An extensive knowledge of the dynamics of the process of pp collision serves as input to exhaustive theoretical models of strong interaction. This knowledge is also a baseline for a system to decipher the dynamics of AA collisions at relativistic and ultrarelativistic energies. Recent availability of di-muon data has triggered a spate of interests in revisiting strong interaction process, the study of which in detail is extremely important for enhancement of our understanding of not only the theory of strong interaction but also possible physics scenarios beyond the standard model. Apart from conventional approaches to the study of the dynamics of particle production in high-energy collision the present authors proposed a new approach with successful application in context of symmetry scaling in AA collision data from (ALICE-Collaboration, 2014) in the work (Bhaduri, S. et al., 2019) and pp collision data at 8TeV from (CMS-collaboration, 2017) in the work (Bhaduri, S. et al., 2019) and also in other numerous works with different collision data. This different approach essentially analyses fluctuation pattern from the perspective of symmetry scaling or degree of self-similarity involved in the process. This was done with the help of multifractal scaling analysis and also multifractal cross-correlation analysis using the single variable of pseudorapidity values of di-muon data taken out from the primary dataset of RunA(2011) and RunB(2012) of the pp collision at 7 TeV and 8 TeV, respectively, from (CMS-collaboration, 2016, 2017). High degree of persistent long-range cross-correlations (MF-DXA) exist between pseudorapidity-value and its corresponding azimuthal-value for different rapidity ranges. The different values of scaling exponents (across rapidity ranges and energies) signify that there may be multiple processes other than those conjectured, involved in the underlying dynamics of the production process of oppositely charged di-muons resulting in different kinds of scaling. Otherwise, the scaling exponents at different degrees would have remained the same across the rapidity ranges and also for different energies.

中文翻译：

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对称比例尺视角下CMS数据pp碰撞中Di-Muon生产过程的研究

pp碰撞过程动力学的广泛知识可作为详尽的强相互作用理论模型的输入。这些知识也是系统解密AA动态的基础相对论和超相对论能量的碰撞。对偶子数据的最新获取引发了人们对重新研究强相互作用过程的兴趣，对它的详细研究对于增强我们对强相互作用理论以及标准模型以外可能的物理场景的理解极为重要。 。除了研究高能碰撞中颗粒产生动力学的常规方法外，作者还提出了一种新方法，该方法在对称定标的背景下成功地应用于了来自（ALICE-Collaboration，2014）工作中的AA碰撞数据（Bhaduri） ，S. et al。，2019）和pp8TeV的碰撞数据来自（CMS-collaboration，2017）（Bhaduri，S. et al。，2019）以及其他许多具有不同碰撞数据的工作。这种不同的方法实质上是从过程中涉及的对称缩放或自相似程度的角度分析波动模式。这是借助多分形标度分析以及多分形互相关分析来完成的，该分形互相关分析使用的是从pp的RunA（2011）和RunB（2012）的主要数据集中提取的di-muon数据的伪快速度值的单个变量来自（CMS-collaboration，2016，2017）的7 TeV和8 TeV碰撞。对于不同的速度范围，伪快速度值与其对应的方位角值之间存在高度持续的长期互相关（MF-DXA）。结垢指数的不同值（跨越速度范围和能量）表明，除了推测的那些之外，可能还有多个过程，这些过程涉及带相反电荷的介子的生产过程的基础动力学，从而导致不同种类的结垢。否则，在不同的能量范围内，不同程度的缩放指数将在整个速度范围内保持相同。