论文标题
宇宙网络中的细丝和床单的最大程度：SDSS DR17的分析
The maximum extent of the filaments and sheets in the cosmic web: an analysis of the SDSS DR17
论文作者
论文摘要
细丝和床单在宇宙网络中引人注目。这些大规模结构的最大程度由于其结构多样性和复杂性而难以确定。我们从SDSS中构造了一个立方区域中的体积限制星系样本，将其分为较小的子立管，然后将其围绕。我们量化了三维星系分布中的平均丝状性和平面度作为密度阈值的函数，并将其与原始数据的改组实现相提并论。通过改变子立管的尺寸，重复分析不同的改组长度。洗牌数据中的平均丝状性和平面性显示，当改组尺度小于真正的丝和床单的最大尺寸时，会大大降低。我们观察到这些统计措施的统计学显着降低，即使在$ \ sim 130 \，$ mpc的缩放尺度下，这表明三维的细丝和床单可以延伸至此长度尺度。由于SDSS数据立方体的大小有限，它们可能会扩展到更大的长度尺度。我们希望通过将此方法应用于将来的更深入和更大的调查来确定这些长度尺度。
Filaments and sheets are striking visual patterns in cosmic web. The maximum extent of these large-scale structures are difficult to determine due to their structural variety and complexity. We construct a volume-limited sample of galaxies in a cubic region from the SDSS, divide it into smaller subcubes and shuffle them around. We quantify the average filamentarity and planarity in the three-dimensional galaxy distribution as a function of the density threshold and compare them with those from the shuffled realizations of the original data. The analysis is repeated for different shuffling lengths by varying the size of the subcubes. The average filamentarity and planarity in the shuffled data show a significant reduction when the shuffling scales are smaller than the maximum size of the genuine filaments and sheets. We observe a statistically significant reduction in these statistical measures even at a shuffling scale of $\sim 130 \,$Mpc, indicating that the filaments and sheets in three dimensions can extend up to this length scale. They may extend to somewhat larger length scales that are missed by our analysis due to the limited size of the SDSS data cube. We expect to determine these length scales by applying this method to deeper and larger surveys in future.
