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arXiv 1502.06213nucl-thhep-phnucl-ex
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从RHIC到LHC能量的AA碰撞中的凝聚加碎裂强子

Hadrons from Coalescence plus Fragmentation in AA collisions from RHIC to LHC energy

Vincenzo Minissale, Francesco Scardina, Vincenzo Greco

摘要:

在一个合并加独立碎裂的方法中,我们计算了主强子的$p_T$谱:$π, K, p, \bar p, Λ, ϕ$在从低$p_T$到大约10 GeV的宽横动量范围内。这种方法的主要特点是几年前在RHIC能源公司开发的。增强模型与包含一些更多的主共振衰变,我们表明,该方法正确地预测的演化的$p_T$谱从RHIC到LHC的能量,特别是重子-介子比$p/π,\bar p/π,Λ/K$达到一个值的顺序单位在$p_T \sim 3\, \rm GeV$。这是在不改变聚结参数的情况下实现的。最近获得的$Λ$谱以及$p/π$和$Λ/K$的实验数据高达$p_T \sim 10\rm\, GeV$,表明在6 GeV左右的有限$p_T$范围内缺乏产额。这表明由AKK碎裂函数得到的重子$p_T$谱在$p_T\lesssim 8 \,\rm GeV$处太平坦。我们还表明,在一个合并加碎片的方法预测一个几乎$p_T$独立的$p/ϕ$比率高达$p_T \sim 4 \rm\, GeV$,随后在较高的$p_T$显着减少。这种行为是由$p_T< 2 \,\rm GeV$处的类似径向流效应和较大$p_T$处$ϕ$的碎片优势驱动的。

英文摘要:

In a coalescence plus independent fragmentation approach we calculate the $p_T$ spectra of the main hadrons: $π, K, p, \bar p, Λ, ϕ$ in a wide range of transverse momentum from low $p_T$ up to about 10 GeV. The approach in its main features was developed several years ago at RHIC energy. Augmenting the model with the inclusion of some more main resonance decays, we show that the approach correctly predicts the evolution of the $p_T$ spectra from RHIC to LHC energy and in particular the baryon-to-meson ratios $p/π,\bar p/π,Λ/K$ that reach a value of the order of unit at $p_T \sim 3\, \rm GeV$. This is achieved without any change of the coalescence parameters. The more recent availability of experimental data up to $p_T \sim 10\rm\, GeV$ for $Λ$ spectrum as well as for $p/π$ and $Λ/K$ shows some lack of yield in a limited $p_T$ range around 6 GeV. This indicates that the baryons $p_T$ spectra from AKK fragmentation functions are too flat at $p_T\lesssim 8 \,\rm GeV$. We also show that in a coalescence plus fragmentation approach one predicts a nearly $p_T$ independent $p/ϕ$ ratio up to $p_T \sim 4 \rm\, GeV$ followed by a significant decrease at higher $p_T$. Such a behavior is driven by a similar radial flow effect at $p_T< 2 \,\rm GeV$ and the dominance of fragmentation for $ϕ$ at larger $p_T$.

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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