arXiv 2210.129072022-10-24astro-ph.CO

Fuzzy Dark Matter宇宙学模型的超分辨率模拟

Super-resolution simulation of the Fuzzy Dark Matter cosmological model

Meris Sipp, Patrick LaChance, Rupert Croft, Yueying Ni, Tiziana Di Matteo

备注：: 7 pages, 4 figures
DOI：: 10.1093/mnras/stad2341

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AI总结：

本文将AI超分辨率从ΛCDM扩展到FDM模型，在z=2的更小尺度和低两个数量级质量下，以几个百分点精度再现功率谱与晕质量函数。

摘要：

结合深度学习与N体模拟的AI超分辨率，已被证明能够成功再现Lambda冷暗物质宇宙学模型中的大尺度结构和晕丰度。在本文中，我们将其应用扩展到具有不同暗物质成分的模型，这里具体指Fuzzy Dark Matter（FDM，模糊暗物质），并采用这种差异被编码在初始功率谱中的近似。我们聚焦于红移z=2，所用模拟建模的尺度更小、质量更低；与以往AI超分辨率工作相比，质量低了两个数量级。我们发现，超分辨率技术能够将功率谱和晕质量函数再现到与完整高分辨率计算相差仅几个百分点以内。我们还发现，由纤维状结构的虚假数值碎裂导致的晕伪影，同样存在于超分辨率输出中。尽管我们尚未使用完整的量子压力FDM模拟来训练该超分辨率算法，但它在相关长度和质量尺度上表现良好，这一事实意味着，在某些情形下，它有望成为一种可避免后者极高计算成本的技术。我们的结论是，AI超分辨率可以成为一种有用工具，用于扩展模拟星表所覆盖的暗物质模型范围。

英文摘要：

AI super-resolution, combining deep learning and N-body simulations has been shown to successfully reproduce the large scale structure and halo abundances in the Lambda Cold Dark Matter cosmological model. Here, we extend its use to models with a different dark matter content, in this case Fuzzy Dark Matter (FDM), in the approximation that the difference is encoded in the initial power spectrum. We focus on redshift z = 2, with simulations that model smaller scales and lower masses, the latter by two orders of magnitude, than has been done in previous AI super-resolution work. We find that the super-resolution technique can reproduce the power spectrum and halo mass function to within a few percent of full high resolution calculations. We also find that halo artifacts, caused by spurious numerical fragmentation of filaments, are equally present in the super-resolution outputs. Although we have not trained the super-resolution algorithm using full quantum pressure FDM simulations, the fact that it performs well at the relevant length and mass scales means that it has promise as technique which could avoid the very high computational cost of the latter, in some contexts. We conclude that AI super-resolution can become a useful tool to extend the range of dark matter models covered in mock catalogs.

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