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arXiv 1202.4226hep-phhep-exnucl-ex
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量子统计框架中的双组分模型与能量达到$\sqrt {s}$ = 7 TeV的质子-质子碰撞多重数分布的比较

Two-component model in quantum statistical framework compared with multiplicity distributions in proton-proton collisions at energies up to $\sqrt {s}$ = 7 TeV

Premomoy Ghosh

摘要:

在新的高能量($\sqrt {s} =$ 2.36和7 TeV)在LHC质子-质子碰撞导致更大的平均多重性($<n>$)的带电粒子在中快度区域比估计的不同的模型和事件发生器。多重性数据中另一个重要的观测结果是对称赝快度间隔$|η|<$ 2.4中初级带电强子分布斜率的变化。这种变化在$\sqrt{s} = 7$ TeV的数据中最为显著。这些新的观察结果值得进一步研究。考虑一个粒子产生的两分量模型,分析了质心能量为$\sqrt{s} = $ 0.9,2.36和7 TeV的质子-质子碰撞中,在对称的赝快度间隔$|η|$中,带电强子的多重数分布,其中赝快度间隔$|η|$的宽度在质心附近逐渐增加$η_{cm} = 0$ .该模型,基于量子统计(QS)的形式主义,描述了多重性分布的卷积的负二项分布(NBD),代表一个混乱的组件,和泊松分布(PD),代表粒子生产的相干组件。该模型的特征参数的行为遵循的LHC数据,而标度律,涉及量子统计观点的信息熵,并作为从两个组件模型获得的混沌多重性的函数导出,不服从的数据,令人满意。试图匹配测量的多重性分布和建议的卷积与从数据中提取的特征参数的值确认数据和模型之间的分歧。

英文摘要:

Proton-proton collisions at new high energies ($\sqrt {s} =$ 2.36 and 7 TeV) at LHC resulted into greater mean multiplicities ($<n>$) of charged particles in the mid-rapidity region than estimated ones by different models and event generators. Another significant observation in multiplicity data is the change in slope in the distribution of primary charged hadrons in symmetric pseudorapidity interval $|η|<$2.4. The change is most prominent with data at $\sqrt{s} = 7$ TeV. These new observations merit further studies. We consider a two-component model of particle production to analyze multiplicity distributions of charged hadrons from proton-proton collisions at centre-of-mass energies $\sqrt{s} = $ 0.9, 2.36 and 7 TeV in symmetric pseudorapidity intervals $|η|$ of increasing width around the centre-of-mass pseudorapidity $η_{cm} = 0$. The model, based on quantum statistical (QS) formalism, describes multiplicity distribution by convolution of a Negative Binomial Distribution (NBD), representing a chaotic component, and a Poisson Distribution (PD), representing a coherent component of particle productions. The behaviour of characteristic parameters of the model is followed by the LHC data, while a scaling law, involving information entropy in quantum statistical viewpoint and derived as a function of chaotic multiplicity obtained from the two-component model, is not obeyed by the data, satisfactorily. An attempt to match the measured multiplicity distributions and suggested convolutions with values of characteristic parameters extracted from the data confirms disagreement between the data and the model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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