Cumulants of event-by-event net-strangeness distributions in Au plus Au collisions at root s(NN)=7.7-200 GeV within an UrQMD model

Zhou Chang; Xu Ji; Luo Xiaofeng; Liu Feng

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Cumulants of event-by-event net-strangeness distributions in Au plus Au collisions at root s(NN)=7.7-200 GeV within an UrQMD model

机译：逐个事件急性网络统计分布的累积分布在Root S（NN）= 7.7-200 GEV中的AU Plus Au碰撞

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Fluctuations of conserved quantities, such as baryon, electric charge, and strangeness number, are sensitive observables in heavy-ion collisions to search for the QCD phase transition and critical point. In this paper, we performed a systematical analysis on the various cumulants and cumulant ratios of event-by-event net-strangeness distributions in Au+Au collisions at root s(NN) = 7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV from an ultrarelativistic quantum molecular dynamics model. We performed a systematical study on the contributions from various strange baryons and mesons to the net-strangeness fluctuations. The results demonstrate that the cumulants and cumulant ratios of net-strangeness distributions extracted from different strange particles show very different centrality and energy-dependence behavior. By comparing with the net-kaon fluctuations, we found that the strange baryons play an important role in the fluctuations of net strangeness. This study can provide useful baselines to study the QCD phase transition and search for the QCD critical point by using the fluctuations of net strangeness in heavy-ion collisions experiment. It can help us to understand noncritical physics contributions to the fluctuations of net strangeness.

机译：保守的数量的波动，例如骨折，电荷和奇异数，在重离子碰撞中是敏感的可观察，以寻找QCD相变和临界点。在本文中，我们对逐次急性净血统分布的各种累积剂和累积比在Root S（NN）= 7.7,11.7,19.6,27,39,62.4，来自Utrarivistic量子分子动力学模型的200 GEV。我们对各种奇怪的Baryons和Mesons的贡献进行了系统的研究。结果表明，从不同奇怪的颗粒中提取的净绞合分布的累积剂和累积比显示出非常不同的中心性和能量依赖性行为。通过与Net-Kaon波动进行比较，我们发现奇怪的Baryons在净陌生的波动中发挥着重要作用。本研究可以提供有用的基线来研究QCD相转变，并通过使用重离子碰撞实验中的净奇异的波动进行QCD关键点来搜索QCD关键点。它可以帮助我们了解非关键物理学对净陌生的波动的贡献。

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《Physical review, C》 |2017年第1期|共7页
作者
Zhou Chang; Xu Ji; Luo Xiaofeng; Liu Feng;
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Cent China Normal Univ Key Lab Quark &

Lepton Phys MOE Wuhan 430079 Peoples R China;

Cent China Normal Univ Key Lab Quark &

Lepton Phys MOE Wuhan 430079 Peoples R China;

Cent China Normal Univ Key Lab Quark &

Lepton Phys MOE Wuhan 430079 Peoples R China;

Cent China Normal Univ Key Lab Quark &

Lepton Phys MOE Wuhan 430079 Peoples R China;

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正文语种 eng
中图分类原子核物理学、高能物理学;
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1. Cumulants of event-by-event net-strangeness distributions in Au plus Au collisions at root s(NN)=7.7-200 GeV within an UrQMD model [J] . Zhou Chang, Xu Ji, Luo Xiaofeng, Physical review, C . 2017,第1期

机译：逐个事件急性网络统计分布的累积分布在Root S（NN）= 7.7-200 GEV中的AU Plus Au碰撞
2. Cumulants of event-by-event net-strangeness distributions in Au + Au collisions at (s_(NN))~(1/2) = 7.7–200 GeV within an UrQMD model [J] . Chang Zhou, Ji Xu, Xiaofeng Luo, Physical Review C . 2017,第期

机译：在URQMD模型中（S_（NN））〜（1/2）= 7.7-200 GEV的AU + AU碰撞中的逐次违反帧质分布的累积分量
3. Cumulants of net-proton, net-kaon, and net-charge multiplicity distributions in Au plus Au collisions at root s(NN)=7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV within the UrQMD model [J] . Xu Ji, Yu Shili, Liu Feng, Physical review, C . 2016,第2期

机译：Net-Proton，Net-Kaon和Net-Cairy多重分布的累积剂在URQMD模型中的Root S（NN）= 7.7,11.5,19.6,27,39,62.4和200 GEV中的碰撞
4. Study of Bulk Properties in Cu+Au, Cu+Cu and Au+Au Collision at {formula}=200 GeV Using AMPT and UrQMD Models [C] . Sumit Kumar, Lokesh Kumar, Natasha Sharma DAE High Energy Physics Symposium . 2018

机译：Cu + Au，Cu + Cu和Au + Au + Au碰撞中散装性能的研究{公式} = 200 GEV使用AMPT和URQMD模型
5. The Quark Gluon Plasma Probed by Low Momentum Direct Photons in Au+Au Collisions at √SNN = 62.4 GeV and √S NN = 39 GeV Beam Energies [D] . Khachatryan, Vladimir. 2018

机译：Quark Gluon等离子体通过低动量直接光子探测Au + au碰撞在√snn= 62.4 gev和nn = 39 gev梁能量上
6. Genome-wide analysis of a recently active retrotransposon Au SINE in wheat: content distribution within subgenomes and chromosomes and gene associations [O] . Danielle Keidar, Chen Doron, Khalil Kashkush -1

机译：全基因组分析小麦中最近活跃的反转录转座子Au SINE：含量亚基因组和染色体内的分布以及基因关联
7. Cumulants of event-by-event net-strangeness distributions in Au+Au collisions at $\sqrt{s_\mathrm{NN}}$=7.7-200 GeV from UrQMD model [O] . Zhou, Chang, Xu, Ji, Luo, Xiaofeng, 2017

机译：在au + au中逐个事件的网络奇怪性分布的累积量来自UrQmD模型的$ \ sqrt {s_ \ mathrm {NN}} $ = 7.7-200 GeV的碰撞

Cumulants of event-by-event net-strangeness distributions in Au plus Au collisions at root s(NN)=7.7-200 GeV within an UrQMD model

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