论文标题
评估不确定性的模拟，对从微观核模型衍生的超高宇宙射线核的传播进行了评估
Evaluations of uncertainties in simulations of propagation of ultrahigh-energy cosmic-ray nuclei derived from microscopic nuclear models
论文作者
论文摘要
光电分散是在乳层间空间中超高能量宇宙射线（UHECR）核的主要能量损失过程。因此，在模拟UHECR核的传播时，了解光分散性的系统不确定性至关重要。在这项工作中，我们使用密度功能理论（DFT）的随机相近似（RPA）（一种微观核模型）计算了横截面。我们使用三个不同的密度函数计算了29个核的$ E1 $强度。我们获得了具有$ e1 $强度的光核反应的横截面，包括光散发性。然后，我们在宇宙射线传播代码crpropa中实现了横截面。我们发现，假设某些天体物理参数值，使用RPA计算的UHECR能量谱预测与CRPROPA中默认的光构成模型之间的差异可能远远超过频谱的统计不确定性。我们还发现，假设UHECR能量谱和组成数据获得的某些天体物理学参数和CRPROPA默认值之间的差异假设UHECR源的现象学模型可以比数据的不确定性更重要。
Photodisintegration is a main energy loss process for ultrahigh-energy cosmic-ray (UHECR) nuclei in intergalactic space. Therefore, it is crucial to understand systematic uncertainty in photodisintegration when simulating the propagation of UHECR nuclei. In this work, we calculated the cross sections using the random phase approximation (RPA) of density functional theory (DFT), a microscopic nuclear model. We calculated the $E1$ strength of 29 nuclei using three different density functionals. We obtained the cross sections of photonuclear reactions, including photodisintegration, with the $E1$ strength. Then, we implemented the cross sections in the cosmic-ray propagation code CRPropa. We found that assuming certain astrophysical parameter values, the difference between UHECR energy spectrum predictions using the RPA calculation and the default photodisintegration model in CRPropa can be more than the statistical uncertainty of the spectrum. We also found that the differences between the RPA calculations and CRPropa default in certain astrophysical parameters obtained by a combined fit of UHECR energy spectrum and composition data assuming a phenomenological model of UHECR sources can be more than the uncertainty of the data.
