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arXiv 1107.1291hep-phhep-ex
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用量子统计方法分析LHC到$\sqrt {s}$ = 7 TeV的质子-质子碰撞多重数分布

Analysis of multiplicity distributions in proton-proton collisions at LHC up to $\sqrt {s}$ = 7 TeV in quantum statistical approach

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($<e n >$)的带电粒子在中快度区域比估计的$< n >$ s由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在$\sqrt{s} = 7$ TeV的赝快度间隔$|η|<2.4$中初级带电强子分布斜率的变化。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$\sqrt{s} = 0.9$ TeV,$\sqrt{s} = 2.36$ TeV和$\sqrt{s} = 7$ TeV的质子-质子碰撞中,在质心赝快度$η_{cm} =0$附近赝快度间隔$|η|$逐渐增大时,带电强子的多重数分布.该模型,基于量子统计形式主义,认为一个混乱和另一个相干的粒子生产源。LHC的数据已被发现是一致的模型的特征。分析提供了一个合理的解释,观察到的变化,分布的斜率,并提出了一个可能的原因低估的事件发生器的平均多重性。此外,一个有趣的启示是偏离标度律,涉及信息熵在量子统计的观点,作为一个函数的混沌多重性从两个组件模型获得。

英文摘要:

Proton-proton collisions at new high energies ($\sqrt {s}=$2.36 and 7 TeV) at LHC resulted into a greater mean multiplicities ($<e n >$) of charged particles in the mid-rapidity region than estimated $< n >$s by different models and event generators. Another significant observation in multiplicity data is a change in slope in the distribution of primary charged hadrons in pseudorapidity intervals $|η|<2.4$ at $\sqrt{s} = 7$ TeV. These new observations merit further studies. We consider a two-component model of particle production to analyze the multiplicity distributions of charged hadrons from the proton-proton collisions at centre-of-mass energies $\sqrt{s} = 0.9$ TeV, $\sqrt{s} = 2.36$ TeV and $\sqrt{s} = 7$ TeV in pseudorapidity intervals $|η|$ of increasing width around the centre-of-mass pseudorapidity $η_{cm} =0$. The model, based on quantum statistical formalism, considers one chaotic and another coherent source of particle productions. The LHC data has been found to be consistent with characteristic features of the model. The analysis provides a reasonable explanation to the observed change in slope in the distribution and suggests a possible reason for underestimations of mean multiplicities by the event generators. In addition, an interesting revelation is the deviation from a scaling law, involving information entropy in quantum statistical viewpoint, derived as a function of chaotic multiplicity obtained from the two-component model.

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