论文标题

颜色字符串渗透模型中横向动量分布的柔软和硬尺

Soft and hard scales of the transverse momentum distribution in the Color String Percolation Model

论文作者

García, J. R. Alvarado, Herrera, D. Rosales, Fierro, P., Ramírez, J. E., Téllez, A. Fernández, Pajares, C.

论文摘要

在颜色弦模型中,通过弦乐机理的卷积,横向动量分布(TMD)具有弦张力波动分布。考虑到这些波动的$ Q $ -Gaussian分布,TMD成为一个超几何汇合功能,可充分重现低和高$ p_t $ values的特征量表。在这种方法中,TMD的硬尺度是考虑弦张力波动的重尾分布的结果,其宽度上升为$ \ sqrt {s} $,多重性或中心性增加。在本文中,我们通过确定颜色抑制因子在颜色字符串渗透模型中介绍了TMD的完整信息,这也取决于$ q $ -Gaussian的参数。为此,我们分析了不同质量能量,倍数和中心中心的PP和AA碰撞数据报告的数据。特别是,对于最小偏差PP碰撞,我们发现$ Q $ -Gaussian参数和有效温度在单调上增加了质量能量中心的功能。在固定的$ \ sqrt {s} $处发现了AA碰撞的类似结果。 我们将这些结果汇总在一个相图中,该相图指示$ q $ -GAUSSIAN参数区域允许夸克 - 杜伦等离子体形成。

In color string models, the transverse momentum distribution (TMD) is obtained through the convolution of the Schwinger mechanism with the string tension fluctuations distribution. Considering a $q$-Gaussian distribution for these fluctuations, the TMD becomes a hypergeometric confluent function that adequately reproduces the characteristic scales at low and high $p_T$ values. In this approach, the hard scale of the TMD is a consequence of considering a heavy-tailed distribution for the string tension fluctuations whose width rises as $\sqrt{s}$, multiplicity or centrality increases. In this paper, we introduce the complete information of the TMD in the color string percolation model by means of the determination of the color suppression factor, which now also depends on the parameters of the $q$-Gaussian. To this end, we analyze the reported data on pp and AA collisions at different center of mass energies, multiplicities, and centralities. In particular, for minimum bias pp collisions, we found that the $q$-Gaussian parameters and the effective temperature are monotonically increasing functions of the center of mass energy. Similar results are found for AA collisions as a function of the centrality at fixed $\sqrt{s}$. We summarize these results in a phase diagram that indicates the $q$-Gaussian parameters region allowing the quark-gluon plasma formation.

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