Total cross section, inelasticity, and multiplicity distributions in proton-proton collisions

Musulmanbekov, G.

doi:10.1134/1.1644012

Cited by 11 publications

(22 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(5) are shown in Fig. 9 which shows the best agreement between calculated by GPII model and the corresponding experimental data [36][37][38][39][40][41][42][43][44][45][46][47] 3 . The monotonic increase of with √ is shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The experimental data of p-p interactions have been measured, by using different giant accelerators and from cosmic rays, over the largest range of energies (up to √ ≈ 63 GeV for the multiplicity distribution, up to √ ≈ 10 3 GeV for the average multiplicity and up to √ ≈ 10 TeV for the total cross sections) [36][37][38][39][40][41][42][43][44][45][46][47] 1 . The GP is implemented using the experimental data to produce three different models, GPI, GPII, and GPIII that will simulate ( ), and (σ ), respectively, for the p-p interactions at the given range of energies.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Application of genetic programming for proton-proton interactions

El‐Dahshan

2011

Open Physics

View full text Add to dashboard Cite

Abstract:The aim of the present work is to use one of the machine learning techniques named the genetic programming (GP) to model the p-p interactions through discovering functions. In our study, GP is used to simulate and predict the multiplicity distribution of charged pions (P( )), the average multiplicity ( ) and the total cross section (σ ) at different values of high energies. We have obtained the multiplicity distribution as a function of the center of mass energy ( √ ) and charged particles ( ). Also, both the average multiplicity and the total cross section are obtained as a function of √ . Our discovered functions produced by GP technique show a good match to the experimental data. The performance of the GP models was also tested at non-trained data and was found to be in good agreement with the experimental data.PACS (

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Application of genetic programming for proton-proton interactions

El‐Dahshan

2011

Open Physics

View full text Add to dashboard Cite

show abstract

“…For example, interaction between R and G quarks can be performed by the combination of gluons The parameters of the model, namely, the maximum displacement, x max , and the parameters of the gaussian function, σ x,y,z , for hadronic matter distribution around VQ are chosen to be x max = 0.64 fm, σ x,y = 0.24 fm, σ z = 0.12 fm. They are adjusted by comparison between the calculated and experimental values of the total and differential cross sections for pp and pp collisions [3]. The mass of the constituent quark corresponding the value of the potential at maximum displacement is taken as…”

Section: Strongly Correlated Quark Modelmentioning

confidence: 99%

“…In this case different color fields of quarks belonging to the neighbour nucleons being overlapped create additional minima of the potentials at the maximal quark displacements in each nucleon with a small (∼ 2 -8 MeV) well depth. With regards to the spin and flavor alignment of adjacent quarks, we should take into account the fact that the multiquark states of 6, 9, 9, and 12 quarks in deuteron, 3 H, 3 He and 4 He belong to the completely antisymmetric representation of the SU(12) group which contains the direct product…”

Section: Multinucleon Systems Nucleimentioning

confidence: 99%

From Quark and Nucleon Correlations to Discrete Symmetry and Clustering in Nuclei

Musulmanbekov¹

2017

Exotic Nuclei

Self Cite

View full text Add to dashboard Cite

Starting with a quark model of nucleon structure in which the valence quarks are strongly correlated within a nucleon, the light nuclei are constructed by assuming similar correlations of the quarks of neighboring nucleons. Applying the model to larger collections of nucleons reveals the emergence of the face-centered cubic (FCC) symmetry at the nuclear level. Nuclei with closed shells possess octahedral symmetry. Binding of nucleons are provided by quark loops formed by three and four nucleon correlations. Quark loops are responsible for formation of exotic (borromean) nuclei, as well. The model unifies independent particle (shell) model, liquid-drop and cluster models.

show abstract

“…They are adjusted by comparison of calculated and experimental values of inelastic cross sections, σ in (s), and inelastic overlap function G in (s, b) for pp and pp− collisions [4]. The current mass of valence quark is taken to be 5 M eV .…”

mentioning

confidence: 99%

Deformed nucleon, vorticity and proton spin

Musulmanbekov¹

2016

J. Phys.: Conf. Ser.

Self Cite

View full text Add to dashboard Cite

Abstract. In the framework of the proposed by the author Strongly Correlated Quark Model the valence quarks are treated as vortical solitons, and the proton spin arises from the additive sum of the valence quark vorticities. The spin "crisis" is a manifestation of the irrotational character of vortical fields quarks. JINR, Dubna, Russia E-mail: genis@jinr.ruOne the most challenging key questions in hadronic physics is understanding the spin structure of the proton. From non-relativistic quark model we know that the proton spin is composed of spins of constituent quarks additive sum of which gives one half. However, deep inelastic scattering experiments have found out that only ∼ 20% of proton spin is carried out by quark spins. It is natural to describe the proton spin according to the sum rulewhere J q and J g are total angular momenta of quarks and gluons, respectively. There are two important tasks emerging from this sum rule: to separate total angular momenta both quarks and gluons into intrinsic spins and orbital angular momenta and to define observable quantities corresponing them. So, question is: where does the proton spin come from? In this paper we describe the spin of the proton as arising from the hadronic flow circulating around valence quarks. Considerations are performed in the framework of so-called Strongly Correlated Quark Model (SCQM) [1]. The ingredients of the model are the following. Suppose a single quark of definite color embedded in vacuum. Because of its color charge the surrounding vacuum becomes polarized that in turn results in a creation of quark and gluon condensate. The quark, as a defect in vacuum, experiences a pressure from the surrounding vacuum due to the zero point radiation or quantum fluctuations. If we place the corresponding antiquark in the vicinity of the first one their color fields of opposite sign interfere destructively in the overlapped regions eliminating each other, mostly in space between them. This effect leads to decreasing of condensates density in the same regions and overbalancing of the vacuum pressure acting on quark (antiquark) from all directions. As a result the attractive force between quark and antiquark emerges and quark and antiquark start to move towards each other. The density of the remaining condensate around quark (antiquark) is identified with hadronic matter distribution. At maximum displacement in qq− system, that corresponds to small overlapping of polarization fields, hadronic matter distributions have maximum extent and values. The more close quarks come to each other, the more is the destructive interference of their fields in between them, and the less hadronic matter distributions remain around the quarks. In that way quark and antiquark start to oscillate near their center of mass. For such interacting qq− pair located on X axis at distance 2x from each other the total Hamiltonian is

show abstract

Total cross section, inelasticity, and multiplicity distributions in proton-proton collisions

Cited by 11 publications

References 17 publications

Application of genetic programming for proton-proton interactions

Application of genetic programming for proton-proton interactions

From Quark and Nucleon Correlations to Discrete Symmetry and Clustering in Nuclei

Deformed nucleon, vorticity and proton spin

Contact Info

Product

Resources

About