Genetic programming for hadronic interactions at high energies

M. Y. El-Bakry; A. Radi

doi:10.1142/S0129183107010371

Genetic programming for hadronic interactions at high energies

M. Y. El-Bakry^*, A. Radi

^*Corresponding author for this work

Physics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Genetic programming (GP) has been used to discover a function that describes pseudorapidity 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.

Original language	English
Pages (from-to)	329-334
Number of pages	6
Journal	International Journal of Modern Physics C
Volume	18
Issue number	3
DOIs	https://doi.org/10.1142/S0129183107010371
Publication status	Published - Mar 2007

Keywords

Genetic programming
Hadron-hadron interactions
Proton-proton interaction at high energies
Pseudo-rapidity distribution

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Mathematical Physics
Physics and Astronomy(all)
Statistical and Nonlinear Physics

Access to Document

10.1142/S0129183107010371

Cite this

@article{0457c12abadc4e86996f718d0adc4b11,

title = "Genetic programming for hadronic interactions at high energies",

abstract = "Genetic programming (GP) has been used to discover a function that describes pseudorapidity 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.",

keywords = "Genetic programming, Hadron-hadron interactions, Proton-proton interaction at high energies, Pseudo-rapidity distribution",

author = "El-Bakry, {M. Y.} and A. Radi",

year = "2007",

month = mar,

doi = "10.1142/S0129183107010371",

language = "English",

volume = "18",

pages = "329--334",

journal = "International Journal of Modern Physics C",

issn = "0129-1831",

publisher = "World Scientific Publishing Co. Pte Ltd",

number = "3",

}

TY - JOUR

T1 - Genetic programming for hadronic interactions at high energies

AU - El-Bakry, M. Y.

AU - Radi, A.

PY - 2007/3

Y1 - 2007/3

N2 - Genetic programming (GP) has been used to discover a function that describes pseudorapidity 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.

AB - Genetic programming (GP) has been used to discover a function that describes pseudorapidity 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.

KW - Genetic programming

KW - Hadron-hadron interactions

KW - Proton-proton interaction at high energies

KW - Pseudo-rapidity distribution

UR - http://www.scopus.com/inward/record.url?scp=34249950586&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34249950586&partnerID=8YFLogxK

U2 - 10.1142/S0129183107010371

DO - 10.1142/S0129183107010371

M3 - Article

AN - SCOPUS:34249950586

VL - 18

SP - 329

EP - 334

JO - International Journal of Modern Physics C

JF - International Journal of Modern Physics C

SN - 0129-1831

IS - 3

ER -

Genetic programming for hadronic interactions at high energies

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this