An algorithm to locate the centers of baryon acoustic oscillations

An algorithm to locate the centers of baryon acoustic oscillations
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一种定位重子声振荡中心的算法

DOI:
10.1051/0004-6361/202039257
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发表时间:
2021
影响因子:
6.5
通讯作者:
Popik, C.
Popik, C.
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Brown, Z.;Mishtaku, G.;Demina, R.;Liu, Y.;Popik, C.

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早期宇宙中重子声振荡(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留下了印记,并被用作当代宇宙学的标准标尺。通常情况下,BAOs被检测到作为一个优先的长度尺度在两点统计,这给很少的信息的BAO结构的位置在真实的spaces.AimsThe本文所描述的算法的目的是找到可能的中心BAO在宇宙物质distribution.MethodsThe算法卷积的三维分布的物质密度与一个球壳核的可变半径放置在不同的位置。对应于卷积的最高值的位置对应于BAO的可能中心。这种方法是实现在一个开源的,计算效率algorithm.ResultsWe描述的算法,并提出将其应用到SDSS DR9 CMASS调查和相关的模拟catalogs.ConclusionsA详细的性能研究表明,该算法的能力,以定位BAO中心,并在这样做提出了一种新的检测BAO规模在星系调查。
ContextThe 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. Typically, BAOs are detected as a preferential length scale in two-point statistics, which gives little information about the location of the BAO structures in real space.AimsThe aim of the algorithm described in this paper is to find probable centers of BAOs in the cosmic matter distribution.MethodsThe 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 BAOs. This method is realized in an open-source, computationally efficient algorithm.ResultsWe describe the algorithm and present the results of applying it to the SDSS DR9 CMASS survey and associated mock catalogs.ConclusionsA detailed performance study demonstrates the ability of the algorithm to locate BAO centers and in doing so presents a novel detection of the BAO scale in galaxy surveys.
DOI: 10.1086/466512
发表时间: 2005-11-10
影响因子: 4.9
作者:
Eisenstein, DJ;Zehavi, I;York, DG
通讯作者: York, DG
DOI: 10.1093/mnras/sty1812
发表时间: 2016
影响因子: 4.8
作者:
R. Demina;S. Cheong;S. BenZvi;O. Hindrichs
通讯作者: O. Hindrichs