scholarly journals HIJING 1.0: A Monte Carlo program for parton and particle production in high energy hadronic and nuclear collisions

1994 ◽  
Vol 83 (2-3) ◽  
pp. 307-331 ◽  
Author(s):  
Miklos Gyulassy ◽  
Xin-Nian Wang
1989 ◽  
Vol 224 (4) ◽  
pp. 359-363 ◽  
Author(s):  
M. Sano ◽  
M. Wakai ◽  
H. Bandō

1997 ◽  
Vol 3 (S2) ◽  
pp. 885-886 ◽  
Author(s):  
Pierre Hovington ◽  
Dominique Drouin ◽  
Raynald Gauvin ◽  
David C. Joy

The range of electrons for a given beam energy and atomic number is one of the most valuable piece of information a microscopist must know before carrying out qualitative and quantitative analysis of heterogeneous samples in a scanning electron microscope (SEM). The frequently used parametrization of Kanaya & Okayama is only « valid » at high energy (EO > 10 keV). However, with the advent of Field Emission Gun SEM (FEGSEM) most of the effort has been toward low energy analysis where no parametrization is available yet. In this paper, the parametrization of the range of electrons at low energy as a function of atomic number and beam energy will be presented for both the backscattered and the internal electrons.The distribution of the maximum depth reached by 250 k electrons generated by the CASINO Monte Carlo program2 was used to compute the range for 10 elements at 20 energies.


1994 ◽  
Vol 09 (10) ◽  
pp. 863-874 ◽  
Author(s):  
RUDOLPH C. HWA

This is a brief review of the dynamical origins of intermittency. For elementary processes involving leptons and hadrons, we discuss toy models, perturbative QCD, Monte-Carlo and other models. For complex processes involving nuclear collisions we review theoretical ideas on hadronic fluctuations as consequences of phase transition.


Universe ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 64 ◽  
Author(s):  
Jamal Jalilian-Marian

Particle production in high energy hadronic/nuclear collisions in the Bjorken limit Q 2 , s → ∞ can be described in the collinear factorization framework of perturbative Quantum ChromoDynamics (QCD). On the other hand in the Regge limit, at fixed and not too high Q 2 with s → ∞ , a k ⊥ factorization approach (or a generalization of it) is the appropriate framework. A new effective action approach to QCD in the Regge limit, known as the Color Glass Condensate (CGC) formalism, has been developed which allows one to investigate particle production in high energy collisions in the kinematics where collinear factorization breaks down. Here we give a brief overview of particle production in CGC framework and the evolution equation which governs energy dependence of the observables in this formalism. We show that the new evolution equation reduces to previously known evolution equations in the appropriate limits.


2012 ◽  
Vol 86 (3) ◽  
Author(s):  
Alejandro Ayala ◽  
Isabel Dominguez ◽  
Jamal Jalilian-Marian ◽  
J. Magnin ◽  
Maria Elena Tejeda-Yeomans

2007 ◽  
Vol 85 (4) ◽  
pp. 385-392 ◽  
Author(s):  
D Ghosh ◽  
A Deb ◽  
S Biswas ◽  
P Mandal ◽  
P Kr. Haldar

This paper presents a fractality analysis of the compound multiplicity (pions + target protons) distribution in 12C–AgBr interactions at 4.5A GeV in terms of moments proposed by Takagi (Phys. Rev. Lett. 72, 32 (1994)) for both emission-angle (θ) and azimuthal-angle (ϕ) space. The generalized dimensions Dq, q = 1 to 5, have been calculated and compared to other studies. The analysis reveals the multifractal nature of particle production as a common feature of emission of different patterns in high-energy nuclear collisions. PACS Nos.: 25.75–q, 24.60 Ky


Author(s):  
Swarnapratim Bhattacharyya

Studies of asymmetric particle production and investigation of dynamical fluctuations in different multiplicity zone in azimuthal space are performed for <sup>16</sup>O-AgBr, <sup>22</sup>Ne-AgBr, <sup>28</sup>Si-AgBr and <sup>32</sup>S-AgBr interactions at (4.1-4.5) AGeV/c. Evidence of strong dynamical fluctuations is observed for the experimental data. Comparisons of the experimental results with the results of Monte Carlo simulated events (MC-RAND) and the results obtained from the analysis of AMPT model also strengthen the experimental findings.


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