论文标题
一种算法，用于定位重子振荡中心
An Algorithm to locate the centers of Baryon Acoustic Oscillations
论文作者
论文摘要
在早期宇宙中由重子声学振荡（BAO）形成的宇宙结构在大规模调查中可观察到的星系分布中印刷，并用作当代宇宙学的标准统治者。 BAO通常被检测为两个点统计中的优先长度比例，这几乎没有提供有关BAO结构在实际空间中的位置的信息。本文描述的算法的目的是在宇宙物质分布中找到BAO的可能中心。该算法将物质密度的三维分布与位于不同位置的可变半径的球形壳核进行卷积。与卷积的最高值相对应的位置对应于BAO的可能中心。该方法是在开源，计算有效算法中实现的。我们描述了该算法，并提出将其应用于SDSS DR9 CMASS调查和相关模拟目录的结果。一项详细的性能研究表明了该算法定位BAO中心的能力，并在此过程中提出了对银河系调查中BAO量表的新发现。
The cosmic structure formed from Baryon Acoustic Oscillations (BAO) in the early universe is imprinted in the galaxy distribution observable in large scale surveys, and is used as a standard ruler in contemporary cosmology. BAO are typically detected as a preferential length scale in two point statistics, which gives little information about the location of BAO structures in real space. The aim of the algorithm described in this paper is to find probable centers of BAO in the cosmic matter distribution. The algorithm convolves the three dimensional distribution of matter density with a spherical shell kernel of variable radius placed at different locations. The locations that correspond to the highest values of the convolution correspond to the probable centers of BAO. This method is realized in an open-source, computationally efficient algorithm. We describe the algorithm and present the results of applying it to the SDSS DR9 CMASS survey and associated mock catalogs. A detailed performance study demonstrates the algorithm's ability to locate BAO centers, and in doing so presents a novel detection of the BAO scale in galaxy surveys.
