用皮尔逊曲线法构造净质子多重数分布的概率密度函数
Constructing probability density function of net-proton multiplicity distributions using Pearson curve method
摘要：
根据STAR实验的束流能量扫描结果，采用皮尔逊曲线法，构造了质子、反质子和净质子多重数分布的概率密度函数。将所构造的质子和反质子分布与泊松分布和二项式分布进行了比较。将净质子几率分布与Reynlam分布进行了比较，研究了手性交叉跃迁附近的O（4）临界性。将根据获得的PDF估计的$C_{6}/C_{2}$结果与射束能量扫描数据的Tumblam和Binomial基线进行比较。目前的研究显示了O（4）临界性的一些特征，可以通过精确测量累积量和了解非临界涨落对它们的贡献来进一步研究。本研究也提供了一个基线的高阶累积量测量在即将到来的RHIC BES II计划和未来的LHC运行。
英文摘要：
The probability density functions of proton, anti-proton, and net-proton multiplicity distributions are constructed from the Beam Energy Scan results of the STAR experiment using the Pearson curve method. The constructed distributions of proton and anti-proton are compared with Poisson and Binomial distributions. The net-proton probability distributions are compared with Skellam distributions to study the O(4) criticality near the chiral crossover transition. The $C_{6}/C_{2}$ results estimated from the obtained PDFs are compared with Skellam and Binomial baselines for the Beam Energy Scan data. The current study shows some signatures of O(4) criticality, which can be further investigated by precision measurements of the cumulants and understanding the contribution of non-critical fluctuations to them. This study also provides a baseline for the higher-order cumulant measurement in the upcoming RHIC BES II program and future LHC run.
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