proton Antiproton ◽  
Proton Proton ◽  
High Energies ◽  
Related Energy

Pseudorapidity distributions of charged particles produced in proton-proton (p-p) or proton-antiproton (p-p-) collisions over an energy range from 0.053 to 7 TeV are studied by using the four-component Landau hydrodynamic model. The results calculated by the model are in agreement with the experimental data of the UA5, PHOBOS, UA1, P238, CDF, ALICE, and CMS Collaborations which present orderly from low to high energies. According to the distribution widths of different components, the values and some features of square speed of sound parametercs2for “participant” and “spectator” quark components are obtained. It is shown that the speed of sound for “participant” quark components agrees approximately with that for “spectator” quark components in the error ranges. The present work is useful for studying nucleus-nucleus collisions in the related energy range.

scholarly journals PREDICTION OF NONLINEAR SYSTEM IN OPTICS USING GENETIC PROGRAMMING

2007 ◽  
Vol 18 (03) ◽  
pp. 369-374 ◽  
Author(s):  
AMR RADI
Keyword(s):  
Experimental Data ◽  
Refractive Index ◽  
Nonlinear System ◽  
Genetic Programming ◽  
Prediction Model ◽  
Output Data ◽  
Fiber Core ◽  
Input And Output ◽  
Gp Model

It is difficult to predict the dynamics of systems which are nonlinear and whose characteristic is unknown. In order to build a model of the system from input and output data without any knowledge about the system, we try automatically to build prediction model by Genetic Programming (GP). GP has been used to discover the function that describes nonlinear system to study the effect of wavelength and temperature on the refractive index of the fiber core. The predicted distribution from the GP based model is compared with the experimental data. The discovered function of the GP model has proved to be an excellent match to the experimental data.

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.

scholarly journals On Distributions of Emission Sources and Speed-of-Sound in Proton-Proton (Proton-Antiproton) Collisions

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Li-Na Gao ◽  
Fu-Hu Liu
Keyword(s):  
Experimental Data ◽  
Speed Of Sound ◽  
Gaussian Function ◽  
Charged Particles ◽  
Emission Sources ◽  
Proton Antiproton ◽  
Proton Proton ◽  
Model Calculations ◽  
High Energies ◽  
Rapidity Distributions

The revised (three-source) Landau hydrodynamic model is used in this paper to study the (pseudo)rapidity distributions of charged particles produced in proton-proton and proton-antiproton collisions at high energies. The central source is assumed to contribute with a Gaussian function which covers the rapidity distribution region as wide as possible. The target and projectile sources are assumed to emit isotropically particles in their respective rest frames. The model calculations obtained with a Monte Carlo method are fitted to the experimental data over an energy range from 0.2 to 13 TeV. The values of the squared speed-of-sound parameter in different collisions are then extracted from the width of the rapidity distributions.

scholarly journals High energy cosmic ray interactions and UHECR composition problem

2019 ◽  
Vol 210 ◽  
pp. 02001
Author(s):  
Sergey Ostapchenko
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Cosmic Rays ◽  
Cosmic Ray ◽  
High Energy ◽  
Ultra High Energy ◽  
Hadronic Interactions ◽  
High Energy Cosmic Rays ◽  
Cosmic Ray Interactions ◽  
Composition Problem

The differences between contemporary Monte Carlo generators of high energy hadronic interactions are discussed and their impact on the interpretation of experimental data on ultra-high energy cosmic rays (UHECRs) is studied. Key directions for further model improvements are outlined. The prospect for a coherent interpretation of the data in terms of the UHECR composition is investigated.

scholarly journals Discontinuous behaviour in large angle proton-proton elastic scattering at high energies

1967 ◽  
Vol 25 (2) ◽  
pp. 156-159 ◽  
Author(s):  
J.V. Allaby ◽  
G. Cocconi ◽  
A.N. Diddens ◽  
A. Klovning ◽  
G. Matthiae ◽  
...  
Keyword(s):  
Elastic Scattering ◽  
Large Angle ◽  
Proton Proton ◽  
High Energies ◽  
Proton Elastic Scattering

scholarly journals A combined model for pseudo-rapidity distributions in Cu–Cu collisions at BNL-RHIC energies

2016 ◽  
Vol 25 (04) ◽  
pp. 1650025 ◽  
Author(s):  
Z. J. Jiang ◽  
J. Wang ◽  
Y. Huang
Keyword(s):  
Experimental Data ◽  
Proper Time ◽  
Charged Particles ◽  
Dense Matter ◽  
Rapidity Distribution ◽  
Experimental Measurements ◽  
Combined Model ◽  
Model Predictions ◽  
Phobos Collaboration ◽  
Rapidity Distributions

The charged particles produced in nucleus–nucleus collisions come from leading particles and those frozen out from the hot and dense matter created in collisions. The leading particles are conventionally supposed having Gaussian rapidity distributions normalized to the number of participants. The hot and dense matter is assumed to expand according to the unified hydrodynamics, a hydro model which unifies the features of Landau and Hwa–Bjorken model, and freeze out into charged particles from a time-like hypersurface with a proper time of [Formula: see text]. The rapidity distribution of this part of charged particles can be derived analytically. The combined contribution from both leading particles and unified hydrodynamics is then compared against the experimental data performed by BNL-RHIC-PHOBOS Collaboration in different centrality Cu–Cu collisions at [Formula: see text] and 62.4[Formula: see text]GeV, respectively. The model predictions are consistent with experimental measurements.

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