论文标题
扩展的原始黑洞质量功能与尖峰
Extended primordial black hole mass functions with a spike
论文作者
论文摘要
我们介绍了旨在得出原始黑洞(PBHS)的一般质量功能的新闻技术形式主义的修改。在这种情况下,我们从原始功率谱(PPS)开始,其中包括单色尖峰,这是典型的超慢滚通膨胀模型。我们认为PBH的形成与线性能量密度波动的尖峰的振幅有关,来自带有蓝色指数的PPS。通过使用对数正态函数对尖峰进行建模,我们研究了所得质量函数尖峰的特性,并将其与基础的扩展质量分布进行比较。当尖峰处于PBH质量远低于扩展分布的指数截止的质量时,PBHS在尖峰中几乎没有质量密度,并且在这种情况下,在这种情况下,在这种情况下,将压力学的特征过度密度与阈值相差太大。当峰值质量类似于或大于截止质量时,这样做更合适。此外,它可以保持与扩展部分相似的质量密度。这种特殊的质量功能还包含大量的小型PBH,尤其是如果考虑稳定的PBH文物,并且可以为当今星系中心的超质量黑洞提供$ \ sim 1000m_ \ odot $种子。当质量有其他潜在的扩展分布时,对单色质量函数的暗物质对暗物质的比例的限制会有些放松。
We introduce a modification of the Press-Schechter formalism aimed to derive general mass functions for primordial black holes (PBHs). In this case, we start from primordial power spectra (PPS) which include a monochromatic spike, typical of ultra slow-roll inflation models. We consider the PBH formation as being associated to the amplitude of the spike on top of the linear energy density fluctuations, coming from a PPS with a blue index. By modelling the spike with a log-normal function, we study the properties of the resulting mass function spikes, and compare these to the underlying extended mass distributions. When the spike is at PBH masses which are much lower than the exponential cutoff of the extended distribution, very little mass density is held by the PBHs within the spike, and it is not ideal to apply the Press-Schechter formalism in this case as the resulting characteristic overdensity is too different from the threshold for collapse. It is more appropriate to do so when the spike mass is similar to, or larger than the cutoff mass. Additionally, it can hold a similar mass density as the extended part. Such particular mass functions also contain large numbers of small PBHs, especially if stable PBH relics are considered, and they can provide $\sim 1000M_\odot$ seeds for the supermassive black holes at the centres of present-day galaxies. The constraints on the fraction of dark matter in PBHs for monochromatic mass functions are somewhat relaxed when there is an additional underlying extended distribution of masses.