论文标题
轴承微量簇的结构
Structure of Axion Miniclusters
论文作者
论文摘要
峰点算法用于识别从字符串衰减模拟的初始轴心密度场中最密集的微量簇种子。通过跟踪宇宙学$ n $体体模拟中随后的重力崩溃，可以找到这些致密种子的命运。我们发现，NFW的轮廓很晚的微量散发器，尽管大约80 \％的模拟微量散布器$ r^{ - 2.9} $的单个幂律密度曲线是由于未解决的刻度半径而同样良好的拟合度。在假设所有具有未解决量表半径的微量簇均由幂律加上轴轴密度曲线描述，我们确定了大量的微量簇，如果轴突质量为$ 0.2 \，\ mathrm {mev} \ Mev} \ simsim m_a \ $ $ $ 3 \ \ \ \ \ \ \ \ \ \ \ \ $ 3 \ rm，如果轴突质量为$ 0.2 \，\ mathrm {mathrm {mev} \ syv $ n \ rm，则可能会产生重力显微覆盖。为了进一步探索这种可能性，必须进行更高的分辨率模拟来解决内部结构和轴心星形成。
The Peak-Patch algorithm is used to identify the densest minicluster seeds in the initial axion density field simulated from string decay. The fate of these dense seeds is found by tracking the subsequent gravitational collapse in cosmological $N$-body simulations. We find that miniclusters at late times are well described by NFW profiles, although for around 80\% of simulated miniclusters a single power-law density profile of $r^{-2.9}$ is an equally good fit due to the unresolved scale radius. Under the assumption that all miniclusters with an unresolved scale radius are described by a power-law plus axion star density profile, we identify a significant number of miniclusters that might be dense enough to give rise to gravitational microlensing if the axion mass is $0.2 \,\mathrm{meV}\lesssim m_a \lesssim 3\,\mathrm{meV}$. Higher resolution simulations resolving the inner structure and axion star formation are necessary to explore this possibility further.
