Strange particle production in relativistic nucleus-nucleus collisions in the RHIC BES energy region
The parton and hadron cascade model PACIAE is used to investigate strange particle production in Au + Au collisions at √s = 62.4 GeV in different centralities and at √s =39, 11.5 and 7.7 GeV in the most central collision, respectively. It is shown that the transverse momentum distributions of strang...
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| Published in | Chinese physics C Vol. 40; no. 3; pp. 79 - 84 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.03.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-1137 0254-3052 |
| DOI | 10.1088/1674-1137/40/3/034104 |
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| Summary: | The parton and hadron cascade model PACIAE is used to investigate strange particle production in Au + Au collisions at √s = 62.4 GeV in different centralities and at √s =39, 11.5 and 7.7 GeV in the most central collision, respectively. It is shown that the transverse momentum distributions of strange particles by the PACIAE model fit the RHIC Beam Energy Scan experimental results well. |
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| Bibliography: | 11-5641/O4 The parton and hadron cascade model PACIAE is used to investigate strange particle production in Au + Au collisions at √s = 62.4 GeV in different centralities and at √s =39, 11.5 and 7.7 GeV in the most central collision, respectively. It is shown that the transverse momentum distributions of strange particles by the PACIAE model fit the RHIC Beam Energy Scan experimental results well. Cong-Cong Zhang, Xian-Bao Yuan,Sheng-Qin Feng, Zhong-Bao Yin (1 College of Science, China Three Gorges University, Yichang 443002, China ;2 Key Laboratory of Quark and Lepton Physics (Huazhong Normal University), Ministry of Education, Wuhan 430079, China ; 3 School of Physics and Technology, Wuhan University, Wuhan 430072, China ; 4 Institute of Particle Physics, Central China Normal University, Wuhan 430079, China) strange particles transverse momentum distributions PACIAE model ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1674-1137 0254-3052 |
| DOI: | 10.1088/1674-1137/40/3/034104 |