arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1701.04787astro-ph.COastro-ph.GAhep-ph
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用引力微透镜寻找QCD轴子

Searching for the QCD Axion with Gravitational Microlensing

Malcolm Fairbairn, David J. E. Marsh, Jérémie Quevillon

摘要:

负责轴子暗物质产生的相变可以产生大幅度的等曲率扰动,这些扰动坍缩成被称为轴子微团的致密物体。我们使用来自EROS调查的微透镜数据,以及斯巴鲁Hyper Suprime Cam最近的观测结果,对微集群场景进行限制。我们计算微透镜事件率的微集群处理它们作为空间扩展的对象与扩展的质量函数。使用公布的微透镜事件的数量上的界限,我们绑定的DM崩溃成小集群,$f_{\rm MC}$的分数。对于一个轴子与温度相关的质量一致的QCD轴子,我们发现$f_{\rm MC}<0.22(m_a/100\,μ\text{eV})^{-0.57}$,这代表了第一个观测约束的微团分数。我们预测,用斯巴鲁进行10个晚上的高效率观测就足以在整个QCD轴子质量范围内约束$f_{\rm MC}\lesssim 0.1$。我们做了各种近似,以获得这些限制和专门的分析,由观察队的EROS和斯巴鲁是必要的,以确认我们的结果。如果将来能对$f_{\rm MC}$进行精确的理论预言,那么微透镜就可以用来排除或发现QCD轴子。我们的计算的进一步细节在配套文件。

英文摘要:

The phase transition responsible for axion dark matter production can create large amplitude isocurvature perturbations which collapse into dense objects known as axion miniclusters. We use microlensing data from the EROS survey, and from recent observations with the Subaru Hyper Suprime Cam to place constraints on the minicluster scenario. We compute the microlensing event rate for miniclusters treating them as spatially extended objects with an extended mass function. Using the published bounds on the number of microlensing events we bound the fraction of DM collapsed into miniclusters, $f_{\rm MC}$. For an axion with temperature dependent mass consistent with the QCD axion we find $f_{\rm MC}<0.22(m_a/100\,μ\text{eV})^{-0.57}$, which represents the first observational constraint on the minicluster fraction. We forecast that a high-efficiency observation of ten nights with Subaru would be sufficient to constrain $f_{\rm MC}\lesssim 0.1$ over the entire QCD axion mass range. We make various approximations to derive these constraints and dedicated analyses by the observing teams of EROS and Subaru are necessary to confirm our results. If accurate theoretical predictions for $f_{\rm MC}$ can be made in future then microlensing can be used to exclude, or discover, the QCD axion. Further details of our computations are presented in a companion paper.

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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