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arXiv 2201.08179hep-phhep-ex
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利用 Chou-Yang 模型研究 CMS 实验在 $\sqrt{s}=$ 0.9、7 和 8 TeV 的 $pp$ 碰撞中的前后多重数分布

Forward-backward multiplicity distribution with the Chou-Yang model for $pp$ collisions at $\sqrt{s}=$ 0.9, 7 and 8 TeV from the CMS experiment

Z. Ong, P. Agarwal, H. W. Ang, A. H. Chan, C. H. Oh

AI总结:

本文用含总多重数和二项式不对称分量的 Chou-Yang 模型分析 CMS 开放数据,以 NBD 与 Furry-Yule 分布凸组合刻画 KNO 标度破坏,并预测 14 TeV。

摘要:

一种由总多重数分量和二项式不对称分量组成的 Chou-Yang 型多重数分布,被用于描述 CERN 的 CMS 实验在 $\sqrt{s}=$ 0.9、7 和 8 TeV 下获得的带电强子多重数数据。这些数据取自 CERN Open Data Portal 并经过处理。对于总多重数分量,研究发现 Negative Binomial Distribution 与 Furry-Yule Distribution 的凸组合能够很好地描述 KNO 标度破坏所特有的肩状结构。研究还发现,碰撞产生的平均团簇尺寸随碰撞能量增加而增大。文中给出了对 $\sqrt{s}=$ 14 TeV 下 $pp$ 碰撞的预测。

英文摘要:

A Chou-Yang type multiplicity distribution comprising a total multiplicity component and a binomial asymmetry component is used to describe charged hadron multiplicity data at $\sqrt{s}=$ 0.9, 7 and 8 TeV from the CMS experiment at CERN. The data was obtained and processed from the CERN Open Data Portal. For the total multiplicity component, it was found that a convex sum of a Negative Binomial Distribution and a Furry-Yule Distribution is able to describe the shoulder-like structure characteristic of KNO scaling violation well. The mean cluster size produced from collisions was also found to increase with collision energy. A prediction is given for $pp$ collisions at $\sqrt{s}=$ 14 TeV.

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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