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arXiv 1911.00544astro-ph.GAastro-ph.COhep-ph
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螺旋星系中的暗物质核和尖点及其演化

Dark Matter Cores and Cusps in Spiral Galaxies and their Explanations

Manoj Kaplinghat, Tao Ren, Hai-Bo Yu

摘要:

我们比较了螺旋星系的核心与尖点问题的解决方案,这也被认为是一个多样性问题,并证明了暗物质晕的尖点与恒星表面亮度相关。我们比较旋转曲线拟合的自相互作用的暗物质(SIDM)模型,其中自洽包括重子的晕轮廓的影响,和流体动力学N体模拟与冷暗物质(CDM)的dosage样本。SIDM模型预测了核心大小和恒星表面密度之间的强相关性,并且它提供了对数据的最佳全局拟合。没有强重子反馈效应的CDM模拟不能解释低表面亮度星系中的大暗物质核。另一方面,由于强反馈,CDM模拟不能产生具有高恒星和暗物质密度的星系类似物,因此它们在解释高表面亮度星系的旋转曲线方面存在困难。这意味着需要修改当前的反馈实现。我们还明确地表明,如何集中质量和恒星晕质量的关系一起导致径向加速度关系(RAR)在平均意义上,并重申这一点,RAR不捕捉星系旋转曲线的多样性在内部区域。这些结果使一个强有力的情况下,SIDM作为场星系的核心和尖点的解释。

英文摘要:

We compare proposed solutions to the core vs cusp issue of spiral galaxies, which has also been framed as a diversity problem, and demonstrate that the cuspiness of dark matter halos is correlated with the stellar surface brightness. We compare the rotation curve fits to the SPARC sample from a self-interacting dark matter (SIDM) model, which self-consistently includes the impact of baryons on the halo profile, and hydrodynamical N-body simulations with cold dark matter (CDM). The SIDM model predicts a strong correlation between the core size and the stellar surface density, and it provides the best global fit to the data. The CDM simulations without strong baryonic feedback effects fail to explain the large dark matter cores seen in low surface brightness galaxies. On the other hand, with strong feedback, CDM simulations do not produce galaxy analogs with high stellar and dark matter densities, and therefore they have trouble in explaining the rotation curves of high surface brightness galaxies. This implies that current feedback implementations need to be modified. We also explicitly show how the concentration-mass and stellar-to-halo mass relations together lead to a radial acceleration relation (RAR) in an averaged sense, and reiterate the point that the RAR does not capture the diversity of galaxy rotation curves in the inner regions. These results make a strong case for SIDM as the explanation for the cores and cusps of field galaxies.

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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