Within the Halo Model of large scale structure, all matter is contained in dark matter halos. This simple yet powerful framework has been broadly applied to multiple data sets and enriched our comprehension of how matter is distributed in the Universe. In this work we extend this assumption by allowing for matter to rest not only inside halos but also within cosmic voids and in between halos and voids (which we call 'dust'). This assumption leads to additional contributions (1Void, 2Void, Halo-Void, etc.) to the predictions of correlation functions, spectra and profiles for both halos and voids. Whereas the Halo Model can only make predictions for halo quantities, the Halo Void Model extends those for void statistics and halo-void cross-correlations. We provide recipes for all new ingredients of the Halo Void (Dust) Model, such as the void abundance, linear bias and density profile and test their validity in a N-body simulation. Including voids and dust into the calculations improves the transition between the 1Halo and the 2Halo terms by up to $\sim 6\%$. It also eliminates the need to include low-mass structures on the normalization of large-scale terms, suggesting that halos and voids are complementary cosmic structures to effectively describe matter distribution on large scales of the Universe.

中文翻译：

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大尺度结构的晕空（尘埃）模型

在大尺度结构的晕模型中，所有物质都包含在暗物质晕中。这个简单而强大的框架已广泛应用于多个数据集，丰富了我们对宇宙中物质分布的理解。在这项工作中，我们通过允许物质不仅停留在光晕内，而且也停留在宇宙空隙内以及光晕和空隙之间（我们称之为“尘埃”）来扩展这一假设。这一假设导致对相关函数、光谱和光晕和空隙轮廓的预测的额外贡献（1Void、2Void、Halo-Void 等）。Halo 模型只能对晕圈数量进行预测，而 Halo Void 模型则扩展了用于空隙统计和光晕-空隙互相关的预测。我们为 Halo Void (Dust) 模型的所有新成分提供配方，例如空隙丰度、线性偏差和密度分布，并在 N 体模拟中测试它们的有效性。在计算中包括空隙和灰尘可以将 1Halo 和 2Halo 项之间的过渡提高 $\sim 6\%$。它还消除了在大尺度项的归一化中包括低质量结构的需要，这表明晕和空洞是互补的宇宙结构，可以有效地描述宇宙大尺度上的物质分布。