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Astrophysics > Cosmology and Nongalactic Astrophysics

arXiv:1608.08638v2 (astro-ph)
[Submitted on 30 Aug 2016 (v1) , last revised 27 Oct 2016 (this version, v2)]

Title: A detection of the integrated Sachs-Wolfe imprint of cosmic superstructures using a matched-filter approach

Title: 使用匹配滤波方法探测宇宙超结构的积分萨克斯-沃尔弗印记

Authors:Seshadri Nadathur, Robert Crittenden
Abstract: We present a new method for detection of the integrated Sachs-Wolfe (ISW) imprints of cosmic superstructures on the cosmic microwave background, based on a matched filtering approach. The expected signal-to-noise ratio for this method is comparable to that obtained from the full cross-correlation, and unlike other stacked filtering techniques it is not subject to an a posteriori bias. We apply this method to Planck CMB data using voids and superclusters identified in the CMASS galaxy data from the Sloan Digital Sky Survey Data Release 12, and measure the ISW amplitude to be $A_\mathrm{ISW}=1.64\pm0.53$ relative to the $\Lambda$CDM expectation, corresponding to a $3.1\sigma$ detection. In contrast to some previous measurements of the ISW effect of superstructures, our result is in agreement with the $\Lambda$CDM model.
Abstract: 我们提出了一种新的方法,用于探测宇宙大尺度结构在宇宙微波背景上的综合萨克斯-沃尔夫(ISW)印迹,该方法基于匹配滤波技术。 此方法的预期信噪比与完全交叉相关获得的结果相当,并且与其他堆叠滤波技术不同,它不受后验偏差的影响。 我们将这种方法应用于普朗克宇宙微波背景数据,使用从斯隆数字巡天数据释放版12中识别出的空洞和超星团,并测量了ISW幅度为$A_\mathrm{ISW}=1.64\pm0.53$,相对于$\Lambda$冷暗物质(CDM)预期,相当于$3.1\sigma$倍检测。 与一些之前对超结构ISW效应的测量结果相比,我们的结果与$\Lambda$冷暗物质模型一致。
Comments: 7 pages, 3 figures. Updated to match version published in ApJ Letters. Catalogue data and information on parameter fits used are available from http://www.icg.port.ac.uk/stable/nadathur/voids/
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Cite as: arXiv:1608.08638 [astro-ph.CO]
  (or arXiv:1608.08638v2 [astro-ph.CO] for this version)
  https://doi.org/10.48550/arXiv.1608.08638
arXiv-issued DOI via DataCite
Journal reference: Astrophys.J. 830 (2016) L19
Related DOI: https://doi.org/10.3847/2041-8205/830/1/L19
DOI(s) linking to related resources

Submission history

From: Seshadri Nadathur [view email]
[v1] Tue, 30 Aug 2016 20:00:17 UTC (3,942 KB)
[v2] Thu, 27 Oct 2016 09:46:21 UTC (3,856 KB)
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