Pushing the limits of detectability: mixed dark matter from strong gravitational lenses
Pushing the limits of detectability: mixed dark matter from strong gravitational lenses
复制标题
突破可探测性的极限：来自强引力透镜的混合暗物质
DOI：
10.1093/mnras/stad2251
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发表时间：
2023
影响因子：
4.8
通讯作者：
Treu, Tommaso
中科院分区：
文献类型：
--
作者：
Keeley, Ryan E.;Nierenberg, Anna M.;Gilman, Daniel;Birrer, Simon;Benson, Andrew;Treu, Tommaso
发展已知的暗物质的前沿之一在于使用强大的引力透镜来表征最小的暗物质光晕的数量。在强引力透镜图像中有大量的信息--我们试图回答的问题是，我们可以在多大程度上提炼这些信息。为此，我们使用来自强引力透镜图像的反常通量比方法预测了混合冷暖暗物质场景的可探测性。相对于冷暗物质，混合暗物质的晕质量函数被抑制了，但相对于暖暗物质，仍然预测了许多低质量的暗物质晕。由于强透镜信号接收来自一系列暗物质晕质量的贡献，并且由于该信号对暗物质晕的特定配置敏感，而不仅仅是晕质量函数，所以在晕质量函数中相对于冷暗物质的不同形式的抑制之间可能会出现简并。我们发现，对于一组具有不同主偏转器配置的透镜，因此对不同质量范围的晕质量函数的灵敏度不同，可以用贝叶斯概率为30：1的40个透镜来区分暖暗物质模型和混合暗物质模型对晕质量函数的不同抑制形式。
One of the frontiers for advancing what is known about dark matter lies in using strong gravitational lenses to characterize the population of the smallest dark matter haloes. There is a large volume of information in strong gravitational lens images – the question we seek to answer is to what extent we can refine this information. To this end, we forecast the detectability of a mixed warm and cold dark matter scenario using the anomalous flux ratio method from strong gravitational lensed images. The halo mass function of the mixed dark matter scenario is suppressed relative to cold dark matter but still predicts numerous low-mass dark matter haloes relative to warm dark matter. Since the strong lensing signal receives a contribution from a range of dark matter halo masses and since the signal is sensitive to the specific configuration of dark matter haloes, not just the halo mass function, degeneracies between different forms of suppression in the halo mass function, relative to cold dark matter, can arise. We find that, with a set of lenses with different configurations of the main deflector and hence different sensitivities to different mass ranges of the halo mass function, the different forms of suppression of the halo mass function between the warm dark matter model and the mixed dark matter model can be distinguished with 40 lenses with Bayesian odds of 30:1.