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arXiv 2212.00560hep-phastro-ph.CO
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轴子迷你空洞及其对直接探测的影响

Axion minivoids and implications for direct detection

Benedikt Eggemeier, Ciaran A. J. O'Hare, Giovanni Pierobon, Javier Redondo, Yvonne Y. Y. Wong

AI总结:

本研究通过模拟量化了后暴胀轴子暗物质场景中迷你空洞对局部密度的影响,发现典型测量密度仅为银河系密度的10%,且年尺度积分时间下密度变化达20-30%,对直接探测实验有重要启示。

摘要:

在暴胀后QCD轴子暗物质产生的场景中,宇宙在极小尺度上充满了大的不均匀性。最终,这些涨落将通过引力坍缩形成致密的轴子迷你星团,这些星团在小行星质量的团块中捕获了多达约75%的暗物质。然而,轴子迷你星团在物理上非常微小,因此在地球上直接搜索轴子的卤镜实验更有可能探测到“迷你空洞”——即迷你星团之间的空间。这种场景似乎应该预示着卤镜实验的厄运,但尽管这些迷你空洞可能密度较低,它们并非完全没有轴子。利用薛定谔-泊松和N体模拟,从现实的初始场构型出发演化,我们量化了后暴胀场景中局部环境暗物质密度被抑制的程度。我们发现,典型的实验测量将采样到的轴子密度仅为预期银河系暗物质密度的约10%。我们的结果也对持续时间超过几年的实验活动以及对瞬态信号具有敏感性的宽带卤镜实验产生影响。我们表明,对于约一年量级的积分时间,测得的暗物质密度预计会有20%至30%的变化。

英文摘要:

In the scenario in which QCD axion dark matter is produced after inflation, the Universe is populated by large inhomogeneities on very small scales. Eventually, these fluctuations will collapse gravitationally to form dense axion miniclusters that trap up to $\sim$75% of the dark matter within asteroid-mass clumps. Axion miniclusters are physically tiny however, so haloscope experiments searching for axions directly on Earth are much more likely to be probing ``minivoids'' -- the space in between miniclusters. This scenario seems like it ought to spell doom for haloscopes, but while these minivoids might be underdense, they are not totally devoid of axions. Using Schrödinger-Poisson and N-body simulations to evolve from realistic initial field configurations, we quantify the extent to which the local ambient dark matter density is suppressed in the post-inflationary scenario. We find that a typical experimental measurement will sample an axion density that is only around 10% of the expected galactic dark matter density. Our results also have implications for experimental campaigns lasting longer than a few years, as well as broadband haloscopes that have sensitivity to transient signatures. We show that for a $\mathcal{O}$(year)-long integration times, the measured dark matter density should be expected to vary by 20--30%.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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