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(ρ_(0))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~5ρ_(0)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~4ρ_(0)以下发生一阶相变的可能性,并支持一个在低密区(-4ρ_(0))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。
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 ρ_(0) on the two-particle correlation is discussed with the ultra-relativistic quantum molecular dynamics(UrQMD)model.Focusing on the two 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~5ρ_(0),the HBT radius and parameters are sensitive to the stiffness of the EoS.By comparing with the experiment data,firstorder phase transition with a significant softening of the equation of state below 4 times nuclear saturation density can be excluded using HBT data,and the available data on the HBT radi 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 parameters 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.
作者
李鹏程
王永佳
李庆峰
张鸿飞
LI Pengcheng;WANG Yongjia;LI Qingfeng;ZHANG Hongfei(School of Science,Huzhou University,Huzhou 313000,Zhejiang,China;School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China;School of Physics,Xi’an Jiaotong University,Xi'an 710049,China)
出处
《原子核物理评论》
CAS
CSCD
北大核心
2024年第1期522-529,共8页
Nuclear Physics Review
基金
国家自然科学基金资助项目(12335008,12075085,U2032145)
国家重点研发计划资助项目(2020YFE0202002)。