论文标题
量统计作为大规模结构的探针
Volume Statistics as a Probe of Large-Scale Structure
论文作者
论文摘要
我们研究了体积统计数据以探测不足区域在宇宙大规模结构中的分布。该统计量衡量了相对于拉格朗日的欧拉体积元素的变形，并且可以使用Tessellation方法从示踪剂颗粒构建。我们应用Voronoi和Delaunay Tessellation来研究密度和体积统计的聚类特性。它们的射击污染水平相似，因为两种方法都考虑了现场估计器中所有可用的示踪剂颗粒。 Tessellation在功率谱中引起平滑效果，可以通过大尺度上的恒定窗口函数近似。确定了相对于暗物质密度场的体积统计量的聚类偏差，并发现为负。我们进一步确定了体积统计量中的重子声学振荡（BAO）功能。除了在小尺度上弄平外，BAO还存在于体积功率谱中，而没有任何系统的偏见。这些观察结果表明，将数量统计的开发作为宇宙学的补充探针非常有前途。
We investigate the application of volume statistics to probe the distribution of underdense regions in the large-scale structure of the Universe. This statistic measures the distortion of Eulerian volume elements relative to Lagrangian ones and can be built from tracer particles using tessellation methods. We apply Voronoi and Delaunay tessellation to study the clustering properties of density and volume statistics. Their level of shot-noise contamination is similar, as both methods take into account all available tracer particles in the field estimator. The tessellation causes a smoothing effect in the power spectrum, which can be approximated by a constant window function on large scales. The clustering bias of the volume statistic with respect to the dark matter density field is determined and found to be negative. We further identify the Baryon Acoustic Oscillation (BAO) feature in the volume statistic. Apart from being smoothed out on small scales, the BAO is present in the volume power spectrum as well, without any systematic bias. These observations suggest that the exploitation of volume statistics as a complementary probe of cosmology is very promising.
