Data structure in the HIJING 2.0 Monte Carlo program

被引：2
|
作者：
Xu, Rong [1 ,2 ]
机构：
[1] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China
[2] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Hubei, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS E | 2019年 / 28卷 / 07期
关键词：
Data structure; heavy-ion collisions; Monte Carlo simulations; TOTAL CROSS-SECTION; SQUARE-ROOT-S; MULTIPLICITY DISTRIBUTIONS; PSEUDORAPIDITY DISTRIBUTIONS; INELASTIC-SCATTERING; PARTICLE-PRODUCTION; NUCLEAR COLLISIONS; CHARGED-PARTICLES; ANTIPROTON-PROTON; PP INTERACTIONS;
D O I：
10.1142/S0218301319500538
中图分类号：
O57 [原子核物理学、高能物理学];
学科分类号：
070202 ;
摘要：
The Heavy-Ion Jet Interaction Generator (HIJING) Monte Carlo model was developed to simulate hadron production in proton-proton, proton-nucleus and nucleus-nucleus collisions. It has been updated recently with the latest parton distributions functions (PDFs) and new set of the parameters in the two-component mini-jet model that controls total p+p cross-section and the central pseudorapidity density. We will discuss these new elements in the HIJING 2.0 model, derive the two-component model from the eikonal formalism of hadron-hadron collisions and review the hadron spectra and multiplicity distributions as compared to recent experimental data at the LHC energies. We will review in particular the data structure of the Monte Carlo program and discuss future improvements.
引用
收藏
页数：25
相关论文
共 50 条
  • [21] HAWK 2.0: A Monte Carlo program for Higgs production in vector-boson fusion and Higgs strahlung at hadron colliders
    Denner, Ansgar
    Dittmaier, Stefan
    Kallweit, Stefan
    Mueck, Alexander
    COMPUTER PHYSICS COMMUNICATIONS, 2015, 195 : 161 - 171
  • [22] MCDoseE 2.0 A new Markov Chain Monte Carlo program for ESR dose response curve fitting and dose evaluation
    Joannes-Boyau, Renaud
    Duval, Mathieu
    Bodin, Thomas
    QUATERNARY GEOCHRONOLOGY, 2018, 44 : 13 - 22
  • [23] Crystal structure solution from powder diffraction data by the Monte Carlo method
    Harris, KDM
    Kariuki, BM
    Tremayne, M
    EPDIC 5, PTS 1 AND 2, 1998, 278-2 : 32 - 37
  • [24] A NEW MONTE CARLO APPROACH TO STRUCTURE SOLUTION FROM POWDER DATA.
    Andreev, Yuri G.
    Lightfoot, Philip
    Bruce, Peter G.
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 1996, 52 : C61 - C61
  • [25] Crystal structure solution from powder diffraction data by the Monte Carlo method
    Harris, K.D.M.
    Kariuki, B.M.
    Tremayne, M.
    Materials Science Forum, 1998, 278-281 (Pt 1): : 32 - 37
  • [26] A Monte Carlo approach to crystal structure determination from powder diffraction data
    Brodski, V
    Peschar, R
    Schenk, H
    JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2003, 36 : 239 - 243
  • [27] Monte Carlo simulation of a HEMT structure
    Amza, Claudiu
    Profirescu, Ovidiu-George
    Cimpian, Ioan
    Profirescu, Marcel D.
    PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2008, 9 (02): : 141 - 147
  • [28] Electron Structure Quantum Monte Carlo
    Luechow, Arne
    Petz, Rene
    Schwarz, Annett
    ZEITSCHRIFT FUR PHYSIKALISCHE CHEMIE-INTERNATIONAL JOURNAL OF RESEARCH IN PHYSICAL CHEMISTRY & CHEMICAL PHYSICS, 2010, 224 (3-4): : 343 - 355
  • [29] Monte Carlo prediction of alloy structure
    Good, BS
    Bozzolo, G
    Noebe, RD
    MATERIALS IN SPACE-SCIENCE, TECHNOLOGY AND EXPLORATION, 1999, 551 : 137 - 148
  • [30] ELECTRONIC STRUCTURE QUANTUM MONTE CARLO
    Bajdich, Michal
    Mitas, Lubos
    ACTA PHYSICA SLOVACA, 2009, 59 (02) : 81 - 168
12345