利用两π介子HBT关联约束重离子碰撞中高密核物质的状态方程
The High-density Equation of State in Heavy-ion Collisions:Constraints from Two-pion HBT Correlation
李鹏程 1王永佳 2李庆峰 2张鸿飞3
作者信息
- 1. 湖州师范学院理学院,浙江湖州 313000;兰州大学核科学与技术学院,兰州 730000
- 2. 湖州师范学院理学院,浙江湖州 313000
- 3. 西安交通大学物理学院,西安 523808
- 折叠
摘要
高重子密度区核物质状态方程的研究是当前核物理研究的前沿热点问题之一.利用极端相对论量子分子动力学(UrQMD)模型,以两π介子Hanbury-Brown-Twiss(HBT)关联为例讨论了 2～5倍饱和密度(ρ0)区核物质状态方程对两粒子关联效应的影响.通过使用不同的核物质状态方程,展示了密度依赖的势相互作用以及相变对两π介子HBT关联和π介子发射源时空属性的影响.结果显示,在～5ρ0以下,π介子发射源的HBT半径及参数敏感于核物质状态方程的软硬,通过与实验数据的比较,现有的HBT半径实验数据排除了～4ρ0以下发生一阶相变的可能性,并支持一个在低密区(((≤))4ρ0)表现偏硬,且在高密区由于相变而逐渐软化的核物质状态方程.研究结果强调了π介子发射源的HBT半径及参数敏感于核物质状态方程的软硬,可用于理解和约束高重子密度区的核物质状态方程.
Abstract
The investigation of the equation of state(EoS)of nuclear matter,especially at high baryon densities is one of the hot topics in the frontier of nuclear physics.The impact of the EoS at 2～5 times saturation density ρ0 on the two-particle cor-relation is discussed with the ultra-relativistic quantum molecular dynamics(UrQMD)model.Focusing on the two π Hanbury-Brown-Twiss(HBT)correlations,by adopting different EoSs,the effects of potential interaction and phase transition on the HBT correlation and the spatiotemporal properties of the emission source of π are investigated.The results show that below～5ρ0,the HBT radius and parameters are sensitive to the stiffness of the EoS.By comparing with the experiment data,first-order phase transition with a significant softening of the equation of state below 4 times nuclear saturation density can be ex-cluded using HBT data,and the available data on the HBT radii in the investigated energy region favor a relatively stiff EoS at low densities,which then turns into a soft EoS at high densities.These results highlight that the pion's HBT radius and para-meters are sensitive to the stiffness of the equation of state,and can be used to constrain and understand the equation of state in the high baryon density region.
关键词
重离子碰撞/核物质状态方程/输运模型/HBT关联Key words
heavy-ion collision/equation of state/transport model/HBT correlation引用本文复制引用
基金项目
国家自然科学基金资助项目(12335008)
国家自然科学基金资助项目(12075085)
国家自然科学基金资助项目(U2032145)
国家重点研发计划资助项目(2020YFE0202002)
出版年
2024
NETL
NSTL
万方数据