Hyperon coupling dependence of hadron matter properties in relativistic mean field model
米爱军[1] 左维[1,2] 李昂[3]
[1]School of Nuclear Science and Technology,Lanzhou University,Lanzhou730000,China [2]Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou730000,China [3]School of Physical Science and Technology,Lanzhou University,Lanzhou730000,China
Hyperon coupling dependence of hadron matter properties in relativistic mean field model
Mi Ai-Jun, Zuo Wei, Li Ang(1.School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China;2. Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China;3. School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China)
Abstract:
The properties of hadronic matter at β equilibrium in a wide range of densities are described by appropriate equations of state in the framework of the relativistic mean field model. Strange meson fields, namely the scalar meson field σ*(975) and the vector meson field φ(1020), are included in the present work. We discuss and compare the results of the equation of state, nucleon effective mass, and strangeness fraction obtained by adopting the TM1, TMA, and GL parameter sets for nuclear sector and three different choices for the hypcron couplings. We find that the parameter set TM1 favours the onset of hyperons most, while at high densities the GL parameter set leads to the most hyperon-rich matter. For a certain parameter set (e.g. TM1), the most hyperon-rich matter is obtained for the hyperon potential model. The influence of the hyperon couplings on the effective mass of nucleon, is much weaker than that on the nucleon parameter set. The nonstrange mesons dominate essentially the global properties of dense hyperon matter. The hyperon potential model predicts the lowest value of the neutron star maximum mass of about 1.45 Msun to be 0.4--0.5 Msun lower than the prediction by using the other choices for hyperon couplings.[第一段]
Key words:
hyperon coupling, strange meson field, equations of state
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos 10575119 and 10235030), the Knowledge Innovation Program of Chinese Academy of Sciences (Grant No KJCX2-SW-N02), the State Key Development Program for Basic Research of China (Grant No G2000077400), the Key Preresearch Program of the Ministry of Science and Technology of China (Grant No 2002CCB00200), and the Asia Europe Link project of the European Commission (Grant No CN/ASIA-LINK/008(94791)).

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