Yu-Liang Yan
Commission on Higher Education
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Featured researches published by Yu-Liang Yan.
Computer Physics Communications | 2012
Ben-Hao Sa; D. Zhou; Yu-Liang Yan; Xiao-Mei Li; Sheng-Qin Feng; Bao-Guo Dong; X. Cai
Abstract We have updated the parton and hadron cascade model PACIAE for the relativistic nuclear collisions, from based on JETSET 6.4 and PYTHIA 5.7 to based on PYTHIA 6.4, and renamed as PACIAE 2.0. The main physics concerning the stages of the parton initiation, parton rescattering, hadronization, and hadron rescattering were discussed. The structures of the programs were briefly explained. In addition, some calculated examples were compared with the experimental data. It turns out that this model (program) works well. Program summary Program title: PACIAE version 2.0 Catalogue identifier: AEKI_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEKI_v1_0.html Program obtainable from: CPC Program Library, Queenʼs University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 297u2009523 No. of bytes in distributed program, including test data, etc.: 2u2009051u2009274 Distribution format: tar.gz Programming language: FORTRAN 77 Computer: DELL Studio XPS and others with a FORTRAN 77 or GFORTRAN compiler Operating system: Unix/Linux RAM: 1 G words Word size: 64 bits Classification: 11.2 Nature of problem: The Monte Carlo simulation of hadron transport (cascade) model is successful in studying the observables at final state in the relativistic nuclear collisions. However the high p T suppression, the jet quenching (energy loss), and the eccentricity scaling of v 2 etc., observed in high energy nuclear collisions, indicates the important effect of the initial partonic state on the final hadronic state. Therefore better parton and hadron transport (cascade) models for the relativistic nuclear collisions are highly required. Solution method: The parton and hadron cascade model PACIAE is originally based on the JETSET 7.4 and PYTHIA 5.7. The PYTHIA model has been updated to PYTHIA 6.4 with the additions of new physics, the improvements in existing physics, and the embedding of the JETSET model, etc. Therefore we update the PACIAE model to the new version of PACIAE 2.0 based on the PYTHIA 6.4 in this paper. In addition, some improvements in physics have been introduced in this new version. Restrictions: Depends on the problem studied. Running time: • Running 1000 events for inelastic pp collisions at s = 200 GeV by program PACIAE 2.0a to reproduce PHOBOS data of rapidity density at mid-rapidity, d N ch / d y = 2.25 − 0.30 + 0.37 [1], takes ≈3 minutes. • Running 0–6% most central Auxa0+xa0Au collision at s NN = 200 GeV by program PACIAE 2.0b and PACIAE 2.0c to reproduce PHOBOS data of charged multiplicity of 5060 [2] takes ≈13 seconds/event and ≈265 seconds/event, respectively. References: [1] B. Alver, et al., PHOBOS Collab., Phys. Rev. C 83 (2011) 024913, arXiv:1011.1940v1 . [2] B.B. Back, et al., PHOBUS Collab., Phys. Rev. Lett. 91 (2003) 052303.
Physical Review C | 2012
D. Zhou; L. P. Csernai; Yupeng Yan; Cheng Yun; Ben-Hao Sa; Yu-Liang Yan; Ayut Limphirat; X. Cai
We use the non-statistical fluctuation instead of the full one to explore the higher moment singularities of net proton event distributions in the relativistic Au+Au collisions at
Nuclear Physics | 2011
D. Zhou; Yu-Liang Yan; Bao-Guo Dong; Xiao-Mei Li; Du-Juan Wang; X. Cai; Ben-Hao Sa
sqrt{s_{NN}}
Physical Review C | 2012
Gang Chen; Yu-Liang Yan; De-sheng Li; D. Zhou; Mei-Juan Wang; Bao-Guo Dong; Ben-Hao Sa
from 11.5 to 200 GeV calculated by the parton and hadron cascade model PACIAE. The PACIAE results of mean (
Journal of Physics G | 2009
Ben-Hao Sa; D. Zhou; Bao-Guo Dong; Yu-Liang Yan; Hai-Liang Ma; Xiao-Mei Li
M
Computer Physics Communications | 2013
Ben-Hao Sa; Dai-Mei Zhou; Yu-Liang Yan; Bao-Guo Dong; Xu Cai
), variance (
Physical Review C | 2012
Mei-Juan Wang; D. Zhou; Yu-Liang Yan; Shou-Yang Hu; Gang Chen; Xiao-Mei Li; Li Ye; Ben-Hao Sa
sigma^2
Computer Physics Communications | 2015
D. Zhou; Yu-Liang Yan; Xing-Long Li; Xiao-Mei Li; Bao-Guo Dong; X. Cai; Ben-Hao Sa
), skewness (
Central European Journal of Physics | 2012
Ayut Limphirat; D. Zhou; Yu-Liang Yan; Bao-Guo Dong; C. Kobdaj; Yupeng Yan; L. P. Csernai; Ben-Hao Sa
S
Modern Physics Letters A | 2010
Xiao-Mei Li; Bao-Guo Dong; Yu-Liang Yan; Hai-Liang Ma; D. Zhou; Ben-Hao Sa
), and kurtosis (