In this work,we perform a Bayesian inference of the crust-core transition density ρ_(t) of neutron stars based on the neutron-star radius and neutron-skin thickness data using a thermodynamical method.Uniform and Gau...In this work,we perform a Bayesian inference of the crust-core transition density ρ_(t) of neutron stars based on the neutron-star radius and neutron-skin thickness data using a thermodynamical method.Uniform and Gaussian distributions for the ρ_(t) prior were adopted in the Bayesian approach.It has a larger probability of having values higher than 0.1 fm^(−3) for ρ_(t) as the uniform prior and neutron-star radius data were used.This was found to be controlled by the curvature K_(sym) of the nuclear symmetry energy.This phenomenon did not occur if K_(sym) was not extremely negative,namely,K_(sym)>−200 MeV.The value ofρ_(t) obtained was 0.075_(−0.01)^(+0.005) fm^(−3) at a confidence level of 68%when both the neutron-star radius and neutron-skin thickness data were considered.Strong anti-correlations were observed between ρ_(t),slope L,and curvature of the nuclear symmetry energy.The dependence of the three L-K_(sym) correlations predicted in the literature on crust-core density and pressure was quantitatively investigated.The most probable value of 0.08 fm^(−3) for ρ_(t) was obtained from the L-K_(sym) relationship proposed by Holt et al.while larger values were preferred for the other two relationships.展开更多
基于济南S波段双偏振多普勒天气雷达(CINRAD/SA-D)探测资料,并结合区域自动气象站以及常规观测资料,对2020年8月5日和6日山东两次极端强降水风暴环境条件进行对比分析,并重点分析莘县王庄集和兖州大安风暴的双偏振参量特征。结果表明:...基于济南S波段双偏振多普勒天气雷达(CINRAD/SA-D)探测资料,并结合区域自动气象站以及常规观测资料,对2020年8月5日和6日山东两次极端强降水风暴环境条件进行对比分析,并重点分析莘县王庄集和兖州大安风暴的双偏振参量特征。结果表明:两次极端强降水天气均具有较高的K指数和较大的对流有效位能(Convective Available Potential Energy,CAPE),湿层厚,垂直风切变中等偏弱,但6日强降水低层垂直风切变和相对风暴螺旋度明显偏强。风暴气流结构有明显差异:王庄集和大安风暴分别表现为倾斜上升和气旋性旋转气流结构,前者风暴顶辐散强而后者较弱,从而导致前者风暴顶高度及差分相移率(K_(DP))柱高度较高。不同高度微物理结构有差异:-10℃层高度之上,两者以固态粒子为主,而王庄集风暴含有更加深厚、丰富的霰粒子,-20~-10℃层还有一定浓度较小的液态粒子;-10℃层高度以下,两者以浓度较高的液态粒子为主,而王庄集风暴含有一定数量的冰相粒子。风暴低层测站周围差分反射率(Z_(DR))、K_(DP)和相关系数(Correlation Coefficient,CC)大致相当,Z_(DR)适中,粒子大小适中,K_(DP)和CC较大,风暴降水主体液态雨滴浓度较高,含水量丰富,从而产生高强度降水。展开更多
基金supported by the Shanxi Provincial Foundation for Returned Overseas Scholars (No. 20220037)Natural Science Foundation of Shanxi Province (No. 20210302123085)Discipline Construction Project of Yuncheng University
文摘In this work,we perform a Bayesian inference of the crust-core transition density ρ_(t) of neutron stars based on the neutron-star radius and neutron-skin thickness data using a thermodynamical method.Uniform and Gaussian distributions for the ρ_(t) prior were adopted in the Bayesian approach.It has a larger probability of having values higher than 0.1 fm^(−3) for ρ_(t) as the uniform prior and neutron-star radius data were used.This was found to be controlled by the curvature K_(sym) of the nuclear symmetry energy.This phenomenon did not occur if K_(sym) was not extremely negative,namely,K_(sym)>−200 MeV.The value ofρ_(t) obtained was 0.075_(−0.01)^(+0.005) fm^(−3) at a confidence level of 68%when both the neutron-star radius and neutron-skin thickness data were considered.Strong anti-correlations were observed between ρ_(t),slope L,and curvature of the nuclear symmetry energy.The dependence of the three L-K_(sym) correlations predicted in the literature on crust-core density and pressure was quantitatively investigated.The most probable value of 0.08 fm^(−3) for ρ_(t) was obtained from the L-K_(sym) relationship proposed by Holt et al.while larger values were preferred for the other two relationships.
文摘基于济南S波段双偏振多普勒天气雷达(CINRAD/SA-D)探测资料,并结合区域自动气象站以及常规观测资料,对2020年8月5日和6日山东两次极端强降水风暴环境条件进行对比分析,并重点分析莘县王庄集和兖州大安风暴的双偏振参量特征。结果表明:两次极端强降水天气均具有较高的K指数和较大的对流有效位能(Convective Available Potential Energy,CAPE),湿层厚,垂直风切变中等偏弱,但6日强降水低层垂直风切变和相对风暴螺旋度明显偏强。风暴气流结构有明显差异:王庄集和大安风暴分别表现为倾斜上升和气旋性旋转气流结构,前者风暴顶辐散强而后者较弱,从而导致前者风暴顶高度及差分相移率(K_(DP))柱高度较高。不同高度微物理结构有差异:-10℃层高度之上,两者以固态粒子为主,而王庄集风暴含有更加深厚、丰富的霰粒子,-20~-10℃层还有一定浓度较小的液态粒子;-10℃层高度以下,两者以浓度较高的液态粒子为主,而王庄集风暴含有一定数量的冰相粒子。风暴低层测站周围差分反射率(Z_(DR))、K_(DP)和相关系数(Correlation Coefficient,CC)大致相当,Z_(DR)适中,粒子大小适中,K_(DP)和CC较大,风暴降水主体液态雨滴浓度较高,含水量丰富,从而产生高强度降水。
