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The impact of global nuclear mass model uncertainties on r-process abundance predictions

机译:全球核质量模型不确定性对r过程丰度预测的影响

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Rapid neutron capture or ‘r-process’ nucleosynthesis may be responsible for half the production of heavy elements above iron on the periodic table. Masses are one of the most important nuclear physics ingredients that go into calculations of r-process nucleosynthesis as they enter into the calculations of reaction rates, decay rates, branching ratios and Q-values. We explore the impact of uncertainties in three nuclear mass models on r-process abundances by performing global monte carlo simulations. We show that root-mean-square (rms) errors of current mass models are large so that current r-process predictions are insufficient in predicting features found in solar residuals and in r-process enhanced metal poor stars. We conclude that the reduction of global rms errors below 100 keV will allow for more robust r-process predictions.
机译:快速中子捕获或“ r过程”核合成可能是周期表中铁上方重元素产生量的一半。质量是r过程核合成计算中最重要的核物理成分之一,它们进入反应速率,衰变速率,分支比和Q值的计算中。通过执行全球蒙特卡洛模拟,我们探索了三种核质量模型中不确定性对r过程丰度的影响。我们表明,当前质量模型的均方根(rms)误差很大,因此当前的r过程预测不足以预测在太阳残差和r过程增强的金属贫乏恒星中发现的特征。我们得出结论,将全局均方根误差降低到100 keV以下将允许更可靠的r过程预测。

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