首页> 外文期刊>Journal of Physics, G. Nuclear and Particle Physics: An Institute of Physics Journal >Bayesian inference of the incompressibility, skewness and kurtosis of nuclear matter from empirical pressures in relativistic heavy-ion collisions
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Bayesian inference of the incompressibility, skewness and kurtosis of nuclear matter from empirical pressures in relativistic heavy-ion collisions

机译:来自相对论重离子碰撞的经验压力的核资源的不可压缩性,偏光和峰值的贝叶斯推动

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Within the Bayesian statistical framework we infer the incompressibility K-0, skewness J(0) and kurtosis Z(0) parameters of symmetric nuclear matter (SNM) at its saturation density rho(0) using the constraining bands on the pressure in cold SNM in the density range of 1.3 rho(0) to 4.5 rho(0) from transport model analyses of kaon production and nuclear collective flow in relativistic heavy-ion collisions. As the default option assuming the K-0, J(0) and Z(0) have Gaussian prior probability distribution functions (PDFs) with the means and variances of 235 +/- 30, -200 +/- 200 and -146 +/- 1728 MeV, their posterior most probable values are narrowed down to 192-16+12 MeV, -180-110+100200-250+250 at 68% confidence level, respectively. The results are largely independent of the prior PDFs of J(0) and Z(0) used. However, if one adopts the strong belief that the incompressibility K-0 has a uniform prior PDF within its absolute boundary of 220-260 MeV as one can find easily in the literature, the posterior most probable values of K-0, J(0) and Z(0) shift to K0=220-0+6 MeV, J0=-390-70+60Z0=600-200+200 MeV, respectively. While the posterior PDFs of the SNM EOS parameters depend somewhat on the prior PDF of K-0 used, the results from using different prior PDFs are qualitatively consistent. The uncertainties of all three parameters are significantly reduced especially for the J(0) and Z(0) parameters compared to their current values.
机译:在贝叶斯统计框架内,我们推断不可压缩性K-0,从相对论重离子碰撞中kaon产生和核集体流的输运模型分析中,利用1.3 rho(0)到4.5 rho(0)密度范围内冷SNM中压力的约束带,计算了饱和密度rho(0)下对称核物质(SNM)的偏度J(0)和峰度Z(0)参数。作为默认选项,假设K-0、J(0)和Z(0)具有均值和方差为235+/-30、-200+/-200和-146+/-1728 MeV的高斯先验概率分布函数(PDF),它们的后验最可能值在68%置信水平下分别缩小为192-16+12 MeV、-180-110+100200-250+250。结果在很大程度上独立于之前使用的J(0)和Z(0)的PDF。然而,如果人们坚信不可压缩性K-0在其220-260 MeV的绝对边界内有一个统一的先验PDF,正如人们在文献中很容易找到的那样,K-0、J(0)和Z(0)的后验最可能值分别会转移到K0=220-0+6 MeV,J0=-390-70+60Z0=600-200+200 MeV。虽然SNM EOS参数的后验概率密度函数在一定程度上取决于所用K-0的先验概率密度函数,但使用不同先验概率密度函数的结果在质量上是一致的。与当前值相比,这三个参数的不确定性都显著降低,尤其是对于J(0)和Z(0)参数。

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